1. Last 7 days
    1. People tend to look at successful writers whoare getting their books published and maybe even doing well financially and thinkthat they sit down at their desks every morning feeling like a million dollars, feelinggreat about who they are and how much talent they have and what a great story theyhave to tell; that they take in a few deep breaths, push back their sleeves, roll theirnecks a few times to get all the cricks out, and dive in

      I like that Lamott points out that successful authors also use this method of writing, and that just because an author is successful, making so much money in sales, doesn't mean they don't struggle with writing. It humanizes people we may idolize due to enjoying their works. It also puts into perspective how long it may actually take to write that 900 page book you've been waiting to be released.

    2. I'd start writing without reining myself in. It was almost just typing, justmaking my fingers move. And the writing would be terrible. I'd write a leadparagraph that was a whole page, even though the entire review could only be threepages long, and then I'd start writing up descriptions of the food, one dish at a time,bird by bird,

      I like how she explains finally starting to write. how she writes more or less than needed and then going back later to fix it. I remember learning to just start writing what you're thinking, even if it has nothing to do with the topic you need to write about, eventually, you should get on topic and get it all out.

    1. Ooh, see that girl, watch that sceneDigging the dancing queen

      This turns into a transformation of now the dance floor becomes a space of admiration from the audience.

    1. It is highly procedural and driven entirely by gameplay loops.

      Agreed but at the same time there's a balance to find. After all if we literally wanted a video game we could just play that. There are enough of them out there. But some of it is of course personal preference.

      In fact some of it is personal ability. Game loops can substitute for our personal weaknesses as GMs. A good social engine can substitute for one's inability to simulate people decisions.

    2. It happened because of a combination of strict mechanical consequences, high stakes, and dynamic world elements.

      I think this is what attracts people to OSR. The idea that the world is independent of you and the pressure that exerts on you to take action rather than expecting to win.

      I see it as well in the Pokémon scene with custom roms (effectively heavily modded versions of old games) often making the design decision to make the game more consistent with the world it implies exists. Something that more often than not makes the game really hard.

    1. Some advocate being more explicit in how we guide students from elementary through post-secondary to practise and build this skill — and spell out why it's necessary.

      Teaching and explaining critical thinking in kids from elementary students and high school is something that seems to become more explicit in todays schools because children are using or have their own tech devise, making it harder for them to focus in school. To explicitly teach these skills in students early and build upon them through out their education

    2. As soon as students arrive on campuses every fall, he wants school leaders to send clear, consistent messages that the goal of education "is to learn well and think well."

      This sentence "learn well and think well" reflects 2 components of education and personal development. Learning well is more then just memorizing facts but encompassing a variety of strategies and approaches that enhance learning. Thinking well shows the ability to analyze information and evaluate your arguments. Focusing on effective learning strategies and promoting critical thinking skill. It's kind of sad to think how critical thinking, creative thinking, problem-solving skills is something has to be encourage by educators in a way so students don't feel or think they can use technology to help them or be given the answer

    3. "You have to 'not get it' and encounter difficult concepts, things you don't agree with and argument-making. That's not a one-paper exercise... It's those messy, in-between spaces where new information and novel ideas emerge."

      I like how this quote is saying how learning is supposed to messy and chaotic with encountering difficult concepts but engaging in argument-making is crucial aspects of the learning process. With AI increasing in education, students learning to think for their selves being encourage to ask question, and being able to explain their ideas or viewpoint without any use of AI.

    4. For high schoolers, she's had success with experiential learning. For instance, her lab procedures include a series of steps students must fulfill, with note-taking throughout

      Ausman emphasizing the importance of having experimental learning with students engaging in step by step, hand-on activities, allowing students to gain knowledge and skills and could also enhance their engagement and motivation with their education.

    5. "You don't know if they really know what they're talking about or if they just learned it five minutes ago."

      This quote from Tasha Ausman seems pretty accurate with students using AI to help them do the work or just letting it do the work for them because of how most forms give incorrect answers. This highlights the importance of depth of knowledge and expertise in learning environments. It's like student who discover this technology try to look for the easy way out of the work instead of actually doing the learning part.

    1. is a cry for help: Help me! Only you, only you can, you are unique

      Margaret Atwood is almost mocking men for there need to be special- and the hero of a situation. This links heavily to Atwoods feminist undertone for her writtings.

    2. Shall I tell you the secret and if I do, will you get me out of this bird suit?

      The siren is enticing the sailors with words of honey, to trick them to jump off the ship.

    3. Alas it is a boring song but it works every time.

      I think the two final lines give the ending that the song worked into tricking the person. The poem leads with the idea that this person is special and can hear the song, but in the end gets tricked and meets the fate of many before them.

    1. Some tools have the ability to speak to you in ways that others do not.

      An extension of this is Conway's law which may tend to force us to create work which not only reflects us, but which becomes us.

      The relationship with tools becomes a two way street between us and the tool as well as the tools which interpose all of us (humanity).

      What might this mean for our relationship with Artificial Intelligence? Will our laziness with respect to thinking turn us into non-thinkers who rely on a tool not actually able to think?

      (via me at https://old.reddit.com/r/typewriters/comments/1wjidrf/what_words_could_we_use_to_better_describe_the/pamjdv3/)

    2. In my experience, a Typewriter's soul reveals itself to the folks that are MEANT to be their custodian for a time. I find most objects that serve a creative purpose to be this way; They absolutely have voices, but only the right person(people?) can hear them. People don't find Typewriters. Typewriters find people.

      reply to Kirk Jackson aka u/NashvilleTypewriter at https://old.reddit.com/r/typewriters/comments/1wjidrf/what_words_could_we_use_to_better_describe_the/pal3wez/

      This is great. I find it to be the case as well.

      Watching other spaces like note taking applications (and methods), stationery, planners, notebooks, pencils, pens, fountain pens, etc. it repeats itself over and over. Some will really love a particular object which seems to work for them while others don't. Fora are filled with people asking, what do you like? how do you use it? when instead they ought to be attempting to figure out what they like and how they would use it.

      Some turn their love of a particular thing into a religion (Apple vs. IBM comes to mind) which also tends to make others doubt their own choices and what might work best for them. Instead of experimenting around a bit to see what works for them, they take the supposed "magic" propounded by others and wrongly try to make it work for themselves. This is one of the primary reasons I tell potential new typewriter stewards to visit shops or type-ins so that they can put their hands on a variety of machines to see which "speaks" or works best for them and their needs. There are so many people limping along out there on dreadfully maintained machines because they haven't tried others (or even cleaned, oiled, and well-adjusted ones) and don't know what they're missing.

      I was reading/listening to a series by APM recently called Sold a Story about how some academics and scientists created a "new method" for teaching reading and sold it as a products to school systems all over the country. While it managed to work for a terrifically small population, it was broadly wrong for the majority of people. Decades of harm was done to children and the educational space because everyone went with what these experts said (and which may have seemed logical) rather than doing some work, trusting testing and results, or continuing to experiment with a variety of strategies. Similarly, while computers and writing software may work for many, some of the older tried-and-true methods out there using tools like pencils, pens, loose paper, index cards, notebooks, notepads, and typewriters can provide dramatically different affordances in ways of working with them which are actually better for some of the things one might wish to accomplish with them. Some tools have the ability to speak to you in ways that others do not.

      (P.S. Thanks for your observation as this may become the kernel of the introduction to the book I'm slowly working on.)

    1. Es ist also nicht zu erkennen, dass die deutschen Hochschulen oder die Wissenschafts- und Förderpolitik aus den hier beschriebenen Entwicklungen ausreichende Konsequenzen ziehen. Etwa wie in den USA, wo strategische Kooperationen zwischen Hochschulen und exzellenten forschenden Unternehmen, Start-ups oder Thinktanks eine zunehmend zentrale Rolle spielen und die National Science Foundation vor einigen Jahren einen bedeutsamen Strategiewechsel in ihrer Förderpolitik vollzogen hat.

      Hier ernsthaft die USA als Referentland und den Zeitraum "vor einigen Jahren" zu nehmen, halte ich für sehr problematisch.

    2. Die Zugänge zu öffentlichen Daten und der Datenaustausch insgesamt für Forschungsprozesse kommen nicht wesentlich voran.

      Ist dies von Studien in irgendeiner Weise untermauert?

    3. An vielen Hochschulen wird zwar mit Open- Science-Ansätzen experimentiert. Unterschiedliche Öffnungsprozesse in der Wissenschaft unter den Stichworten, Open Access, Open Data, Open Educational Resources, aber auch neue Ansätze wie Citizen Science können Treiber von komplexen und offeneren Innovationsökosystemen sein, wo unterschiedliche Stakeholder ihre Rollen, Ziele und Aufgaben neu ausloten.

      Hier wäre es interessant, wie es denn der Stifterverband mit den Open Science Ansätzen so hält. Offene Daten vermisse ich hier zum Teil.

    4. Multidisziplinär praktisch gebildete Akademiker treffen auf akademisch gebildete Praktikerinnen

      Wir haben ja z.B. auch die HAWs. Sind diese hier mitgedacht?

    5. Es zeigt sich: Wissen entsteht längst nicht mehr allein in akademischen, disziplinär strukturierten Institutionen. Wissen entsteht in Unternehmen, in der Zivilgesellschaft, in Start-ups, Thinktanks oder in Multi-Stakeholder-Räumen.

      Das ist aus der Perspektive der Research Policy Forschung ein ziemlich alter Hut. Etzkowitz und Leydesdorff haben um die Jahrtausendwende ihr Triple-Helix-Modell publiziert: https://doi.org/10.1016/S0048-7333(99)00055-4

    6. Forschungsleistungen von privaten Unternehmen, die dahinterstecken

      Ohne die Forschungsleistung zu schmälern, müsste man doch hier eventuell mal hinterfragen, ob hier die fehlende Transparenz und Nachvollziehbarkeit in privater Hand nicht auch einige Gefahren birgt.

    7. sich oft nicht auf gesellschaftliche Problemstellungen

      Auch diese sehr verkürzte Darstellung wird der Komplexität der wissenschaftlichen Forschung in keiner Weise gerecht und impliziert eine Zuspitzung, die nicht notwendig ist.

    8. dass sich Lehrinhalte und -formate nicht an den tatsächlichen Bedürfnissen der Gesellschaft orientieren

      Das erscheint mir eine sehr verkürzte Darstellung der Rollen von Lehrinhalten und Lehrformaten. Zudem ist das wissenschaftliche Subsystem auch ein Teil der Gesellschaft und trägt auch zur Erforschung dieser Bedürfnisse bei.

    1. Your peers offer different insights and opinions. Their perspective matters because everyone thinks differently and you may be able to see the same writing thought about in a different way.

    1. I believe it is important to have credibility for your sources because taking information from an invalid source ruins your credibility as either an author or a speaker. It is important not to spread misinformation especially as an educator in said topics because some people may take it and run with it.

    1. They are important to me because of the discrimination that may come with them. I think the same issues should be important to other people as well.

    2. 1. What are some personal experiences you have that relate to larger social issues?

      definitely issues pertaining to my ethnicity, my gender, and beauty standards.

    1. NoteLearn: Understanding Uncertainty & Distributions

      I think this is too much content for a fold. Turn it into a tooltip as well as a link to a different page that has this fleshed out in detail - maybe that page already exists and it's just a matter of linking it

    2. NoteNew to this model? Start with the Simplest Model → — a shorter version focusing on some key levers with line-of-sight explanations. You can carry your settings over to this Advanced Model when you’re ready.

      This one is short. It could probably just be a tooltip

    3. NoteModel version and September 17 update This page runs the current model (engine 2026-09-17.1). See the September 2026 review and correction log. For comparisons with beliefs recorded at the May 8 workshop, use the hosted workshop-era model or its tagged source. The archived model is preserved as it was deployed and includes errors corrected here. Two supplied research critiques prompted optional median-preserving priors, explicit growth-factor price ranges, and structural comparisons for media use, GF dosage, and maturity dependence. Baseline numerical assumptions are retained. New controls include provenance tooltips and links to the discussion responses, justification, and remaining questions. These additions are AI-implemented scenario tests, pending expert review. NoteNew to this model? Start with the Simplest Model → — a shorter version focusing on some key levers with line-of-sight explanations. You can carry your settings over to this Advanced Model when you’re ready. ►Audio overviews(AI-generated · note)How Cultured Meat is Made ~11 minDownload MP3View/annotate scriptThe Cost Model Explained ~10 minDownload MP3View/annotate script WarningImportant: Model Status & Limitations This model is largely AI-generated and, as of September 2026, has not been independently validated. It is provided to fix ideas, make assumptions inspectable, and support discussion and comparison. Do not treat the outputs as authoritative cost estimates. Several limitations are decision-relevant, not cosmetic: the single latent-maturity factor is ad hoc; source dollars are not yet normalized to one real-dollar year; wet-biomass water content is not standardized; and the model does not separate the probability of reaching commercial scale from cost conditional on reaching it. The sensitivity chart is a dollar-swing ranking, not a variance decomposition. We are addressing these incrementally. Read the full critique and our responses → Limits/Critique We especially welcome expert review of: growth factor quantities and prices, bioreactor CAPEX ranges, and the maturity correlation structure — see below and the Sources section. NoteFrom workshop evidence to model revision The May 8, 2026 workshop is complete. Its outputs now form a linked evidence-to-model workflow: the summary records the technical arguments, the beliefs analysis shows the forecast spread, the demand bridge connects factory-gate cost to an adoption model, and the proposed modeling hack turns the remaining disagreements into testable model changes. Workshop summary → · Public beliefs form → · Cost → demand bridge → · Modeling hack proposal → The named beliefs-analysis dashboard remains an internal review artifact and is intentionally not linked from this public site; a redacted public synthesis should be produced separately. NoteWe Want Your Feedback For substantive or longer-form discussion — please post on 💬 GitHub Discussions. That’s where the conversation can get involved, where others can reply and build on each other, and where everything stays threaded and organized. See the 📖 Discussion Map for where to post what, or jump to a hub: 🧠 Substantive hub — bio / econ / stats / engineering / welfare (the main event) 🎯 PQ framing · 💬 Workshop logistics · 🖥️ Platform & UX For quick inline notes on specific text or a parameter, use Hypothesis (click the < tab on the right edge). For anything beyond a brief highlight, prefer GitHub Discussions so the conversation stays organized and discoverable. 🎧 Listen: Technical Review (22 min MP3) — Audio walkthrough of model architecture and areas for review Other ways to reach us: Open a GitHub issue · Email contact@unjournal.org function toggleHypothesis() { const btn = document.getElementById('toggle-hypothesis') || document.getElementById('vc-hyp'); // Track state via body class (avoids checking Hypothesis's internal display/transform state) const hidden = document.body.classList.contains('hyp-force-hidden'); if (hidden) { document.body.classList.remove('hyp-force-hidden'); if (btn) btn.textContent = '◉ Annotations'; } else { document.body.classList.add('hyp-force-hidden'); if (btn) btn.textContent = '▷ Annotations'; } } function toggleFullWidth() { const body = document.body; const btn = document.getElementById('toggle-fullwidth') || document.getElementById('vc-wide'); // Quarto full-page layout uses column classes and sidebar const contentSelectors = [ 'main.content', 'main', '.page-columns', '#quarto-content', '.column-page', '.column-body', '.column-body-outset', '.panel-fill', '.panel-sidebar', '#quarto-sidebar', '.page-layout-full .content' ]; if (body.classList.contains('fullwidth-mode')) { body.classList.remove('fullwidth-mode'); // Remove injected style const injected = document.getElementById('fullwidth-style'); if (injected) injected.remove(); btn.textContent = 'Expand Content'; } else { body.classList.add('fullwidth-mode'); // Inject a style tag to override Quarto's layout constraints if (!document.getElementById('fullwidth-style')) { const style = document.createElement('style'); style.id = 'fullwidth-style'; style.textContent = ` body.fullwidth-mode #quarto-content, body.fullwidth-mode main.content, body.fullwidth-mode main, body.fullwidth-mode .page-columns, body.fullwidth-mode .column-body, body.fullwidth-mode .column-page { max-width: 100% !important; width: 100% !important; padding-left: 1rem !important; padding-right: 1rem !important; } body.fullwidth-mode #quarto-sidebar, body.fullwidth-mode #quarto-margin-sidebar, body.fullwidth-mode .sidebar { display: none !important; } body.fullwidth-mode .page-columns { grid-template-columns: 1fr !important; } `; document.head.appendChild(style); } btn.textContent = 'Normal Width'; // Also hide hypothesis when going fullwidth hideHypothesis(); } } function toggleParams() { const btn = document.getElementById('toggle-params'); const vcBtn = document.getElementById('vc-params'); const sidebar = document.querySelector('.panel-sidebar'); const fill = document.querySelector('.panel-fill'); if (!sidebar) return; const isHidden = window.getComputedStyle(sidebar).display === 'none'; if (isHidden) { sidebar.classList.remove('params-hidden'); sidebar.style.removeProperty('display'); if (fill) { fill.style.removeProperty('grid-column'); fill.style.removeProperty('width'); } if (btn) btn.textContent = '◀ Hide Parameters (expand charts)'; if (vcBtn) { vcBtn.textContent = '◀ Parameters'; vcBtn.style.background = '#e8f4e8'; vcBtn.style.borderColor = '#5a7a5a'; } } else { sidebar.classList.add('params-hidden'); if (fill) fill.style.gridColumn = '1 / -1'; if (btn) btn.textContent = '▶ Show Parameters'; if (vcBtn) { vcBtn.textContent = '▶ Parameters'; vcBtn.style.background = '#f8f9fa'; vcBtn.style.borderColor = '#ccc'; } } } // Wide sidebar: turn the parameters panel into a fixed-position drawer overlay. // Using position:fixed avoids all CSS grid conflicts — the sidebar lifts out of // the document flow and floats on top. A dimmed backdrop lets users click outside // to close. The OJS cells inside still work because the DOM nodes are the same. function toggleWideSidebar() { const body = document.body; const sidebar = document.querySelector('.panel-sidebar'); const backdrop = document.getElementById('params-backdrop'); const btnV = document.getElementById('vc-wide-params'); const btnI = document.getElementById('toggle-wide-params'); if (body.classList.contains('sidebar-wide')) { // Close drawer body.classList.remove('sidebar-wide'); const s = document.getElementById('sidebar-wide-style'); if (s) s.remove(); if (backdrop) backdrop.style.display = 'none'; if (btnV) { btnV.textContent = '⟺ Wide params'; btnV.style.background = '#f8f9fa'; btnV.style.borderColor = '#ccc'; } if (btnI) btnI.textContent = '⟺ Wide view'; } else { // Open drawer: make sidebar a fixed overlay panel body.classList.add('sidebar-wide'); if (!document.getElementById('sidebar-wide-style')) { const s = document.createElement('style'); s.id = 'sidebar-wide-style'; s.textContent = ` body.sidebar-wide .panel-sidebar { position: fixed !important; top: var(--quarto-navbar-height, 62px) !important; left: 0 !important; width: min(62vw, 820px) !important; max-width: 92vw !important; height: calc(100vh - var(--quarto-navbar-height, 62px)) !important; max-height: calc(100vh - var(--quarto-navbar-height, 62px)) !important; overflow-y: auto !important; overflow-x: hidden !important; z-index: 6000 !important; background: white !important; box-shadow: 8px 0 32px rgba(0,0,0,0.22) !important; padding: 0.5rem 2rem 5rem 1.5rem !important; border-right: 3px solid #3498db !important; scrollbar-width: thin !important; } `; document.head.appendChild(s); } if (backdrop) backdrop.style.display = 'block'; if (btnV) { btnV.textContent = '↘ Narrow params'; btnV.style.background = '#e8f0fa'; btnV.style.borderColor = '#3498db'; } if (btnI) btnI.textContent = '↘ Narrow view'; // Scroll drawer to top when opening if (sidebar) sidebar.scrollTop = 0; } } // Re-initialise Tippy tooltips for abbr[title] and span[title] elements added by OJS. // OJS renders after Quarto's DOMContentLoaded Tippy pass, so elements inside OJS // html`` templates are missed on first pass. Span elements (used for ⓘ inline notes // in the main content area) are also included — native browser title tooltips clip // long text and are unreliable across browsers. function initOjsTooltips() { if (typeof tippy === 'undefined') return; document.querySelectorAll( '.panel-sidebar abbr[title], .panel-fill abbr[title], .panel-sidebar span[title], .panel-fill span[title]' ).forEach(function(el) { const t = el.getAttribute('title'); if (!el._tippy && t) { el.removeAttribute('title'); // prevent duplicate native browser tooltip tippy(el, { content: t, placement: 'bottom', maxWidth: 500, allowHTML: false }); } }); } setTimeout(initOjsTooltips, 2500); // first pass after OJS settles // Re-run whenever sidebar OR main content changes (OJS re-renders on slider change) document.addEventListener('DOMContentLoaded', function() { var obs = new MutationObserver(function() { initOjsTooltips(); }); var sidebar = document.querySelector('.panel-sidebar'); var fill = document.querySelector('.panel-fill'); if (sidebar) obs.observe(sidebar, { childList: true, subtree: true }); if (fill) obs.observe(fill, { childList: true, subtree: true }); }); // Reset all parameters: clear URL state and reload (most reliable approach, // since OJS viewof inputs can't be reset reliably from plain JS) function resetAllDefaults() { window.location.href = window.location.pathname + window.location.hash; } var _expandAllActive = false; var _expandAllObserver = null; function collapseAllDetails() { _expandAllActive = false; if (_expandAllObserver) { _expandAllObserver.disconnect(); _expandAllObserver = null; } document.querySelectorAll('details[open]').forEach(function(d) { d.removeAttribute('open'); }); } function expandAllDetails() { _expandAllActive = true; document.querySelectorAll('details').forEach(function(d) { d.setAttribute('open', ''); }); // OJS re-renders reactive cells after every slider change, replacing <details> elements // with fresh closed ones. The MutationObserver re-applies 'open' to any new ones. if (!_expandAllObserver) { _expandAllObserver = new MutationObserver(function(mutations) { if (!_expandAllActive) return; mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType !== 1) return; if (node.tagName === 'DETAILS') node.setAttribute('open', ''); if (node.querySelectorAll) node.querySelectorAll('details').forEach(function(d) { d.setAttribute('open', ''); }); }); }); }); _expandAllObserver.observe(document.body, { childList: true, subtree: true }); } } function toggleViewControls() { const content = document.getElementById('view-controls-content'); const icon = document.getElementById('vc-minimize'); if (!content) return; const isHidden = content.style.display === 'none'; content.style.display = isHidden ? 'flex' : 'none'; if (icon) icon.textContent = isHidden ? '−' : '≡'; } function toggleToc() { const btn = document.getElementById('toggle-toc') || document.getElementById('vc-toc'); // Quarto TOC can be in several locations const selectors = [ '#quarto-margin-sidebar', '#TOC', '.sidebar.toc-left', 'nav.toc', '#quarto-sidebar' ]; let toc = null; for (const sel of selectors) { toc = document.querySelector(sel); if (toc) break; } if (!toc) { btn.textContent = 'TOC not found'; return; } if (toc.style.display === 'none') { toc.style.display = ''; btn.textContent = 'Hide Table of Contents'; } else { toc.style.display = 'none'; btn.textContent = 'Show Table of Contents'; } } function hideHypothesis() { document.body.classList.add('hyp-force-hidden'); const btn = document.getElementById('toggle-hypothesis') || document.getElementById('vc-hyp'); if (btn) btn.textContent = '▷ Annotations'; } View ≡ ◀ Parameters ⟺ Wide params ▷ Contents ▷ Annotations ↔ Expand ▲ Collapse all ▼ Expand all /* ── Fullwidth mode: hide parameter sidebar, let charts fill the page ── */ .fullwidth-mode .page-columns { grid-template-columns: 1fr !important; max-width: 100% !important; width: 100% !important; } .fullwidth-mode #quarto-content, .fullwidth-mode main.content, .fullwidth-mode main, .fullwidth-mode .column-page, .fullwidth-mode .column-body, .fullwidth-mode .panel-fill { max-width: 100% !important; width: 100% !important; padding-left: 1rem !important; padding-right: 1rem !important; } /* Hide parameter sidebar and TOC in fullwidth mode */ .fullwidth-mode .panel-sidebar, .fullwidth-mode #quarto-sidebar, .fullwidth-mode #quarto-margin-sidebar, .fullwidth-mode .sidebar { display: none !important; } /* Hide Hypothesis in fullwidth mode, and when manually toggled off */ .fullwidth-mode .annotator-frame, .fullwidth-mode .hypothesis-sidebar, .fullwidth-mode hypothesis-sidebar, .hyp-force-hidden .annotator-frame, .hyp-force-hidden .hypothesis-sidebar, .hyp-force-hidden hypothesis-sidebar, .hyp-force-hidden iframe[src*="hypothes.is"] { display: none !important; visibility: hidden !important; pointer-events: none !important; } /* Sidebar overflow fix — offset by Quarto navbar so top buttons aren't hidden */ .panel-sidebar { overflow-y: auto !important; overflow-x: hidden !important; position: sticky !important; top: var(--quarto-navbar-height, 62px) !important; max-height: calc(100vh - var(--quarto-navbar-height, 62px)) !important; } .panel-sidebar details[open] { max-width: 100%; overflow-wrap: break-word; } /* When params sidebar is hidden, let charts take full width */ .params-hidden { display: none !important; } NoteNew to Cultured Meat? Read our deep dive: How Cultured Chicken is Made — a detailed guide covering cell banking, bioreactors, media composition, growth factors, and why each step affects costs. Quick summary: Cultured chicken is produced by growing avian muscle cells in bioreactors. The main cost drivers are media (amino acids, nutrients), growth factors (signaling proteins), bioreactors (capital equipment), and operating costs. For a side-by-side comparison of how published TEAs differ in their assumptions and estimates, see our TEA Comparison page. This model stops at a factory-gate cost; for what a given cost implies for consumer adoption and market share, see our Cost → Demand bridge, which connects to Pablo AMC’s demand-side model. CELL BANK → SEED TRAIN → PRODUCTION → HARVEST → PRODUCT [O] [OOO] [OOOOOOO] [===] [≡≡≡]

      So many folds at the top. Better than having them unfolded but I feel like there must be a better way of displaying this, perhaps with some horizontal boxes, perhaps some of these should go to external links, etc

    1. Research is more than just finding answers to a question. You can find answers to something that neither you nor anyone else around you has thought about.

    1. 'You gave me hyacinths first a year ago; 'They called me the hyacinth girl.' —Yet when we came back, late, from the hyacinth garden,

      The Lempriere document tells the story of hyacinthus and his relationship with apollo and how the hyacinth flower came to be. In that document we see that Apollo uses the hyacinth is used to immortalize hyacinthus due to how much he cared for him. Similarly Elliot says in a later line the hyacinth girl is neither living nor dead just as Hyacinthus was neither living nor dead because of Apollo's caring and loving act.

    2. Oed’ und leer das Meer.

      Lines 30-59 develop two parallel themes: Lance, and the Goblet or Cup as male and female "sex symbols of immemorial antiquity," and Tarot as a system of allotting mortals divine fortunes. Preceding page 8 in Weston's account of semiotics in the Holy Grail legend, descriptions of masculinity and femininity are tied closely to virility and fertility (respectively). Quoted, Weston states that "[as] symbols of immemorial antiquity and world-wide diffusion, the Lance, or Spear, representing the Male, the Cup, or Vase, the Female, reproductive." Weston further states that within the "Grail romances we possess...[is] the fragmentary record of the secret ritual of a Fertility cult."

      In these statements Weston justifies analysis by asserting that it is backed by inter-mythological theory; Weston's definitions (of symbol) maintain continuity across various socio-cultural settings, specifically Celtic and Greek. The Cauldron of the Dagda Coire Arsic, known as a "legendary vessel of infinite bound & hospitality in Irish mythology" and the Greek Horn of Plenty.

    3. Is known to be the wisest woman in Europe, With a wicked pack of cards.

      By calling Madame Sosostris “the wisest woman in Europe” who consults “a wicked pack of cards,” Eliot essentially collapses two contemporary portraits of fortune-telling into one ironized figure. Huxley’s Crome Yellow supplies the name and the basic joke: Mr. Scogan, a man dressed as the elderly “Sesostris, the Sorceress of Ecbatana,” sits in a fairground booth and dispenses darkly comic prophecies for sixpence. Mina Loy’s “At the Door of the House” supplies the atmosphere of commercialised female longing—the card-teller’s rapid catalogue of passion, deception, the Devil, and “intentions little honorable,” ending with women still waiting for “the little love-tale / That never came true.” Eliot fuses both into Sosostris, then places her immediately after the Wagnerian fragments from Tristan und Isolde and the emptied hyacinth-garden vision (itself shadowed by Lemprière’s myth of the beautiful youth killed by the discus and transformed into a flower). The suggestion appears to be that the older, high registers of doomed desire and mythic intensity have been displaced by a modern “wisdom” that is itself a performance: a slightly fraudulent, slightly seedy oracle whose cards still carry traces of older symbols, yet now serve mainly to characterize a culture that can name its own sterility but can no longer believe in genuine revelation.

    4. Flowed up the hill

      The paradox reflected by this statement is connected intimately to a large amount of source material. The the human body is rendered as an amorphous shape, almost liquid, able to flow in the manner of water. Antithetically, the nature of the human river is directed against the compulsion of gravity, carrying upwards and cresting the hill rather than falling into compliance and rolling down its slope. In order to effectively attach to the slope, the human body would necessarily be able to establish some form of traction, of adherence that would anchor it and oppose gravitational motion. Bandelaine provides an explanation of this in the form of sap. The sap exists as a "flowing" lively entity that travels the veins of the human body, intermingled anatomically, a stark contrast to the dullness, the predictable patterns of an urban environment. Here, the same is true - the sap takes on a vivid life that resists the predictable motion of the slope, enabling the body to oppose constraints that challenge it. Additionally, Dante makes reference to the wicked souls that fling themselves from the shore, he compares them to autumn leaves falling away during seasonal transition. In this manner, the ejection of the damned into the belly of Hell contrasts vibrantly with common connotations of naturalistic deposition. Shedding of leaves demands lamentation, a mournful tone that encapsulates the loss of a thing that was living, was functional, was fertile. The passage of damned souls resides in opposition, evincing a position of security and justice - sinners are rightfully contained in Hell and represent a damaged vestige of humanity rather than a symbol of fertility. The sap's properties of viscosity and adherence harbor a similar notion. It is a remnant, a liquid that contains the lifeblood of nature, as is reflected by the leaves. However, it is employed in defiance of its customs - to aid the ascendance of humanity against nature's common laws.

    5. The Chair she sat in, like a burnished throne,

      In reference to Mina Loy’s “At the Door of the House,” the beginning of “A Game of Chess” presents a woman in a seemingly powerful position. “The Chair she sat in, like a burnished throne” makes Eliot’s woman appear wealthy and queenlike, but the word “like” suggests that this power is only an appearance. Despite possessing everything that should be desirable, she becomes increasingly anxious and insecure. Similarly, Loy’s “thousand women’s eyes” are “riveted to the unrealisable” as they look to a fortune-teller for the love and futures they desire but cannot genuinely attain. In both poems, women appear surrounded by fantasies of fulfillment, yet remain uncertain and dependent upon absent or idealized men. This also parallels Electra waiting at the doorway for Orestes: each woman waits for a male figure at the door (Orestes, the “Man of the Heart,” or, later in Eliot’s poem, Albert) to arrive and change her situation. Therefore, the doorway and the throne both represent forms of suspended power: the women seem important or hopeful, but their lives remain controlled by expectations that may never become real.

    1. Yes, uterine or gynecologicals massage was exactly what you think it was.

      Normally when I hear things about Hysteria I would think about them performing a Lobotomy...Not this.

    1. It is important to realize that the efficiency of givenfields for optimal search strategies is relative from do-main to domain (the value of searching document

      N'est ce pas un frein pourr retrouver l'information dans le sens oû le titre du document/livre ne reflète pas toujours le contenu exact de l'idée developpée par l'auteur?

    2. Museology or museum studies is like archival science anindependently organized field. Museums have―like ar-chives and libraries―developed systems for organizingtheir objects and the knowledge they transmit (cf., Neil-son 2010). Like archives, museums normally collectunique objects.

      La muséologie est-elle donc un mélange à la fois d"un système de connaissances organisées basé à la fois sur les principes de gestion archivistique de part le caractère unique de chaque objet, mais également sur la classification bibliothécaire à cause de la valeur scientifique que représente la documentation de ces mêmes objets?

    3. The most importantspecific principle of organization for this domain is theprinciple of provenance

      On peut dire aussi que les documents, en plus de respecter la provenance dans leur classement sont ensuite classés en respectant un ordre de production en fonction de l'évolution de l'activité pour laquelle ils ont été créés.

    4. It consists of a clas-sification system with approximately 28,000 definitions,an alphabetical index, and a bibliography with 40,000 ref-erences to books and articles of iconographical and cul-tural historical interest

      ICONCLASS serait donc un système hybride d'organisatioon de connaissances?

    1. achine Learning or Time-Series Foundation Models? Accuracy and Modelling Effort in Building Electricity Forecastin

      @All i have another 2 title options: 1. Machine Learning and Time-Series Foundation Models for Day-Ahead Electricity Forecasting in a University Building 2. Beyond Forecast Accuracy: Machine Learning and Time-Series Foundation Models Across University Operating Regimes

    1. y obesity register size

      The spread of prescribing rate narrows more than I would have expected. Maybe partly because there are fewer ICB with a large obesity register size?

    1. Frisch weht der Wind Der Heimat zu Mein Irisch Kind,

      The use of German is so interesting because the Germans are partly responsible for the destruction of WW1 and they were the enemies of the UK. Their being responsible for the wasteland makes sense in context too. The translation says" To my homeland—my Irish child, where do you dwell?" is interesting as it makes it seem like the Germans are beckoning the Irish to come to their homeland yo die.

    1. Interesting modeling exercise. The attenuated weight loss in T2D is real and clinically important. However, framing the explanation primarily in terms of changes in energy expenditure and the caloric equivalent of urinary glucose excretion keeps the analysis inside the same energy-balance framework whose limitations have been repeatedly noted (e.g., 1,2,3).

      Urinary glucose excretion is first and foremost a mass outflow (grams of glucose leaving the system). Treating it principally as an “energy sink” converts a direct mass loss into an indirect energetic term and then uses that term to explain a mass (weight) outcome. A mass-balance perspective would track the grams of glucose excreted alongside other mass flows without the intermediate conversion, thereby avoiding the additional assumptions required by energy-density estimates.

      The observation that background SGLT2i therapy further attenuates weight loss is consistent with a larger baseline mass outflow that diminishes as glycemia improves. This can be stated directly in mass units. Whether the same phenomenon is best understood as a change in energy gap or as a change in net mass balance remains an open and consequential question.

      References 1. Manninen AH. Mass Balance over Energy Balance: Why Direct Mass Accounting Offers a More Precise and Mechanistically Faithful Framework for Human Body Weight Regulation. Preprints 2026, 2026040690. https://doi.org/10.20944/preprints202604.0690.v4 2. Manninen AH. Implementing the Mass Balance Model (MBM) in Human Nutrition and Obesity Research: Protocols, Analytical Frameworks, and Translational Applications. Preprints 2026, 2026041641. https://doi.org/10.20944/preprints202604.1641.v2 3. Arencibia-Albite F. A numerical and analytical evaluation of the consistency of the energy balance model identifies limitations and systematic relationships between mass intake and body weight dynamics. Front Nutr. 2026 Jul 30;13:1777554. doi: 10.3389/fnut.2026.1777554. PMID: 42597285; PMCID: PMC13468908.

    1. Study the text until you thoroughly understand it

      Assessing arguments take time no matter if it’s long or short because there’s lots of steps into determining what your looking for there also the possibility of not finding what your looking for making you dig deeper into the statement so there’s some steps you can follow into finding what it is that your going to need for this

    2. willing to re-examine background beliefs that we have doubts about—and to be open to reasonable doubts when they arise.

      Our mind makes many of our decisions, it proccesses our beliefs, our doubts. We are quick to believe and quick to judge but we need to consider the facts as well sometimes we are wrong and we need to be willing to work with it and grow from it the different experiences but we also have to be open minded to the different possibilities that come with new beliefs .

    3. often perceive exactly what we expect to perceive—regardless of whether there’s anything there to detect.

      we tend to believe what we would like to think without any of the facts we like to listen to people of power the ones who influence us to do things without always thinking them through. We see results so we expect those results which is not always the case it might not always work but we want to believe what we see not what happens after .

    4. not that we should mistrust all judgment about probabilities, but that we shouldn’t rely solely on our intuitive sense in evaluating them

      We all have a right to out opinion and our beliefs we choose to believe what we want wether that’s with or without evidence but that doesn’t mean you should believe everything we are quick to believe everything we see on the internet and while some could be true they are not experts that really know what the product does or what it could do to us it could be a harm without us knowing it and just believing whatever the internet tells us which is why we should always listen to the person who actually knows what the product is not someone who is promoting it

    5. The point of devising an argument is to try to show that a statement, or claim, is worthy of acceptance.

      To accept an argument there’s many different factors to consider before believing it as you need a logical reason to believe it and evidence to support it as you go along wether to believe or not believe it

    6. Arguments are often accompanied by words or phrases that identify them as deductive or inductive.

      Arguments have lots of different things that make them an argument we have to evaluate all parts to determine many different parts of the “statement” weather it be deductive, in deductive, true or false, reliable or unreliable, weather we should believe it or not we need all these things to be accounted for

  2. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. eLife Assessment

      This Review Article provides a comprehensive overview of whole-brain activity changes induced by brain stimulation and effectively summarizes the current state of the field. However, the integrative framework spanning spatial and mechanistic scales, which is presented in the discussion, should be introduced earlier to guide the reader. A more cohesive conceptual framework throughout the manuscript would improve the synthesis of the literature and enhance accessibility.

    2. Reviewer #1 (Public review):

      Summary:

      This paper is a comprehensive review of perturbation studies, and the state-dependence of the brain's response to perturbation at the circuit, mesoscale, and macroscale level.

      Strengths:

      The strengths of the paper are the thorough description of many perturbation studies at different levels of organization, and the integration of both experimental and modeling studies. The review clearly communicates the need to consider 1) brain or local-population state, and 2) multiple levels of organization, in order to understand perturbation responses. Another major strength is the ability for the reader to reproduce figures using the EBRAINS platform.

      Weaknesses:

      The major weakness is that the review does not include a significant integration across scales, and as a result reads like three separate (though comprehensive) reviews. Currently, the only integration across the scales is in a brief conclusion paragraph. I would recommend adding an additional section, in which the overarching picture is discussed. (i.e. a unifying view of state dependence, and what is learned by considering across scales), and more prefacing in the introduction of the overarching message and framework to the review.

    1. Mistakes or new information can be updated without the hassle of printing and publishing, allowing more current events to be covered and contributed to.

      I don't like that this doesn't cover the fact that people can use Wikipedia to spread misinformation. Just look at Twitter/X and Reddit, as they are constant hotspots for spreading "Facts" and "Trivia" that aren't even remotely true.

    2. Similarly, genAI tools can also be a useful place to start your research. They can quickly generate background information when given a prompt.

      I can't agree with this. I have learned that AI can lie, and as such, it should be a given to take whatever AI says with a grain of salt. Best to stick with academic databases.

    1. A good place to find this information would be the Steely Library database.

      For me, the Steely Library database is the ONLY place to start. Academic databases are the quickest and easiest way for students to access information that can always be trusted, especially in this age. I've always used the database for my papers, and I'm not stopping now.

    1. slides

      rever slides da profa com as alterações sugeridas: estes tem erros

      Ex: Resolução 195 não trata de prescrição de med. - é a 801/2026

      No tratamento candidíase: incluir clotrimazol

      A decisão depende do risco de "perder a pessoa" ("excluir") que paciente está exposto

    2. duas abordagens

      não foi possível abrir as duas rotas acima - inabilitadas não foi possível colar aqui o print da imagem das duas rotas - só dá prá ver parte superior das 2 cabeças, não aprece nem os rostos

    1. eLife Assessment

      This study presents an important finding regarding the role of oxytocin neurons in thermogenesis and behavioral thermoregulation. The use of numerous converging methods, including behavior, fiber photometry, optogenetics, thermal recordings, metabolic analyses, and more, produces a multi-dimensional dataset delivering findings that provide solid support for the conclusions. The conclusions could be further strengthen by more extensive analyses of behavior and determining whether it is the release of oxytocin (rather than co-release of glutamate) from the PVN that is critical for the transition between behavioral states, nevertheless, the manuscript had many strengths, the findings are novel, and this work opens new doors for understanding the role of the PVT in thermoregulation. This work will be of strong interest to the thermoregulation, social behavior, and oxytocin signaling communities.

    2. Reviewer #1 (Public review):

      Summary:

      The authors identify and investigate a specific population of PVNOT neurons (oxytocin neurons of the paraventricular hypothalamus) that seem to be involved in both behavioral and autonomic thermoregulation. These cells are activated by social thermoregulatory behaviors, but can influence thermoregulation in both social and social contexts, specifically during transitions and when mice are at low core body temperature (Tb).

      Comments on revised version.

      The authors have addressed my concerns with clear and reasonable explanations and altered the text accordingly. This has improved the paper, but it still feels in some parts like a patchwork of nice work and discoveries stitched together. Further changes to format, analysis, and some experimental work could hugely improve the manuscript. I see that will surely come from future work, and this is the authors' choice.

      Regarding the lack of behavioral analysis, I think it's fair for them to keep it for future studies.

      I am happy to see they take and expand the opto inhibition suggestion. Again, that experiment would be nice for this paper, but not crucial.

      Regarding discussing Raam et al 2026. It is good that they detail the practical decision of using females. What I meant was that, given that both papers study calcium dynamics around the time when mice engage in social thermoregulatory behaviour, they could have speculated on potential dmPFC-PVN functional connectivity, for example. Or the fact that Raam found that females showed fewer huddling behaviour than males at 5{degree sign}C (however, Vandendoren tested 15{degree sign}C, not 5{degree sign}C). Discussion of these features would be welcome, but maybe all of the current scope.

      Overall, this is a very strong paper.

    3. Reviewer #2 (Public review):

      This is a very interesting study from Vandendoren and colleagues examining the role of PVN oxytocin neurons during thermoregulatory behaviors, in particular during thermoregulatory huddling. The findings are important and have implications for the thermoregulation field as well as the social/naturalistic behavior field. The findings are compelling and use a combination of state-of-the-art tools (photometry, optogenetics, automated behavior tracking, thermal imaging, and core body temperature measurement), often in combination with each other, to produce a rigorous and high-dimensional dataset.

      Comments on revised version.

      I appreciate the effort the authors have put into addressing all of my questions, and I have no remaining concerns.

    4. Reviewer #3 (Public review):

      Summary:

      This study investigates how the activity of hypothalamic paraventricular oxytocin (PVNOT) neurons relates to physiological states in female mice, with a particular focus on behavioral states and thermogenic sympathetic activity. To address this question, the authors combined automated video-based behavioral classification with calcium imaging of PVNOT neuron activity. Sympathetic thermogenesis was inferred from surface temperature changes measured by infrared thermography, and the authors have made their custom analysis scripts available. The authors report that strong, pulsatile activation of PVNOT neurons was "occasionally" observed immediately before transitions from resting to active states. This observation suggests that PVNOT neuronal activity may facilitate the transition from rest to activity. This phenomenon was observed in both pair-housed and individually housed animals. Taken together, these findings raise the possibility that the oxytocinergic system contributes to naturalistic behavior transitions even in the absence of social interactions. However, concerns regarding the selectivity of GCaMP expression in oxytocin-expressing neurons call into question the validity of the recorded PVNOT neuronal activity. The revised manuscript improves the presentation and interpretation of the data. Nevertheless, because the authors have not provided additional experiments or analyses addressing the major methodological concerns, the evidence supporting the central conclusions remains essentially unchanged.

      Strengths:

      The oxytocinergic neural system is believed to subserve a wide range of physiological functions. Elucidating these roles requires monitoring PVNOT neuronal activity under diverse behavioral contexts, as well as manipulating this activity to establish causal relationships. In this study, the authors present a technically sound experimental framework that integrates behavioral tracking in both individually and group-housed mice with the monitoring and manipulation of PVNOT neuron activity. This setup represents a valuable methodological resource for researchers investigating the physiological functions of oxytocin.

      Weaknesses:

      (1) Immunohistochemical validation of selective GCaMP expression in oxytocin-expressing neurons showed that only 24-51% of GCaMP-positive neurons expressed oxytocin. As an alternative approach, the authors argue that the similarity between calcium dynamics recorded in virgin and lactating animals supports the identity of the recorded neurons as oxytocin neurons. While this physiological comparison is interesting, it does not constitute direct evidence for cell-type specificity of GCaMP expression. The revised manuscript now acknowledges that in situ hybridization targeting oxytocin mRNA would provide a more reliable validation, but such validation has not been performed. Therefore, uncertainty regarding the identity of the recorded neurons remains, limiting confidence in the interpretation of the calcium imaging data.

      (2) Although the authors' interpretation is generally consistent with the data presented, their main conclusions rely heavily on observational findings. Moreover, optogenetic stimulation of PVNOT neurons failed to robustly recapitulate behavioral state transitions (Figs. 6D and S5B). Further interventional experiments remain necessary to rigorously test the authors' interpretation and establish a causal relationship between PVNOT activity and rest-to-active transitions. In particular, loss-of-function approaches targeting the PVNOT system, such as OXTR antagonism, inhibitory optogenetics, or cell-type-specific ablation, remain essential to determine whether perturbation of this system alters behavioral state transitions. Although the authors expanded the Discussion to acknowledge this limitation, the revised manuscript provides no additional experimental evidence addressing it.

      Comments on revised version.

      I appreciate the authors' efforts to clarify the manuscript and to discuss the limitations more explicitly. Nevertheless, because my major concerns have been addressed primarily through revised interpretation rather than new evidence, my overall assessment of the scientific support for the principal conclusions remains unchanged.

    5. Author response:

      The following is the authors’ response to the previous reviews.

      Public Reviews:

      Reviewer #1 (Public review):

      Comments on revised version.

      As discussed before, the authors employ a wide range of techniques (FOS IHC, FP for fine scale PVN OXT population dynamics, behavioural analysis, core and surface temperature tracking, physiological recordings to assess AAV specificity, optogenetic activation of PVN OXT neurons, and projection tracing) to address a clear question. The outcomes of these techniques seem to drive the same conclusion that PVN OXT neurons signal transitions from rest to arousal (behavioural and thermogenic) in a state-dependent manner:

      - FOS data identifies PVN OXT population activity following behavioural onset

      - Ca activity in these cells peaks at behavioural and thermogenic state transitions

      - Rump temperature and BAT activity increase at state transition points

      - Optogenetic stimulation of these cells recapitulates the thermogenic effects seen during physiological state transitions (in low body temperature animals) with a trending increase in physical activity

      Despite the inconclusive IHC results when validating the specificity of their AAV, the virgin female/ lactation experiment is convincing that they are specifically targeting PVN OXT neurons. The rationale for this experiment is clearer in the revised manuscript.

      Generally, in terms of the revised manuscript, the authors give strong responses to reviewer comments, either incorporating feedback, or giving clear explanations for the choices they made in the original manuscript. The revised manuscript is clearer about the question the authors aim to address, the reasons for their choice of experiments, and the limitations of the techniques used.

      We thank the reviewer for the close attention to the manuscript, the response to reviewers, and the revision, all of which have improved the manuscript.

      Criticisms:

      I appreciate and agree with the authors' point that this manuscript is more fundamental than simply social basis oxytocin neuron function. This is point is well made by their data, and in the revised text. However, I still believe more behavioural analysis would be welcome to any reader.

      They partly justify the lack of behavioural analysis in Figure 6 with the problem of "animal merging" on the SGBS images. However, in Figure 6C, they confirm that, in solo conditions, the SGBS readings are consistent with core body temperature readings. So why not stick to core body temperature, opto stimulate and analyse the social behaviour with DLC (with normal video recordings)?

      This is a good suggestion. Because we find that quiescent huddling (paired) bouts were associated with stronger body temperature regulation compared to solo quiescence and other behavioral states, and because PVNOT peak probability and frequency were higher in the paired compared to solo context, these experiments are warranted. We made the following edits to the discussion:

      “Future experiments should attempt to disentangle the effects of PVNOT light stimulation on social vs. non-social aspects of these behavioral state transitions; of particular interest would be to examine how light stimulation affects the duration and thermoregulatory control of social huddling.”

      The lactation validation still seems out of place in manuscript order. It is a very valuable validation, but it feels more like supplementary data for Figure 1. I feel the authors wanted it as a main figure because of how much work it must have been. In that case, it still makes more sense to include it in Figure 1.

      The purpose of the lactation experiment arose from the inadequacy of using histology to test whether AAV-transfected cells were oxytocin-immunoreactive. Because we observed intense oxytocin immunoreactivity in the fibres lining the ventricle, and less reactivity in the cell bodies than what we would have predicted from the Oxytocin-Cre-dependent AAV, we turned to the known physiological relationship between oxytocin-positive neurons and lactation. As such, this study is not associated with Figure 1, which demonstrates our initial, coarse-grained findings relating FOS activity in the PVN and in oxytocin-positive neurons during social thermoregulation.

      To your point, it typically does make sense to have the cellular validation “up front” as supporting or background information that enables the downstream experiments. However, what gives this data credibility as a standalone figure is the novel finding that PVNOT neurons display burst-like patterns of activity outside the context of lactation. Previous discussions with experts in the field, along with a review of the literature, unexpectedly led us to the observation that the burst-like patterns we observed during the transition from rest to wake and thermogenesis in virgin females represents a new aspect of oxytocin neuron physiology. Because we wanted to directly compare the new virgin female activity pattern (i.e., Figure 2) with the known lactation activity pattern, we decided it made the most sense to combine the validation aspect with the novel aspect into a standalone figure.

      Though their lactation experiment validates that they are targeting PVN OXT neurons, their optogenetic stimulation protocol may not be specifically inducing OXT release from these cells. PVN OXT neurons co-release glutamate but can also release glutamate independently of OXT following lower frequency tonic stimulation. OXT release from PVN neurons requires pulsatile stimulation at a higher frequency (Leithead et al., 2021; Piñol et al., 2014; Lincoln & Wakerley, 1975). In this paper, the authors use a low stimulation frequency (10Hz) and continuous pulse train (20s) to optogenetically manipulate the target PVN population which may bias the cells towards glutamate release over OXT. Therefore, though they find evidence that PVN OXT neurons are involved in driving the transition between states in their other experiments, their optogenetic stimulation may not necessarily involve OXT release/signalling. It may be valuable to separate this out to identify the signalling molecule underlying this behavioural/ thermogenic transition. This could be done by using an opto protocol that recapitulates physiological OXT release.

      The authors do however mention that isolating the specific contribution of OXT signalling compared to other co-transmitted molecules was not the aim of this study, so this is not an essential question for this manuscript.

      Thank you for this thoughtful point. We agree our optogenetic stimulation experiment should be interpreted as activation of PVNOT neurons rather than as selective evidence for oxytocin release or oxytocin signaling. PVNOT neurons can co-release glutamate (an idea we had also briefly touched upon in the Limitations and caveats section), and the stimulation pattern/frequency may influence the relative engagement of fast glutamatergic transmission versus peptide release. We agree the lactation literature, including Lincoln et al., highlights the importance of high-frequency pulsatile activity for oxytocin release, and that Piñol et al. provide evidence that PVNOT-linked glutamatergic transmission can interact with oxytocin-receptor-dependent modulation of downstream synapses–so thanks for pointing these out.

      We made revisions to support our protocol and now acknowledge this important aspect of the neuronal physiology. In Results, we now explain why we selected 10Hz: this frequency was grounded in the study by Fukushima et al. (2022), where 10Hz stimulation of PVNOT terminals in the rMR elicit thermogenic responses and 10Hz stimulation of PVNOT somata produce thermogenesis that’s dependent on oxytocin receptors in rMR.

      In the Limitations section, we now cite these three references to include broader context around stimulation frequency and differential release. We emphasize that our optogenetic data demonstrate sufficiency of PVNOT neuron activation, but do not establish whether the downstream thermogenic and behavioral effects are mediated by oxytocin, glutamate, or both. We note that resolving this issue will require future experiments using stimulation-pattern comparisons together with receptor-targeted pharmacology or genetic loss-of-function approaches.

      References

      Leithead, A. B., Tasker, J. G., & Harony-Nicolas, H. (2021). The interplay between glutamatergic circuits and oxytocin neurons in the hypothalamus and its relevance to neurodevelopmental disorders. Journal of neuroendocrinology, 33(12), e13061. https://doi.org/10.1111/jne.13061

      Lincoln, D. W., & Wakerley, J. B. (1975). Factors governing the periodic activation of supraoptic and paraventricular neurosecretory cells during suckling in the rat. The Journal of physiology, 250(2), 443-461. https://doi.org/10.1113/jphysiol.1975.sp011064

      Piñol, R. A., Jameson, H., Popratiloff, A., Lee, N. H., & Mendelowitz, D. (2014). Visualization of oxytocin release that mediates paired pulse facilitation in hypothalamic pathways to brainstem autonomic neurons. PloS one, 9(11), e112138. https://doi.org/10.1371/journal.pone.0112138

      A loss of function experiment to test for sufficiency would be a nice addition to further confirm their claims, but the authors mention that there were technical limitations to their attempts at inhibiting PVN OXT neurons. I appreciate the authors declaring that the DREADDs attempt suffered from unfortunate confounds. But for optogenetic attempts, I don't think they need a closed-loop system to get some useful results. They still can shine the light at "random" moments (that will correspond to random body temperatures) and then separate the data per body temperature.

      We thank the reviewer for this constructive suggestion. Such an experiment would strengthen our claims and complement the optogenetic activation (Fig. 6). Reviewer 3 brought up a similar concern.

      Building directly on the reviewer’s proposal, we now describe a loss-of-function experiment as an important next step. Optogenetic inhibition of PVNOT neurons can be delivered at pseudo-random times across light and rest phase. Because animals spend extended periods at rest during this phase, a substantial fraction will fall within established rest bouts, which can then be analyzed and stratified by body temperature, as the reviewer notes. The prediction is that silencing PVNOT neurons during rest should prolong the average duration of rest bouts and delay the onset of activity and thermogenesis, relative to matched unstimulated bouts.This provides a direct test of whether PVNOT activity is necessary for the transition from rest to activity. We have revised the Limitations and caveats section to describe this experiment.

      “Third, although we show that PVNOT neurons are sufficient to drive thermogenic and behavioral transitions (Fig. 6), we did not perform acute loss-of-function experiments. Such experiments are warranted because decreases in baseline PVNOT calcium activity were associated with transitions toward the onset of quiescence (Fig. 3I-L), suggesting this system may bidirectionally regulate thermo-behavioural state. A tractable next step would be to optogenetically inhibit PVNOT neurons during established rest bouts, delivered at pseudo-random times across the light and rest phase and analyzed post hoc by behavioral state and body temperature; we predict that silencing during rest would prolong the average duration of rest bouts and delay the onset of activity and thermogenesis. Pairing the inhibition with selective oxytocin antagonist (such as L-368,899), would further test whether the thermogenic and autonomic components of these transitions are oxytocin receptor dependent rather than driven by glutamate released by the same neurons.”

      Lastly, the mention of Raam et al. 2026 is insufficient. The authors just mention it regarding the potential differences with males, to be explored in future experiments. Even if not using males in the current study doesn't affect the stated conclusions, the fact that they chose females because "their thermo-behavioural states were readily discernible" is a considerable bias. Testing males in this very study might be out of scope, but more discussion is warranted.

      We thank the reviewer for this point. We agree that our decision to study females deserves fuller treatment, and we have expanded the Limitations and caveats section accordingly.

      We want to be clear about the rationale, because it was methodological rather than an assumption of sex specificity. Our previous study on behavioral thermoregulation in mice (Landen et al., 2024) showed that, during the light/rest phase, females–but not males–display clearly rhythmic episodes of rest and activity that align with transitions between thermoregulatory states, and are therefore well suited to the analyses that form the core of this study. This choice does constrain the generality of our findings to females, but it does not affect the validity of the conclusions we draw, all of which concern PVNOT neurons in females.

      At the same time, we agree that whether these mechanisms extend to males is a substantive open question and we now say so explicitly. A direct comparison in males, while beyond the scope of the present study, is an important next step, and the recently defined neural basis of collective thermoregulatory huddling (Raam et al. 2026) offers a useful framework for that work. We have modified the Discussion/Limitations and caveats as follows:

      “We focused on females for a practical reason: during the light and rest phase, females show clear, rhythmic bouts of rest and activity, which makes transitions between thermoregulatory states readily discernible and well suited to the analyses around each state transition used here (Landen et al., 2024). This choice constrains the generality of our conclusions, which pertain specifically to females. Because oxytocin signaling can differ between sexes (https://doi.org/10.1016/j.yfrne.2015.04.003), and because the neural control of thermoregulatory behavior may not be identical in males, whether the PVNOT dynamics we describe operate similarly in males remains an open question. Testing males directly was beyond the scope of the present study, but it is an important next step, particularly as the neural basis of collective thermoregulatory huddling has recently begun to be defined (Raam et al. 2026).”

      Reviewer #2 (Public review):

      Summary:

      This is a very interesting study from Vandendoren and colleagues examining the role of PVN oxytocin neurons during thermoregulatory behaviors, in particular during thermoregulatory huddling. The findings are important and have implications for the thermoregulation field as well as the social/naturalistic behavior field. The findings are compelling and use a combination of state-of-the-art tools (photometry, optogenetics, automated behavior tracking, thermal imaging, and core body temperature measurement), often in combination with each other, to produce a rigorous and high-dimensional dataset.

      Comments on revised version.

      I appreciate the effort the authors have put into addressing all of my questions, and I have no remaining concerns.

      Thanks for the comments; they have greatly improved the manuscript.

      Reviewer #3 (Public review):

      Summary:

      This study investigates how the activity of hypothalamic paraventricular oxytocin (PVNOT) neurons relates to physiological states in female mice, with a particular focus on behavioral states and thermogenic sympathetic activity. To address this question, the authors combined automated video-based behavioral classification with calcium imaging of PVNOT neuron activity. Sympathetic thermogenesis was inferred from surface temperature changes measured by infrared thermography, and the authors have made their custom analysis scripts available. The authors report that strong, pulsatile activation of PVNOT neurons was "occasionally" observed immediately before transitions from resting to active states. This observation suggests that PVNOT neuronal activity may facilitate the transition from rest to activity. This phenomenon was observed in both pair-housed and individually housed animals. Taken together, these findings raise the possibility that the oxytocinergic system contributes to naturalistic behavior transitions even in the absence of social interactions. However, concerns regarding the selectivity of GCaMP expression in oxytocin-expressing neurons call into question the validity of the recorded PVNOT neuronal activity.

      Strengths:

      The oxytocinergic neural system is believed to subserve a wide range of physiological functions. Elucidating these roles requires monitoring PVNOT neuronal activity under diverse behavioral contexts, as well as manipulating this activity to establish causal relationships. In this study, the authors present a technically sound experimental framework that integrates behavioral tracking in both individually and group-housed mice with the monitoring and manipulation of PVNOT neuron activity. This setup represents a valuable methodological resource for researchers investigating the physiological functions of oxytocin.

      Thanks for the comments. We are encouraged to hear this framework will open new doors in understanding how the oxytocin system regulates behavior and energy homeostasis.

      Weaknesses:

      (1) Immunohistochemical validation of selective GCaMP expression in oxytocin-expressing neurons showed that only 24-51% of GCaMP-positive neurons expressed oxytocin. As an alternative approach, the authors demonstrate that GCaMP-expressing PVN neurons in virgin females exhibit calcium peaks during rest-wake transitions with kinetics similar to those observed in PVNOT neurons during early lactation. However, this comparison is based solely on population-level peak profiles and does not provide direct evidence for cell-type specificity of GCaMP expression in oxytocin neurons. This limitation substantially undermines the validity of the optical calcium imaging data. In situ hybridization targeting oxytocin mRNA, rather than immunohistochemistry, may provide a more reliable assessment of expression specificity.

      We view our data as showing strong evidence that the recorded neurons include, but may not be limited to, PVNOT neurons for the following two reasons: (1) as the reviewer notes, our longitudinal experiment shows conservation in the physiological and biophysical profile of these neurons in females that went from virgins to parturition and lactation, and (2) as described in Discussion/PVNOT neurons in context of arousal and peptidergic PVN cell-types, non-OT cell-types in the PVN do not show this pulsatile busting profile.

      In the “Discussion/Thermal tracking and validation of PVNOT recording specificity” section we had stated “We note that the animals were perfused at ~ZT4–8, before we were aware that somatic OT immunoreactivity in PVN neurons reaches a daily low during the early light phase [56]”. We now add to this the idea, suggested by the reviewer, that “In situ hybridization targeting oxytocin mRNA, rather than immunohistochemistry, may provide a more reliable assessment of expression specificity.”

      (2) Although the authors' interpretation is generally consistent with the data presented, their main conclusions rely heavily on observational findings. Moreover, optogenetic stimulation of PVNOT neurons failed to robustly recapitulate behavioral state transitions (Figs. 6D and S5B). Further interventional experiments will be necessary to more rigorously test the authors' interpretation and to establish mechanistic insight into the causal relationship between PVNOT activity and rest-to-active transitions. In particular, loss-of-function approaches targeting the PVNOT system, such as OXTR antagonism, inhibitory DREADDs, or cell-type-specific ablation, will be essential to determine whether perturbation of this system alters behavioral state transitions These points should be addressed in future studies.

      Reviewer 1 brought up a similar concern. We have added to the Discussion/Limitations and caveats to address this.

      “Third, although we show that PVNOT neurons are sufficient to drive thermogenic and behavioral transitions (Fig. 6), we did not perform acute loss-of-function experiments. Such experiments are warranted because decreases in baseline PVNOT calcium activity were associated with transitions toward the onset of quiescence (Fig. 3I-L), suggesting this system may bidirectionally regulate thermo-behavioural state. A tractable next step would be to optogenetically inhibit PVNOT neurons during established rest bouts, delivered at pseudo-random times across the light and rest phase and analyzed post hoc by behavioral state and body temperature; we predict that silencing during rest would prolong the average duration of rest bouts and delay the onset of activity and thermogenesis. Pairing the inhibition with selective oxytocin antagonist (such as L-368,899), would further test whether the thermogenic and autonomic components of these transitions are oxytocin receptor dependent rather than driven by glutamate released by the same neurons.”

      Note: as described in the previous response to reviewers, we have tried inhibitory DREADDs in this system and have concluded that it is of little value because delivering DREADD ligand requires handing the animals for an IP injection—a procedure that disrupts sleep/rest and induces stress hyperthermia.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      The authors have answered our criticisms and can proceed as they chose. This is an important paper, and it is the author's choice whether to develop their research here or in a subsequent paper.

      Thank you.

      Reviewer #2 (Recommendations for the authors):

      I thank the authors for citing my pre-print, as suggested by Reviewer 1. The paper has now been published and the authors may like to cite the published version (doi.org/10.1038/s41593-026-02224-0).

      Thank you.

      Reviewer #3 (Recommendations for the authors):

      (1) The authors now interpret their results as indicating that PVNOT activity biases the system toward state transition (from rest to active), rather than acting as a deterministic trigger. This interpretation is reasonable. However, the wording "PVNOT peaks (or neurons) predict transitions to behavioral arousal and thermogenesis" may be misleading. If arousal and thermogenesis occur in more than 80% of cases following PVNOT peaks, then such peaks could reasonably be described as "being predicted". Otherwise, the terminology should be revised for clarity.

      We thank the reviewer for raising this question, which touches on a substantive issue in how predictive relationships are characterized. We agree that "predicts" can misleadingly imply a high positive predictive value: i.e., that a large fraction of peaks are followed by transitions.

      This is not the claim we intend, nor is it the appropriate statistical criterion. A variable is predictive when it shifts the conditional probability (or, here, the conditional distribution) of the outcome relative to its base rate — the criterion underlying likelihood ratios, relative risk, and signal-detection measures — rather than when it exceeds an absolute occurrence threshold such as 80%. By this standard, a peak can be informative even if transitions do not follow the majority of peaks, provided transitions are substantially more likely (or thermogenically warmer) when a peak precedes them than when one does not.

      Our data support precisely this. The logistic regression shows peaks are much more probable immediately before rest offset than at other transitions or at baseline, and our new analysis shows that transitions preceded by peaks carry significantly larger post-offset Tb increases than those without. We are not claiming peaks act as a deterministic trigger, and we agree with the reviewer that they are not present before every transition.

      To keep our language aligned with these results, we have revised the wording to avoid "predict" where it could imply high hit-rate determinism, replacing it with comparative phrasing. Accordingly, we have revised the terminology throughout the manuscript: where a claim concerns timing, we now state that peaks “precede” transitions. We have removed “predict”/”predictive” from the section heading, figure legend, introduction and results as follows.

      “Then, we discovered that PVNOT calcium dynamics during huddling were associated with increased likelihood of transitions to body warming and arousal.”

      “PVNOT neuronal activity precedes transitions towards thermogenesis and behavioral arousal in social and non-social contexts.”

      Fig. 3 legend title: “PVNOT peaks are associated with increased likelihood of thermogenic rest-to-active transitions.”

      “Thus, PVNOT peaks are at least five-fold more likely to occur near the offset of quiescence/quiescent compared to onset, and signal an increase in physical activity—a correlate of behavioral arousal 53 and a means of increasing metabolic rate and Tb [26]”

      “Thus, for nesting and active huddling, PVNOT peaks are two- to three- fold more likely to occur at bout onset than offset.” Dropping flagged word here lol.

      “Together these results suggest that elevated PVNOT activity dynamics precede the offset of two rest states (quiescence and quiescent huddling) by approximately 100 seconds, and the onset of two post-quiescence active states (nesting and active huddling) by around 20 seconds, in solo and paired mice respectively.”

      “Moreover, PVNOT peaks aligned with the low point of a U-shaped body temperature profile: on average, Tb decreased before, and increased after, the time of the calcium peak in both solo and paired conditions (Fig. 3O,R). Together, these results suggest that PVN<sup>OT</sup> peaks occur during a low Tb trough and mark a subsequent rise in Tb.”

      (2) Regarding the 400-sec latency of BAT surface temperature increases following optogenetic stimulation, the authors now attribute this delay to slow peptidergic transmission. However, the authors should consider prior findings showing that BAT temperature increased immediately following optogenetic stimulation of PVN→rMR oxytocin neurons in anesthetized rats (Fukushima et al., 2022).

      My hunch is that doing this in anesthetized rats gives a stronger signal to noise… not sure if I can back that up though.

      At the least we can add a sentence that says “rMR oxytocin neurons immediately increases BAT temperature, while infusion of OXT or NMDA in the rMR results in BAT temperature increases after approximately one minute…” (see Fig. 3,4,5).

      We thank the reviewer for redirecting us to Fukushima et al. (2022). We note, however, that in that study the fast-responding variable was BAT sympathetic nerve activity, whereas the BAT temperature itself rose over several minutes following both optogenetic stimulation (their Fig. 4F, quantified at 5 and 10 minutes) and focal rMR infusion of oxytocin or NDMA (their Fig. 5, multiminute traces). This thermal timescale is comparable to the one we observe.

      The remaining difference could reflect methodological differences: we stimulated PVNOT somata rather than rMR terminals, measured intrascapular surface rather than BAT temperature directly, and recorded in awake, freely behaving animals (rather than anesthetized animals) in which competing thermoeffector and behavioral processes are active. Consistent with a methodological basis for the delay, focal infusion of oxytocin or NMDA into the rMR in that study increased BAT temperature over roughly a minute (Fukushima et al., 2022). Slow, diffuse peptidergic neuromodulation may further contribute, oxytocin is released from large dense-core vesicles and can act over extended time scales (Ludwig and Leng, 2006; Parmaksiz and Kim, 2025; Qian et al., 2023), although our data cannot isolate this mechanism from the factors above or from fast glutamatergic co-transmission that likely accompanies PVNOT activation (Hrabovszky and Liposits, 2008).

      (3) In the previous review, clarification was requested regarding the rationale and histological basis for intravenous FluoroGold injection. While the authors have now added methodological details, they should also incorporate the following explanatory text (previously provided in their rebuttal) into the manuscript for readers unfamiliar with PVN histological analyses:

      "Intravenous injection of FluoroGold (FG) was used to histologically differentiate between magnocellular and parvicellular oxytocin neurons in the PVN. Because the posterior pituitary is located outside the blood-brain barrier, i.v. FG is selectively taken up by terminals of magnocellular neurons and retrogradely transported to their cell bodies. This allows us to infer the neuroanatomical identity (magno- vs. parvicellular) of the PVNOT neurons of interest."

      We thank the reviewer for this suggestion. We have added the explanatory text to the results subsection, “PVN<sup>OT</sup> cellular projections to the rMR”. The text now reads: “rMR cell types in mice, we used FluoroGold (FG to disambiguate magno- vs. parvocellular PVN<sup>OT</sup> projections [67] (Fig. S6A-C). Because the posterior pituitary is located outside the blood-brain barrier, intravenous FG is selectively taken up by terminals of magnocellular neurons and retrogradely transported to their cell bodies. This allows us to infer the neuroanatomical identity (magno- vs. parvicellular) of the PVN<sup>OT</sup> neurons of interest.”

    1. Note: This response was posted by the corresponding author to Review Commons. The content has not been altered except for formatting.

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      Reply to the reviewers

      Reviewer #1 (Evidence, reproducibility and clarity (Required)):

      In this interesting manuscript the authors present experiments examining the relationship between the obligate intracellular bacterium Chlamydia pneumoniae (Cpn) and the microtubule (MT) cytoskeleton of the host eukaryotic cell using both mammalian cells and yeast as a model. They demonstrate that host microtubule stability contributes to the rate of entry of the bacteria into the cells. Interphase MT architecture is therefore important and correspondingly they show that mitotic cells are less permissive to bacterial entry. Other experiments show that Cpn entry is accompanied by changes to MT stability (measured indirectly via post-translational modifications). Finally they investigate the effects of overexpressing a Cpn virulence factor Cpn0572 in mammalian cells and yeast that they have previously shown to interact with both the actin and MT cytoskeletal networks. Cpn0572 expression induces MT acetylation (stability) which correlates with their previous observations and when expressed ectopically in yeast Cpn0572 suppresses force-dependent MT catastrophe. They propose that chlamydial effectors like Cpn0572 influence MT architecture and stability during Cpn entry, revealing a previously unappreciated role for MT in the bacterial entry process.

      • *

      Our Response to Summary ____Reviewer #1

      We thank the reviewer for the summary of our study. We would like to clarify one point. The mammalian-cell experiments demonstrating that CPn0572 interacts with and alters the MT cytoskeleton, including increased MT acetylation, were reported in our previous work (Höhler et al., 2024; doi: 10.1242/jcs.263450) and are not experiments performed in the present study. In the current manuscript, we use controlled ectopic expression of CPn0572 in S. pombe to analyse its effects on MT dynamics by live-cell imaging and show that CPn0572 reduces catastrophe and depolymerization and suppresses the normal catastrophe response at the cell cortex.

      Experimental points

      * __Comment 1*__

      Fig 1A - to assist interpretation whole cell images similar to those in the supplementary file should be included. It is difficult to relate the images in the small immunofluorescence panels to the phenotypes depicted.* *

      Answer to comment 1

      We have provided whole cell images of the enlarged images shown in Fig 1A. These are shown in Supp. Fig. S1A. We have added the following statement in the revised results section (line 174): Whole cell images of the zoom images in Fig 1A are shown in Fig S1A.




      Comment 2

      Cold recovery assay: one wonders what happens to the actin and intermediate filament networks under these conditions and when treated with MT-targetted agents. Some data should be included to rule out that there are additional effects on these systems as off target effects on actin might also influence the data. This is an essential control to support the conclusions drawn.

      Answer to comment 2

      Cold treatment efficiently perturbs the MT cytoskeleton without causing a comparable gross disruption of the actin cytoskeleton. These images are now included in the revised version of the manuscript (new Supp. Fig. S2). We have added the following sentence to our revised manuscript:(lines 129-130) Cold-treatment did not lead to gross alteration of F-actin organization (Fig. S2A).

      Comment 3a

      *Is MT repolymerisation synchronous following cold recovery? Its difficult to assess from the included images and sample size. *

      Answer to comment 3a

      Cold-induced MT depolymerization followed by rewarming results in rapid and highly synchronized MT regrowth in U2OS cells. This has been quantitatively demonstrated by Didier et al. (2008), who showed that MT asters were detectable within 30 s after rewarming and that a centrosome-radiating MT network had reformed in 95% of control U2OS cells within 60 s (Didier et al., 2008; doi: 10.1091/mbc.E06-12-1140). The images shown in our study are representative examples and were not intended to independently quantify the synchrony of MT regrowth.

      We have clarified this point in the revised results section as follows: (lines 120–122) “Cold-induced MT depolymerization followed by rewarming results in rapid and highly synchronized re-polymerization of the MT cytoskeleton in U2OS cells [32].”

      Comment 3b

      Why was this method selected in preference to nocodazole treatment and washout, where synchrony is easier to establish.

      Answer to comment 3b

      We selected cold-induced MT depolymerization because this approach provides both rapid and synchronized MT regrowth upon rewarming. We do not consider synchrony of MT repolymerization to be inherently easier to establish following nocodazole treatment and washout. In U2OS cells, cold-induced MT depolymerization followed by rewarming is a well-established MT-regrowth assay, and rapid, highly coordinated repolymerization has been demonstrated previously (Didier et al., 2008; doi: 10.1091/mbc.E06-12-1140).

      Importantly, the cold-recovery approach is particularly suitable for our experimental question because transfer of the cells from ice to 37°C provides a precisely defined starting point for MT repolymerization and, at the same time, initiates the early infection period. This allows us to analyse C. pneumoniae entry during the first minutes of MT recovery. Nocodazole washout can likewise be used to induce synchronized MT regrowth, but requires drug removal and repeated washing before recovery can be initiated. We therefore chose cold-induced depolymerization as the more appropriate approach for coupling synchronized MT regrowth directly to the very early stages of infection.


      Comment 4

      Although EB are scored in Fig 1A, they are not shown alongside the microtubules and modified microtubules as described.

      Answer to comment 4

      We apologize for the misleading representation in Fig 1A. The upper part of the figure is a schematic illustration of the experimental setup, whereas the lower part shows representative microscopic images of the tubulin and acetylated MT phenotype at the indicated time points. The schematic depicts the experimental workflow subsequently used for the infection experiments and was not intended to indicate that EBs were visualized in the images shown in Fig 1A.

      We have modified the schematic in the revised manuscript to make this distinction clear and to avoid further confusion.

      Comment 5a (please note- we have divided this into several sub comments)

      What happens to actin/intermediate filaments following the treatments with Taxol?

      Answer to comment 5a

      Because actin has a central role in chlamydial entry, we examined whether the Taxol treatment used in our experiments causes a major reorganization of the actin cytoskeleton. U2OS cells treated with DMSO or 10 µM Taxol for 2 h showed prominent F-actin fibres under both conditions, with no obvious gross disruption of the actin cytoskeleton following Taxol treatment (included now as new Fig. S2B). We have added the following sentence to our revised manuscript:(lines 202-204): Under the conditions used, Taxol treated cells showed prominent F-actin fibres with no obvious gross disruption of the actin cytoskeleton (Fig S2B).

      We did not analyse intermediate filaments. To our knowledge, there are no data implicating intermediate filaments in chlamydial entry. In C. trachomatis, their reorganization has been described during later inclusion development (Kumar and Valdivia, 2008, doi:10.1016/j.chom.2008.05.018), while in C. pneumoniae-infected cells alterations of vimentin and keratins 8/18 were detected at 48-72 h post-infection (Savijoki et al., 2008, doi:10.1111/j.1574-695X.2008.00488.x).

      Comment 5b

      Is this specifically targeting the MT under these conditions?


      Answer to comment 5b

      Taxol directly binds β-tubulin within polymerized MTs and stabilizes the MT lattice (Xiao et al., 2006, doi:10.1073/pnas.0603704103). Nevertheless, because actin and MTs are functionally interconnected, we experimentally assessed the actin cytoskeleton under the exact Taxol conditions used in our infection assay and did not observe a major alteration of F-actin organization.

      The purpose of the Taxol/Tubacin comparison was specifically to distinguish MT stabilization from increased tubulin acetylation per se. Taxol stabilizes MTs and consequently increases their acetylation, whereas Tubacin inhibits HDAC6-mediated tubulin deacetylation and increases MT acetylation without stabilizing MTs (Haggarty et al., 2003, doi:10.1073/pnas.0430973100). Under our experimental conditions, both treatments produced a comparable increase in acetylated MTs, whereas only Taxol generated MTs resistant to cold-induced depolymerization. These data are already shown in Fig 2 and Fig S3 and described in the Results (lines 195-220).

      Thus, both Taxol and Tubacin increase MT acetylation, but only Taxol stabilizes the MT network and only Taxol increases EB internalization. This is the basis for our conclusion that the long-lived MT state, rather than acetylation alone, is associated with enhanced C. pneumoniae entry.

      Comment 5c

      How toxic are the treatments and how were they titrated - this does not seem to be included.


      Answer to comment 5c

      The concentrations and treatment times are already given in both the Fig 2 legend and the Materials and Methods. U2OS cells were treated with 10 µM Taxol or 10 µM Tubacin for 2 h at 37°C before infection (Fig 2, lines 222-232; Materials and Methods, lines 675-686).

      These conditions were not established by a de novo dose-response titration in the present study but were selected on the basis of established short-term treatments for manipulating MT stability and acetylation in U2OS cells. Importantly, Jansen et al. used the same conditions - 10 µM Taxol for 2 h and 10 µM Tubacin for 2 h in U2OS cells - to experimentally distinguish stable from acetylated MT populations (Jansen et al., 2023, doi:10.1083/jcb.202106105). Tubacin as an inhibitor of HDAC6-dependent tubulin deacetylation was originally characterized by Haggarty et al. (2003, doi:10.1073/pnas.0430973100).

      We additionally verified the intended differential effects of these treatments in our own U2OS cells: both Taxol and Tubacin increased MT acetylation, whereas only Taxol protected MTs against cold-induced depolymerization (Fig 2 and Fig S3; lines 199-209).

      We did not perform a separate quantitative cytotoxicity assay. However, treatment was limited to 2 h, we observed no obvious signs of acute cellular deterioration or major changes in cell morphology, and the new F-actin analysis shows no gross disruption of the actin cytoskeleton under the Taxol conditions used.

      Comment 6

      line 156 - it is unclear what 'microtubule subsets' are referred to here and how the authors arrive at the fact that ~9% of MT are acetylated.

      Answer to comment 6

      We apologize that the term “microtubule subsets” was not sufficiently defined. By this term, we referred to microtubules distinguished by post-translational modification, in this case acetylated versus non-acetylated MTs. U2OS cells vary considerably in the abundance of acetylated MTs, ranging from cells containing few to cells containing many acetylated MTs.

      We have changed the wording in the results section accordingly.

      Comment 7

      Can the effects of taxol be modulated by changing the bacterial load (MOI)? The dose dependency of taxol is considered but not the reciprocal i.e. whether the effect can be suppressed by increasing the number of bacteria.

      Answer to comment 7

      We understand the proposed experiment to mean varying the bacterial load (MOI) at a constant taxol concentration to determine whether the taxol-dependent increase in entry becomes less apparent at higher MOIs.

      While such an experiment could test how the magnitude of the taxol effect depends on bacterial input, increasing the MOI is not mechanistically reciprocal to the taxol treatment. Taxol alters a host-cell property before addition of C. pneumoniae EBs by stabilizing MTs and increasing the population of long-lived/acetylated MTs. Our experiment therefore addresses whether this pre-existing MT state influences bacterial entry. Increasing the number of bacteria does not reverse or otherwise alter this host-cell state.

      Moreover, at high MOIs, a reduced relative difference between control and taxol-treated cells could result simply from saturation of available entry sites or cellular uptake capacity rather than from suppression of the taxol effect. We therefore consider an MOI titration in taxol-treated cells difficult to interpret with respect to the specific question of whether a pre-existing stabilized MT state promotes C. pneumoniae entry.

      Comment 8

      Figure 1 shows limited co-localisation between EB and MT. Are the authors certain that this is not stochastic? How many EB align with F-actin stress fibres on intermediate filaments under similar conditions. This might be interesting and correct, but controls are lacking to demonstrate specificity, which would make the data more convincing.

      Answer to comment 8

      We addressed the possibility that the observed EB–MT co-localization reflects stochastic overlap by quantifying the fraction of the cellular area occupied by MTs at the 10-min time point. At this stage of MT recovery, MTs occupied approximately 14% of the cellular area, whereas 35% of internalized EBs co-localized with MTs. Thus, EB–MT association occurred substantially more frequently than expected from MT area coverage alone. Using the MT-covered cellular area as the probability of random overlap, the observed frequency was significantly higher than expected for a random spatial distribution (exact binomial test, p The association was also strongly biased toward a specific MT population. Of the MT-associated EBs, 71% were associated with acetylated MTs, although acetylated MTs represented only approximately 9% of the total MT population under these conditions. This strong enrichment further argues against stochastic overlap.

      We deliberately performed this analysis at 10 min after shifting the cells back to 37°C, when MT re-polymerization is still incomplete and individual MT filaments are clearly distinguishable. This minimizes apparent co-localization resulting simply from the dense MT network present in untreated interphase cells.

      We do not consider F-actin to provide an equivalent negative control for this question. F-actin remains extensively distributed under these conditions and, importantly, actin is directly involved in chlamydial entry; EB association with actin would therefore be biologically expected rather than a measure of nonspecific cytoskeletal overlap. We did not analyse intermediate filaments. We consider the comparison between the observed EB–MT association and the quantitatively determined probability of random overlap to provide the more direct test of stochastic association.

      We have revised the Results section accordingly (lines 154-166): “Next, we analysed the subcellular localization of internalized EBs. At the 10-min time point (Fig. 1A), MT re-polymerization was still incomplete and individual MT filaments were clearly distinguished. Approximately 14% of the cellular area was occupied by MTs, whereas 35% of internalized EBs co-localized with MTs (Fig. 1E, F). Thus, EB association with MTs occurred at a substantially higher frequency than expected from MT area coverage alone. Consistently, comparison with a random spatial distribution using the fraction of MT-covered cellular area as the probability of random EB–MT overlap showed that the observed association was significantly higher than expected by chance (exact binomial test, p __ __

      Comment 9

      Figure 3. The cell cycle block relies upon RO-3306 which shifts the mitotic cell population from 5% to 36%. Would a thymidine block and release to synchronise the population yield a higher proportion of cells in mitosis? Did the authors consider this approach and exclude it for a defined reason?


      Answer to comment 9

      Achieving the highest possible proportion of mitotic cells was not the primary requirement for our experiment. Rather, we required a sufficient number of cells entering mitosis within a defined time window after release.

      Thymidine arrests cells at the G1/S transition, and cells must subsequently progress through S and G2 before entering mitosis. In contrast, the CDK1 inhibitor RO-3306 arrests cells directly at the G2/M transition and therefore allows rapid and temporally defined entry into mitosis following washout. We therefore considered RO-3306 more suitable for our experimental design. Importantly, our analysis does not rely on the entire synchronized population being mitotic. Following RO-3306 release, mitotic and non-mitotic cells were identified and analysed separately at the single-cell level. Under our conditions, approximately 36% of the population was mitotic, providing sufficient numbers of mitotic cells for quantification of C. pneumoniae infection. Thus, increasing the overall percentage of mitotic cells would not alter the basis of our comparison between mitotic and non-mitotic cells.

      Comment 10

      Many properties change in mitotic cells in addition to MT architecture. A particular consideration is the profound reorganisation of the actin cytoskeleton and changes in the composition of the plasma membrane, which might also influence the rates of Cpn entry. It is very technically difficult to show that these effects are specifically due to the MT changes and consequently this experiment, while interesting might have many alternative interpretations.

      • *

      Answer to comment 10

      We agree with the reviewer that mitosis involves extensive cellular reorganization in addition to the replacement of the interphase MT network by the mitotic spindle, and that the experiment in Fig 3 cannot by itself attribute the reduced C. pneumoniae entry specifically to changes in MT architecture. Indeed, we already considered this issue in the Results section. We note that endocytosis is generally reduced during early mitosis and is reactivated from anaphase onwards. At the same time, receptor-specific internalization pathways can remain active during mitosis, including EGFR uptake, which is particularly relevant here because EGFR is utilized by C. pneumoniae for host-cell entry. In addition, Fig 3D shows the mitotic reorganization of the actin cytoskeleton by rhodamine-phalloidin staining.

      Thus, we agree that changes in actin organization, membrane trafficking and other mitosis-associated cellular properties may contribute to the reduced infection efficiency observed in mitotic cells. Our intention with this experiment was not to establish that the reduction in EB entry is caused exclusively by loss of the interphase MT array. Rather, we asked whether C. pneumoniae entry is altered in a physiological cellular state in which the interphase MT architecture is absent and replaced by the mitotic spindle. We find that mitotic cells remain permissive to EB entry, but infection efficiency is strongly reduced compared with interphase cells.

      The MT-specific conclusions of our study are therefore based primarily on the experiments in Figs 1 and 2, in which MT composition and stability are directly analysed or manipulated. The mitotic-cell experiment provides complementary evidence showing that a cellular state lacking the normal interphase MT architecture is associated with strongly reduced EB entry, but we agree that this experiment alone cannot distinguish the contribution of MT reorganization from other mitosis-associated changes.

      To make this limitation explicit, we have changed the final sentence of this part of the results section to (lines 276-278):" Thus, EB entry is strongly reduced in mitotic cells, a cellular state characterized by loss of the interphase MT architecture but also by broader changes in cytoskeletal organization and membrane trafficking."__ __

      Comment 11a (please note- we have divided this into several sub comments)

      While the overexpression experiments in cells and yeast are interesting, these come with caveats about the dose of the effector and the relevance of the system to the pathological process.

      Answer to comment 11a

      The S. pombe experiments were designed to analyse the effects of CPn0572 on MT dynamics under controlled expression conditions, rather than to reproduce the infection process. CPn0572-mCherry is expressed from a single genome-integrated copy under an inducible TetO promoter, and MT dynamics are analysed after only 1 h of induction. This minimizes dosage heterogeneity and allows early effects of CPn0572 on the MT cytoskeleton to be analysed in living cells. This rationale is already described in the manuscript (lines 384-391).

      The manuscript also explicitly acknowledges that TetO-driven expression cannot reproduce the spatially restricted delivery of an effector by the bacterial secretion system; rather, it provides a tractable system in which the consequences of CPn0572 appearance in a eukaryotic cell can be analysed (lines 577-583).

      The relevance of the S. pombe system for analysing MT dynamics is addressed in detail in our response to Comment 15. Importantly, CPn0572 has independently been shown to associate with and stabilize MTs in mammalian cells in the infection (Höhler et al., 2024, doi:10.1242/jcs.263450). Thus, the S. pombe experiments are used to resolve how CPn0572 alters MT behaviour, not as a surrogate for C. pneumoniae infection.

      Comment 11b

      *Could Chlamydia trachomatis TARP that interacts with actin but not MT be used as a control here? *

      Answer to comment 11b

      We do not consider C. trachomatis TarP an appropriate matched negative control for CPn0572. Although both proteins belong to the TarP family and both modulate actin, their activities toward the actin cytoskeleton are not equivalent. TarP and CPn0572 show distinct patterns of subcellular localization and F-actin association, and CPn0572 additionally binds preassembled F-actin and protects it from cofilin-mediated destabilization (Jewett et al., 2006, doi:10.1073/pnas.0603044103; Jewett et al., 2010, doi:10.1371/journal.ppat.1000997; Zrieq et al., 2017, doi:10.3389/fcimb.2017.00511). CPn0572 additionally associates with MTs (Höhler et al., 2024, doi:10.1242/jcs.263450).

      This distinction is important because the actin and MT cytoskeletons are functionally interconnected (Dogterom and Koenderink, 2019, doi:10.1038/s41580-018-0067-1). Consequently, differences in MT behaviour following expression of TarP and CPn0572 could not be attributed specifically to the presence or absence of MT-binding activity. TarP therefore would not constitute a control differing from CPn0572 only in its ability to target MTs.

      Comment 11c

      While there are interesting effects of CPn0572, which in part relate to the other phenotypes identified in the work, the link between the activities of Cpn0572 overexpression and the infection process are currently weak, beyond the fact that this is one of a number of effectors what have the capability of manipulating the actin and/or MT cytoskeletal networks. The current presentation is therefore speculative.

      Answer to comment 11c

      We believe that this concern reflects a misunderstanding of how the CPn0572 experiments are positioned within the manuscript. The study addresses three consecutive but distinct questions: (1) whether the pre-existing state of the host MT network influences C. pneumoniae entry; (2) whether C. pneumoniae itself alters the host MT network during early infection; and (3) how a chlamydial protein with MT-modulating activity can alter MT dynamics. CPn0572 is used for the third question as one experimentally tractable example of a chlamydial MT modulator. We do not propose that CPn0572 alone accounts for either the entry phenotype or the infection-induced increase in MT acetylation.

      This three-part logic is already stated in the original manuscript. In the Introduction, we first define the permissive host MT state, then describe the infection-induced increase in MT acetylation, and finally introduce controlled expression of CPn0572 to analyse its effect on MT stability (lines 96-104).

      The distinction between the first two parts is made particularly explicit in the Discussion: “The preferential infection of cells containing acetylated MTs needs to be distinguished from the increase in MT acetylation observed 1 hr after chlamydial infection.” The manuscript then states that the former represents a host-cell property present before infection, whereas the latter demonstrates that C. pneumoniae remodels the host MT cytoskeleton during infection (lines 531-536).

      Likewise, CPn0572 is explicitly introduced as one example with which to investigate how chlamydial proteins might alter MT dynamics. The relevant results sections states that several C. pneumoniae proteins are likely to jointly manipulate the MT cytoskeleton and that CPn0572 was analysed “to start to understand how MTs might be modulated by chlamydial proteins” (lines 374-381). We then show that CPn0572 reduces MT catastrophe and depolymerization and suppresses the normal catastrophe response at the cell cortex, thereby increasing MT persistence (lines 403-410).

      The manuscript furthermore explicitly argues against a single-effector model. We state that the infection-induced increase in MT acetylation is likely to result from “multiple EB-associated effectors that together remodel the host MT network” (lines 572-574).

      To strengthen this concept experimentally, we have added an experiment in the revised version of the manuscript. We now analysed the combined activity of two chlamydial MT-modulating proteins namely CPn0572 and CPn0443. Thus, if we have two independent MT modulations, we would expect a phenotype intermediate between those produced by either protein alone. CPn0443 was originally identified as a C. pneumoniae protein that strongly alters the interphase MT cytoskeleton by destabilizing it (Wevers et al., 2023, doi:10.3390/ijms24087618) which is opposite to the function of CPn0572.

      We therefore asked what happens when these two opposing chlamydial MT modulators are present in the same cell. CPn0572 increases MT occupancy, whereas CPn0443 strongly reduces MT occupancy and longitudinal MT organization. Importantly, simultaneous expression produces an intermediate phenotype: CPn0572 partially counteracts both the CPn0443-induced reduction in MT occupancy and the loss of longitudinal MT organization. These new data (Fig. 7) directly demonstrate that two chlamydial MT modulators can interact at the level of the same cellular MT network. They therefore provide additional experimental support for the concept that host MT remodelling may reflect the combined activities of multiple chlamydial proteins rather than the action of CPn0572 alone.

      Thus, the manuscript neither establishes nor claims a one-to-one causal relationship between CPn0572 and the infection-induced MT phenotype. Rather, a pre-existing host MT state affects bacterial entry, C. pneumoniae subsequently remodels the host MT network, and CPn0572 is used as one example to determine how a chlamydial MT-modulating protein can alter MT dynamics.

      Comment 12

      The Discussion is extensive, and could be reduced to deal with the key findings presented in the work and potentially to address some of the limitations.

      __ ____Answer to comment 12__

      We have shortened the discussion.

      The original discussion already discusses the limitations and boundaries. For example, we state that Taxol-induced MT stabilization may not fully recapitulate the properties of naturally acetylated MTs, that the proposed contribution of MT-dependent membrane trafficking to EB entry remains to be tested, and that the infection-induced MT phenotype is likely to reflect the combined activity of multiple chlamydial proteins rather than a single effector. We also explicitly note that TetO-driven ectopic expression of CPn0572 does not reproduce the spatially restricted delivery of an effector during infection.

      In addition, following the reviewer’s specific concern regarding the mitotic-cell experiment, we have clarified this in the revised results section (see comment 10).

      Reviewer #1 (Significance (Required)):

      * This is an interesting and potentially important study, which will be of interest to researchers studying Cpn, related Chlamydiae and obligate intracellular bacteria, and more generally to those studying the entry of bacterial pathogens into host mammalian cells. Bacterial effectors like Cpn0572 are also of interest to the cell biology community, as studying their activities can reveal novel insights into the regulation and dynamics of the cytoskeleton, relevant to fields including immunology, developmental biology and cancer biology.*

      * The manuscript addresses key unresolved questions - for example, it tries to reconcile the potential role for the MT cytoskeleton in bacterial entry, which has been suspected but overtaken by studies of the actin cytoskeleton, where cause and effect and more straightforward. The work investigates role for the posttranslational modification of MT and how this can be reprogrammed by pathogens. Finally, it offers an opportunity to study the interplay between the actin and MT networks and how this might be bridged. This is not well understood in mammalian cells.*

      *Notwithstanding the comments above, the individual experiments presented are largely well executed and support the individual conclusions drawn. The weakness of the study is that it is descriptive and correlative. It is an assembly of interesting, but potentially differentially related, experiments examining MT during Cpn infection, essentially in three separate sections i) stability of cellular MT being important for Cpn infection, ii) assessing changes to MT modifications during Cpn infection, iii) the effects of a particular effector amongst many on these processes. While broadly self-supporting in that they all address Cpn and MT, they are presented as cohesive, although the direct relationships between these different topics remains somewhat subjective.

      The reviewer actively researches interactions between bacterial pathogens and the host cytoskeleton.*

      Our answer to Reviewer 1 (significance)

      We appreciate the reviewer’s positive assessment of the interest and potential importance of the study. We would, however, like to clarify both the conceptual connection between the experimental sections and what we consider an important aspect of the novelty of the work.

      Bacterial entry into mammalian cells has overwhelmingly been studied as an actin-driven process. Although MTs have been implicated in several bacterial infection cycles, their functions have been studied much less extensively and mainly in post-entry trafficking and later stages of infection. A defined role for different MT states during bacterial entry has remained largely unexplored.

      Our central finding is therefore not simply that MTs contribute to C. pneumoniae infection. We show that, within the same mammalian cell population, cells with a particular pre-existing MT state are preferentially infected. Increasing amounts of acetylated/long-lived MTs correlate with increasing entry efficiency, whereas detyrosinated MTs do not, and the Taxol/Tubacin experiments further distinguish MT stability from acetylation itself. To our knowledge, a pre-existing MT state has not previously been identified as a determinant of differential host-cell permissiveness to bacterial entry.

      The subsequent experiments build directly on this finding. Having established that a long-lived interphase MT state favors entry, we ask whether C. pneumoniae itself modifies this state and show that early infection increases MT acetylation in a viability-dependent manner. We then use CPn0572 as one mechanistically tractable early effector to ask how a chlamydial MT stabilizer can generate increased MT persistence and show that it suppresses catastrophe and reduces depolymerization.

      Thus, while the study does not establish a single linear molecular pathway, the experiments are not an assembly of differentially related observations. Together, they identify a previously unrecognized host-cell MT state that determines permissiveness to bacterial entry, show that Chlamydia subsequently remodels this cytoskeletal system, and provide mechanistic insight into how an early chlamydial effector can generate a persistent MT state.


      Reviewer #2 (Evidence, reproducibility and clarity (Required)):

      Evidence, reproducibility, and clarity

      * Summary

      The manuscript by Schenk et al examines how the microtubule state of U2OS cells affects the ability of Chlamydia pneumoniae to enter the host cell. The authors test whether two tubulin post-translational modifications, detyrosination and acetylation, affect bacterium entry and find that cells with higher levels of acetylation display more internalized Chlamydia particles. They also test whether the tubulin state or the post-translational modification is the important factor for Chlamydia entry and find that stabilization of microtubules with taxol treatment is sufficient for increasing the number of internalized particles. They show that entry is higher in interphase cells than mitotic cells. Finally, they show that the Chlamydia protein CPn0572, which was previously shown to alter microtubules in mammalian cells, can alter microtubule dynamics in yeast cells. Overall, this is a straight-forward set of experiments that add information about how the state of microtubules in cells impacts the entry step of Chlamydia infection.*

      Response to Summary

      We thank the reviewer for this accurate summary of the main findings of our study.

      Major comments

      Comment 13

      In general, the claims and the conclusions are supported by the data. The data in Figures 1–4 address very specific questions and are straightforward. The only issue is that the microtubule immunofluorescence does not look very good. Especially the total tubulin staining. In many cells, it doesn't even look filamentous. Generally, methanol fixation preserves microtubule structures much better than PFA.

      __Answer to comment 13 __

      We agree that methanol fixation can provide a sharper visualization of filamentous MTs. However, the choice of fixation also depends on the biological question being addressed. Importantly, a study specifically examining fixation effects in Chlamydia trachomatis-infected cells showed that alcohol-based fixation can induce cellular shrinkage and distortion, whereas formaldehyde fixation is used to better preserve overall cellular architecture and the spatial relationships between cellular components (Kokes and Valdivia, 2015; doi: 10.1371/journal.pone.0139153). This consideration was particularly important in our experiments, because our analyses required assessment of the spatial relationship between chlamydial EBs and the host-cell MT cytoskeleton during the early stages of infection.

      PFA fixation has also been used in previous studies examining early Chlamydia–host cell interactions, including studies in U2OS cells and during early C. pneumoniae infection (Nans et al., 2014; doi__: _10.1111/cmi.12310_; Mölleken and Hegemann, 2017; doi: 10.1371/journal.ppat.1006556__).

      We acknowledge that the total-tubulin staining appears less sharply filamentous in some cells. Nevertheless, MT structures relevant to our analyses are distinguishable under the experimental conditions used, and identical fixation, staining and imaging conditions were applied across the respective experimental groups. Importantly, as also noted by the reviewer, the quantitative data in Figures 1–4 support the conclusions drawn from these experiments.

      Comment 14

      Its not clear why the inside/outside staining was only used in Fig 2. How do the authors know that the particles in the other figures are inside vs outside the host cell?

      __Answer to comment 14 __

      Inside/outside staining was used in Fig 2 because these experiments were designed specifically to quantify EB internalization. In contrast, Fig 1 examines changes in MT post-translational modifications, while Fig 3 examines the organization of the MT and actin cytoskeletons. For these experiments, inside/outside staining was technically not feasible because the complete staining combination would require five fluorescence channels, whereas our microscopy setup allows a maximum of four.

      We therefore used a spatial approach to assign EB localization in Figs 1 and 3. We initially tested a plasma membrane marker as a means of defining the cell boundary. However, the permeabilization required for subsequent tubulin immunostaining resulted in additional intracellular staining of this marker, preventing an unambiguous identification of the plasma membrane in the final samples. We therefore used the outer boundary of the cytoplasmic α/β-tubulin signal to delineate the cellular area in interphase cells. For the mitotic cells analyzed in Fig 3, the prominent cortical F-actin signal provided a clear definition of the cell boundary.

      Each optical section of the complete confocal z-stack was examined individually, and EBs were classified according to their three-dimensional position relative to the delineated cellular area. Thus, whereas Fig 2 uses inside/outside staining to directly distinguish internalized from extracellular EBs, EB localization in Figs 1 and 3 was assigned on the basis of their spatial position within the cellular volume.

      Comment 15a (please note- we have divided this into several sub comments)

      The use of S. pombe to test the effects of CPn0572-mCherry on microtubule dynamics seems an odd choice. It is not clear whether these findings are relevant to the story since yeast cells are very different from mammalian cells.


      Answer to comment 15a

      We consider S. pombe a highly appropriate system for analysing the effect of CPn0572 on MT dynamics for four reasons: (1) its simple and exceptionally well-characterized interphase MT cytoskeleton allows changes in MT bundle dynamics to be resolved particularly clearly; (2) fundamental components of the MT system are evolutionarily ancient; (3) yeast-based approaches are established for identifying functions of chlamydial proteins; and (4) Chlamydiae are themselves an ancient lineage of intracellular bacteria, making conserved eukaryotic cellular processes plausible targets for their effectors.

      (1) S. pombe interphase cells contain only a small number of well-defined MT bundles whose dynamics and behaviour at the cell cortex can be followed directly and quantitatively in living cells (Drummond and Cross, 2000, doi:10.1016/S0960-9822(00)00570-4; Sawin and Tran, 2006, doi:10.1002/yea.1404). This makes changes in MT bundle dynamics considerably easier to resolve than within the dense MT network of mammalian cells.

      (2) Yeast model systems have been exceptionally successful in uncovering fundamental principles of eukaryotic cell biology, as exemplified by Nobel-Prize-for- Medicine winning work on cell-cycle control, vesicle trafficking and autophagy. The tubulin-based MT cytoskeleton is likewise evolutionarily ancient: α-, β- and γ-tubulins and diverse MT motors were already present in the last eukaryotic common ancestor, before diversification of the major eukaryotic lineages (Wickstead and Gull, 2011, doi:10.1083/jcb.201102065). Many years ago, our own work provided a direct example of functional conservation: S. pombe Mal3 belongs to the EB1 family of conserved MT plus-end-tracking proteins that regulate MT dynamics, and human EB1 can substitute for Mal3 in S. pombe (Beinhauer et al., 1997, doi:10.1083/jcb.139.3.717).

      __(3) __Several yeast-based approaches successfully investigated chlamydial proteins. A systematic Saccharomyces cerevisiae expression screen identified C. trachomatis proteins that affect yeast cellular functions or target eukaryotic organelles (Sisko et al., 2006, doi:10.1111/j.1365-2958.2006.05074.x), and subsequent yeast-based screening identified chlamydial proteins targeting lipid droplets (Kumar et al., 2006, doi:10.1016/j.cub.2006.06.060). In our own S. pombe screen, 13 of 116 tested C. pneumoniae proteins strongly altered the interphase MT cytoskeleton (Wevers et al., 2023, doi:10.3390/ijms24087618).

      (4) Chlamydiae have a long evolutionary history of interaction with eukaryotic cells. The last common ancestor of pathogenic and symbiotic Chlamydiae was already adapted to intracellular survival approximately 700 million years ago and possessed a type III secretion system (Horn et al., 2004, doi:10.1126/science.1096330). It is therefore plausible that chlamydial effectors exploit ancient, conserved features of eukaryotic cell biology, including the MT cytoskeleton.

      We therefore do not use S. pombe as a model for mammalian infection itself, but as a tractable system in which effects of CPn0572 on fundamental MT properties can be resolved clearly. Importantly, relevance to mammalian cells is independently supported by our previous demonstration that CPn0572 associates with and stabilizes MTs in mammalian cells (Höhler et al., 2024, doi:10.1242/jcs.263450).


      Comment 15b

      Furthermore, the Fleig group has already shown that CPn0572 binds to microtubules when ectopically expressed in mammalian cells and causes their stabilization and bundling. It would be useful to see if CPn0572 expression increases acetylation when expressed in mammalian cells

      Answer to comment 15b

      This experiment has already been performed. Ectopic expression of CPn0572 resulted in an approximately threefold increase in acetylated α-tubulin compared with control cells (Höhler et al., 2024, doi:10.1242/jcs.263450).

      Comment 15c

      And test whether it directly alters microtubule dynamics using reconstitution assays.

      Answer to comment 15c

      Reconstitution experiments with purified CPn0572 and tubulin could test whether CPn0572 is sufficient to alter MT dynamics in a minimal in vitro system. However, CPn0572 modulates both the actin and MT cytoskeletons, and such an assay would not establish how its MT effects arise in the cellular context, where additional host components or interactions between the two cytoskeletal systems may contribute. The aim of the present study was to determine whether CPn0572 affects MT organization and dynamics in living cells. Together with our previous demonstration that CPn0572 associates with and stabilizes MTs in mammalian cells (Höhler et al., 2024, doi:10.1242/jcs.263450), the S. pombe experiments establish that CPn0572 alters MT behaviour in a cellular context. Dissecting whether this activity is mediated by a direct interaction with tubulin/MTs or involves additional host factors will require a separate biochemical analysis and is beyond the scope of the present study.

      Comment 15d

      Furthermore, its role in Chlamydia infection could be tested by deleting the gene from the Chlamydia genome.

      Answer to comment 15d

      A CPn0572 deletion could address the contribution of this effector to C. pneumoniae infection. However, targeted gene-deletion approaches such as those available for C. trachomatis have not been established for C. pneumoniae (Shima et al., 2018, doi:10.1128/mSphere.00412-18; Wan et al., 2023, doi:10.3389/fimmu.2023.1209879). Thus, deletion of CPn0572 is currently not technically feasible.

      Moreover, CPn0572 is a TarP-family effector that modulates both the actin and MT cytoskeletons (Höhler et al., 2024, doi:10.1242/jcs.263450). Consequently, even if a CPn0572 deletion mutant were available, any resulting infection phenotype would reflect the combined loss of its cellular activities and would not by itself establish the specific contribution of its MT-modulating function.

      *Minor comments

      *

      Comment 16

      The exact antibodies used for immunofluorescence and western blot should be listed. Some tubulin antibodies are not very good and the reader needs to know that the results are reliable.

      __Answer to comment 16 __

      We have revised the Materials and Methods section to provide the exact antibodies used for all immunofluorescence and Western blot analyses, including the respective supplier, catalogue number and antibody dilution. In addition, for experiments in which different α-tubulin antibodies were used, we now specify the antibody and its host species for each individual experiment, allowing unambiguous identification of the antibody used.

      Comment 17

      Fig. 4 – it would be nice to validate the increase in acetylation by immunofluorescence.

      Answer to comment 17

      We thank the reviewer for this valuable suggestion. We have now independently validated the infection-induced increase in MT acetylation by immunofluorescence microscopy. Representative fluorescence images together with the corresponding quantitative analysis have been added to the revised Fig. 4G, H. Consistent with the Western blot analysis, immunofluorescence showed a significant MOI-dependent increase in acetylated α-tubulin 1 h post infection.

      The corresponding text has been added to the revised manuscript (lines 329–332):

      “To independently validate the infection-induced increase in MT acetylation observed at 1 hpi, we additionally analysed acetylated MT levels by immunofluorescence microscopy. Consistent with the Western blot results, immunofluorescence analysis showed a significant MOI-dependent increase in MT acetylation (Fig. 4G, H).”

      This independent analysis confirms the increase in MT acetylation observed by Western blotting and supports our conclusion that C. pneumoniae infection induces increased MT acetylation.

      Comment 18

      The term inside-out staining is confusing. I think the authors mean inside/outside staining.

      Answer to comment 18

      We agree that “inside/outside staining” more accurately describes the staining approach used in our experiments. We have therefore replaced “inside-out staining” with “inside/outside staining” throughout the revised manuscript.

      Reviewer #2 (Significance (Required)):

      * This study provides new information about how Chlamydia alters the microtubule cytoskeleton to enter mammalian cells. Previous work had shown that Chlamydia utilizes the actin cytoskeleton so this study expands our knowledge of the entry mechanisms. The insights would be more mechanistic if the effects of CPn0572 could be shown in reconstitution assays. The work will be of interest to researchers that study the basic mechanisms of pathogen entry into mammalian cells.*

      Our Response to Significance

      We thank the reviewer for this assessment. The point concerning a CPn0572 reconstitution assay is addressed in our response to Comment 15c above.

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      Referee #2

      Evidence, reproducibility and clarity

      Summary

      The manuscript by Schenk et al examines how the microtubule state of U2OS cells affects the ability of Chlamydia pneumoniae to enter the host cell. The authors test whether two tubulin post-translational modifications, detyrosination and acetylation, affect bacterium entry and find that cells with higher levels of acetylation display more internalized Chlamydia particles. They also test whether the tubulin state or the post-translational modification is the important factor for Chlamydia entry and find that stabilization of microtubules with taxol treatment is sufficient for increasing the number of internalized particles. They show that entry is higher in interphase cells than mitotic cells. Finally, they show that the Chlamydia protein CPn0572, which was previously shown to alter microtubules in mammalian cells, can alter microtubule dynamics in yeast cells. Overall, this is a straight-forward set of experiments that add information about how the state of microtubules in cells impacts the entry step of Chlamydia infection.

      Major comments

      In general, the claims and the conclusions are supported by the data. The data in Figures 1-4 address very specific questions and are straight-forward. The only issue is that the microtubule immunofluorescence does not look very good. Especially the total tubulin staining. In many cells, it doesn't even look filamentous. Generally, methanol fixation preserves microtubule structures much better than PFA.

      Its not clear why the inside/outside staining was only used in Fig 2. How do the authors know that the particles in the other figures are inside vs outside the host cell?

      The use of S pombe to test the effects of CPn0572-mCherry on microtubule dynamics seems an odd choice. It is not clear whether these findings are relevant to the story since yeast cells are very different from mammalian cells. Furthermore, the Fleig group has already shown that CPn0572 binds to microtubules when ectopically expressed in mammalian cells and causes their stabilization and bundling. It would be useful to see if CPn0572 expression increases acetylation when expressed in mammalian cells. And test whether it directly alters microtubule dynamics using reconstitution assays. Furthermore, its role in Chlamydia infection could be tested by deleting the gene from the Chlamydia genome.

      Minor comments

      The exact antibodies used for immunofluorescence and western blot should be listed. Some tubulin antibodies are not very good and the reader needs to know that the results are reliable.

      Fig 4 - it would be nice to validate the increase in acetylation by immunofluorescence

      The term inside-out staining is confusing. I think the authors mean inside/outside staining

      Significance

      This study provides new information about how Chlamydia alters the microtubule cytoskeleton to enter mammalian cells. Previous work had shown that Chlamydia utilizes the actin cytoskeleton so this study expands our knowledge of the entry mechanisms. The insights would be more mechanistic if the effects of CPn0572 could be shown in reconstitution assays. The work will be of interest to researchers that study the basic mechanisms of pathogen entry into mammalian cells.

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      Referee #1

      Evidence, reproducibility and clarity

      In this interesting manuscript the authors present experiments examining the relationship between the obligate intracellular bacterium Chlamydia pneumoniae (Cpn) and the microtubule (MT) cytoskeleton of the host eukaryotic cell using both mammalian cells and yeast as a model. They demonstrate that host microtubule stability contributes to the rate of entry of the bacteria into the cells. Interphase MT architecture is therefore important and correspondingly they show that mitotic cells are less permissive to bacterial entry. Other experiments show that Cpn entry is accompanied by changes to MT stability (measured indirectly via post-translational modifications). Finally they investigate the effects of overexpressing a Cpn virulence factor Cpn0572 in mammalian cells and yeast that they have previously shown to interact with both the actin and MT cytoskeletal networks. Cpn0572 expression induces MT acetylation (stability) which correlates with their previous observations and when expressed ectopically in yeast Cpn0572 suppresses force-dependent MT catastrophe.They propose that chlamydial effectors like Cpn0572 influence MT architecture and stability during Cpn entry, revealing a previously unappreciated role for MT in the bacterial entry process.

      Experimental points

      1. Fig 1A - to assist interpretation whole cell images similar to those in the supplementary file should be included. It is difficult to relate the images in the small immunofluorescence panels to the phenotypes depicted.
      2. Cold recovery assay: one wonders what happens to the actin and intermediate filament networks under these conditions and when treated with MT-targetted agents. Some data should be included to rule out that there are additional effects on these systems as off target effects on actin might also influence the data. This is an essential control to support the conclusions drawn.
      3. Is MT repolymerisation synchronous following cold recovery? Its difficult to assess from the included images and sample size. Why was this method selected in preference to nocodazole treatment and washout, where synchrony is easier to establish.
      4. Although EB are scored in Fig 1A, they are not shown alongside the microtubules and modified microtubules as described.
      5. Relating to point 2, what happens to actin/intermediate filaments following the treatments with taxol? Is this specifically targetting the MT under these conditions. How toxic are the treatments and how were they titrated - this does not seem to be included.
      6. line 156 - it is unclear what 'microtubule subsets' are referred to here and how the authors arrive at the fact that ~9% of MT are acetylated.
      7. Can the effects of taxol be modulated by changing the bacterial load (MOI)? The dose dependency of taxol is considered but not the reciprocal i.e. whether the effect can be suppressed by increasing the number of bacteria.
      8. Figure 1 shows limited co-localisation between EB and MT. Are the authors certain that this is not stochastic? How many EB align with F-actin stress fibres on intermediate filaments under similar conditions. This might be interesting and correct, but controls are lacking to demonstrate specificity, which would make the data more convincing.
      9. Figure 3. The cell cycle block relies upon RO-3306 which shifts the mitotic cell population from 5% to 36%. Would a thymidine block and release to synchronise the population yield a higher proportion of cells in mitosis? Did the authors consider this approach and exclude it for a defined reason?
      10. Many properties change in mitotic cells in addition to MT architecture. A particular consideration is the profound reorganisation of the actin cytoskeleton and changes in the composition of the plasma membrane, which might also influence the rates of Cpn entry. It is very technically difficult to show that these effects are specifically due to the MT changes and consequently this experiment, while interesting might have many alternative interpretations.
      11. While the overexpression experiments in cells and yeast are interesting, these come with caveats about the dose of the effector and the relevance of the system to the pathological process. Could Chlamydia trachomatis TARP that interacts with actin but not MT be used as a control here? While there are interesting effects of Cpn0572, which in part relate to the other phenotypes identified in the work, the link between the activities of Cpn0572 overexpression and the infection process are currently weak, beyond the fact that this is one of a number of effectors what have the capability of manipulating the actin and/or MT cytoskeletal networks. The current presentation is therefore speculative.
      12. The Discussion is extensive, and could be reduced to deal with the key findings presented in the work and potentially to address some of the limitations.

      Significance

      This is an interesting and potentially important study, which will be of interest to researchers studying Cpn, related Chlamydiae and obligate intracellular bacteria, and more generally to those studying the entry of bacterial pathogens into host mammalian cells. Bacterial effectors like Cpn0572 are also of interest to the cell biology community, as studying their activities can reveal novel insights into the regulation and dynamics of the cytoskeleton, relevant to fields including immunology, developmental biology and cancer biology.

      The manuscript addresses key unresolved questions - for example, it tries to reconcile the potential role for the MT cytoskeleton in bacterial entry, which has been suspected but overtaken by studies of the actin cytoskeleton, where cause and effect and more straightforward. The work investigates role for the posttranslational modification of MT and how this can be reprogrammed by pathogens. Finally, it offers an opportunity to study the interplay between the actin and MT networks and how this might be bridged. This is not well understood in mammalian cells.

      Notwithstanding the comments above, the individual experiments presented are largely well executed and support the individual conclusions drawn. The weakness of the study is that it is descriptive and correlative. It is an assembly of interesting, but potentially differentially related, experiments examining MT during Cpn infection, essentially in three separate sections i) stability of cellular MT being important for Cpn infection, ii) assessing changes to MT modifications during Cpn infection, iii) the effects of a particular effector amongst many on these processes. While broadly self-supporting in that they all address Cpn and MT, they are presented as cohesive, although the direct relationships between these different topics remains somewhat subjective.

      The reviewer actively researches interactions between bacterial pathogens and the host cytoskeleton.

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      Referee #3

      Evidence, reproducibility and clarity

      Microtubule dynamics depend on the concentration of soluble αβ-tubulins. When cells detect an increase in soluble αβ-tubulin, they trigger degradation of tubulin mRNAs via a process termed tubulin autoregulation. In this pathway, the ribosome-associated factor TTC5 recognizes nascent amino-terminal autoregulatory MREC and MREI motifs in αβ-tubulins. Upon recognition of the nascent tubulin chain, TTC5 recruits the adaptor protein SCAPER, which in turn engages the CCR4-NOT complex to promote mRNA decay. While this mechanism has been well characterized for α- and β-tubulin transcripts, how cells regulate the abundance of the core microtubule nucleator γ-tubulin remains poorly understood. Here, Assaf et al. show that γ-tubulin-encoding mRNAs are also downregulated through the same tubulin autoregulation pathway (the TTC5-SCAPER-CCR4-NOT axis) in response to elevated soluble αβ-tubulin. They demonstrated that disruption of this pathway, through knockout or mutation of TTC5, SCAPER, or CNOT11, leads to increased γ-tubulin mRNA levels following treatment with the microtubule destabilizer combretastatin A-4 (CA4). Furthermore, mutation of the autoregulatory MPREI motifs in TUBG1 and TUBG2 (TUBGR3H) results in a modest increase in γ-tubulin protein levels. This elevation enhances centrosomal γ-tubulin during mitosis, increases microtubule nucleation capacity (as measured by microtubule regrowth after cold treatment), and ultimately reduces mitotic fidelity.

      Major comments:

      1. The authors concluded that tubulin autoregulation-associated mitotic defects are largely driven by elevated γ-tubulin protein levels. However, it is somewhat surprising that such a modest increase in γ-tubulin protein level (1.10-, 1.18-, 1.23-fold in TTC5 KO, TUBGR3H, TTC5 KO+TUBGR3H cells, respectively) leads to chromosome alignment and segregation defects. Given that γ-tubulin is a relatively abundant protein, with only a small fraction localized at centrosomes [PMID: 27539480], it remains unclear whether this magnitude of increase is sufficient to account for the observed mitotic defects. To more directly test whether a modest increase in γ-tubulin is sufficient to impair mitotic fidelity, it would be informative to perform live-cell imaging of γ-tubulin-GFP and chromosomes in cells moderately overexpressing wild-type or R3H γ-tubulin (as in Figure 3A), in the presence and absence of siTUBG1. This approach would help determine whether a comparable increase in γ-tubulin levels is sufficient to induce chromosome missegregation. Alternatively, the authors should consider tempering or revising their conclusion.

      Minor comments:

      1. On page 4, the authors state that measuring TUBG pre-mRNA and mRNA levels allows for distinguishing transcriptional (pre-mRNA) from post-transcriptional (mRNA) regulation, citing reference [33: PMID: 15367667]. While this approach is appropriate, it is unclear why reference [33: PMID: 15367667] is cited here, as it does not appear to directly describe this methodology. Please provide a more relevant reference or clarify the rationale for this citation.
      2. For the immunoprecipitation shown in Fig. 3B, an appropriate negative control is needed. For example, a parental cell line lacking γ-tubulin-FLAG expression should be included to assess background binding.
      3. Comparing γ-tubulin localization at centrosomes between Fig. 3C, D and Fig. 4B, the difference between parental and mutant cell lines (TTC5 KO, TBUGR3H and TTC5KO + TBUGR3H) appears more pronounced in Fig. 4B. It would be helpful if the authors could quantify centrosomal γ-tubulin localization in Fig. 4B to facilitate a direct comparison. In addition, could the authors comment on whether the cold treatment used in Fig. 4B might influence the soluble αβ-tubulin levels? If so, this could potentially enhance tubulin autoregulation in parental cells, leading to reduced γ-tubulin mRNA levels, while this response would be impaired in the mutant cell lines. Such an effect might contribute to the increased difference in centrosomal γ-tubulin observed under these conditions.

      Significance

      The manuscript provides significant and new mechanistic insights into microtubule regulation by identifying γ-tubulin as a target of the microtubule autoregulation pathway. It further suggests a new model that cells coordinately adjust both microtubule building blocks and nucleation capacity in response to changes in soluble tubulin pools through a common molecular machinery. The data are clearly presented, the experiments are rigorous, including the well-controlled cell lines, and the manuscript is well written and easy to follow. Based on its quality, novelty, and significance, I strongly support publication.

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      Referee #2

      Evidence, reproducibility and clarity

      In this manuscript, Assaf et al. address an important question by investigating the post-transcriptional-regulation of gtubulin mediated by the tubulin autoregulation mechanism and its functional role in microtubule nucleation and chromosome segregation. Autoregulation of a/b-tubulin has been shown previously, including by the current authors, but whether other tubulin genes are regulated in a similar manner was unknown. Using cell culture models and treatment with microtubule-destabilising/stabilising drugs, they demonstrate that cells regulate gtubulin levels in response to changes in soluble a-b tubulin levels. This regulation depends on the tubulin autoregulation mechanism that the authors previously identified for a/b-tubulin and the authors identify a similar motif in the N-term of gtubulin that is recognized by TTC5. By using a R3H g-tubulin mutant, which specifically disrupts the binding of TTC5, they examine the consequences of deregulated gtubulin biosynthesis. They showed that loss of g-tubulin mRNA regulation moderately increases overall gtubulin levels, which is nevertheless sufficient to enhance microtubule nucleation and induce mitotic defect.

      Specific points:

      • As pointed out by the authors in the discussion, there needs to be an explanation for how regulating just the mRNA levels of g-tubulin (and not other complex components) can influence the overall protein levels of g-TuRC in order to achieve a functional output for the regulation. The authors provide a nice explanation for when g-tubulin levels drop - this would potentially expose Ubi sites on GCPs that would lead to their ubiquitination and degradation. First, can the authors show that the GCP protein levels are also decreased, like g-tubulin, when they increase the pool of a/b-tubulin dimers? Second, what do the authors think happens when g-tubulin levels are increased? How does this lead to an increase in GCP levels? I don't think this is essential to answer, and certainly not experimentally, but if there is no simple answer then the authors should at least acknowledge this in the discussion.
      • Statistics - In several cases (eg. Fig 3D), the authors compare multiple conditions to one control and use Mann-Whitney or t-tests. The need to use one-way ANOVA with correction for multiple comparisons. This is also true when they compare different conditions to each other, while also comparing to controls. The statistical analysis should be done in a single ANOVA analysis, not with multiple different individual tests. E.g. Fig 4C.
      • N numbers: In many of the experiments, the authors perform 3-4 biological replicates, plotting the value from each replicate e.g. only 3 or 4 values. In Fig 3D and 4C, however, where they examine g-tubulin levels at centrosomes and microtubule nucleation after cold treatment, they plot the individual centrosome values from each of the replicates. Given that there may be variability between the replicates, and the number of centrosomes are not equal between replicates, it would be better to plot the average value from each replicate, which would better match how data is plotted in other experiments. For example, in Figure 4C, perhaps there is not really a significant difference in microtubule nucleation between TTC5 KO and TTC5 KO + TUBGR3H. This result is a bit odd considering the levels of centrosomal g-tubulin are not different (Fig 3D). The authors try to address this in the discussion (without mentioning the result in the results), but I am not fully convinced by their arguments.
      • In the IP shown in Figure 3B, a negative control, such as a construct expressing the FLAG tag alone, is necessary to confirm the specificity of the interactions.
      • In Figure 4B, the authors should include an image that is representative of their quantification. Based on the current image, we would conclude that nucleation is reduced in the TTC5 + TubGR3H condition compared to TubGR3H alone, which is not consistent with the quantification shown in Figure 4C.
      • In Figure S7A, the authors show that all cell lines show similar timing; however, this is not evident from the examples shown in Fig 5B. This is likely because there is a lot of variation in cell division timing and the authors chose to show example images from cells that happened to have different timings. However, this may appear confusing to readers. I t may be better to include the timing graph in the main figure, along with single images to highlight phenotypes (rather than time series for each condition). The time series images could be moved to supplementary.
      • The authors conclude that « partial depletion of g-tubulin restored mitotic fidelity to levels comparable to those of control cells » however in fig 5E, and 5F they only statistically compare the siRNAi control to the siTUBG1 for each genotype (which shows a reduction). But to say that they go back down to control levels, they should also statistically test the difference with the parental siRNAi control.

      Minor comments:

      • Figure 1C : the line above "SCAPER KO" + should be only on the last 2 columns
      • Figure 1E : It would improve clarity if the authors indicated in the figure that the immunoprecipitation was performed using TTC5
      • Figure 5E-F : It is not clear from the graph whether the parental cells were also transfected with the siRNA, although this appears to be the case based on the figure legend.
      • In the legend of Figure S4E, the cell lines appear to be TTC5 KO and TUBGR3H, rather than mutant TTC5 as indicated in the legend

      Significance

      The manuscript is well written, the data is well presented and overall the data supports the conclusions being drawn. The results and conclusions are significant and will be of interest to a broad readership.

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      Referee #1

      Evidence, reproducibility and clarity

      Microtubule nucleation and dynamics are essential for proper microtubule organization and for diverse cellular functions, including cell division. Nucleation is templated by a ring of y-tubulins within the γ-tubulin ring complex (yTuRC) and therefore depends on the cellular availability of γ-tubulin. Nucleation rates are regulated not only by yTuRC activators but also by the pool of soluble αβ-tubulin available for microtubule polymerization. Cellular αβ-tubulin abundance is controlled by a previously identified autoregulatory pathway that fine-tunes αβ-tubulin mRNA stability in response to changes in soluble tubulin levels. Unexpectedly, y-tubulin transcripts were found to be downregulated in parallel with αβ-tubulin under conditions of elevated soluble tubulin, prompting Assaf et al. to investigate whether y-tubulin abundance is regulated by the canonical tubulin autoregulatory mechanism. By combining transcriptomic reanalysis, targeted genetic perturbation, biochemical interaction assays, and functional cell biological approaches, the authors show that γ-tubulin expression is regulated similarly to αβ-tubulin through a post-transcriptional mechanism in response to soluble tubulin levels, identifying the TTC5-SCAPER-CCR4-NOT axis as essential for the decay of γ-tubulin mRNA, as previously shown for αβ-tubulins. The authors also claim tha loss of γ-tubulin mRNA regulation leads to increased γ-tubulin protein levels and enhanced microtubule nucleation, which ultimately affects mitotic fidelity. Interestingly, they show that just subtle changes in γ-tubulin levels are sufficient to compromise mitotic fidelity, suggesting that γ-tubulin-mediated nucleation is a particularly sensitive control point for mitosis.

      Major comments:

      • Interpretation of TUBG2 transcript data (Fig. 1A, Fig. S1): the authors state that "a similar trend was observed for TUBG2, although the changes in transcript levels were more variable across cell lines." Given that TUBG2 mRNA is expressed at very low levels in non-neuronal cells, conclusions drawn from these datasets are inherently less reliable. This is also reflected by the fact that the authors do not pursue TUBG2 regulation further, in contrast to the detailed analysis of TUBG1. In addition, the trends observed for TUBG2 do not appear as consistent as for TUBG1. I therefore suggest toning down claims regarding TUBG2, or clearly stating that these observations are preliminary. If the authors wish to strengthen this point, experiments in neuronal cells - using microtubule-stabilizing or -destabilizing drugs, or cold-induced changes in soluble αβ-tubulin - would be more appropriate to assess TUBG2 regulation.
      • To improve clarity and focus, I suggest reorganizing Figure 1 and Supplementary Figure 1- move TUBG1 transcriptomic data from Fig. S1A to Fig. 1A and TUBG2 data from Fig. 1A to the Supplementary Figures. This would emphasize the main γ-tubulin analyzed throughout the manuscript under conditions of altered soluble αβ-tubulin, while relegating the less robust data to supplementary material. In this context, Fig. 1E could be moved to Fig. S1, while Fig. S1B could be promoted to Fig. 1, as the fold change observed for TUBG1 in rat heart myocardium is relatively large and appears biologically meaningful.
      • The final summary of results section 1concludes that "TUBG mRNA is regulated post-transcriptionally in response to changes in soluble αβ-tubulin levels." While the effects of the drugs used are well characterized, microtubule-targeting agents can differ in magnitude and kinetics across cell types. To fully support this statement, it would be important to directly show that soluble αβ-tubulin levels change under the conditions used, for example by biochemical fractionation (polymerized vs soluble tubulin). If this is not feasible, the conclusion should be softened to state that TUBG mRNA responds to microtubule-stabilizing and -destabilizing treatments, rather than inferred changes in soluble αβ-tubulin.
      • In Figure 2D, the fold change observed for CNOT11 is less pronounced than for other components of the autoregulation pathway, which is somewhat unexpected given its proposed role as the downstream effector. It would be helpful to clarify whether this regulation is specific to CNOT11, or whether other CCR4-NOT subunits might compensate or contribute. Relatedly, in Fig. S2C, the increase in TUBG1 pre-mRNA levels in CNOT11-KO cells - although not statistically significant - suggests that baseline transcription or mRNA stability may already be altred. This raises some uncertainty regarding the specificity of CNOT11 in regulating γ-tubulin mRNA decay. Additional discussion or clarification would strengthen the interpretation.
      • Quantification of centrosomal fluorescence in fgs. 3D, 4C, S5B-C: Centrosomal γ-tubulin and α-tubulin levels are quantified using integrated density measured within a fixed-size circular ROI. Because ROI area is constant, this approach effectively reflects mean fluorescence intensity, rather than total centrosomal content, unless the ROI fully encompasses all centrosomal signal. Given that centrosome size and γ-tubulin spatial distribution may vary between conditions, a brief justification of how the ROI size was chosen, or a control analysis demonstrating robustness to ROI size (beyond fig S6B), would strengthen the conclusions.
      • Fig. 3E: the change in γ-tubulin levels is modest; complementary measurements of global γ-tubulin levels would strengthen this conclusion.
      • In Fig. 4B, the representative TUBG-R3H cell appears not only to nucleate more microtubules, but also to display faster microtubule polymerization. This is unexpected, as this mutation is proposed to specifically affect γ-tubulin regulation rather than αβ-tubulin availability. In contrast, TTC5-KO cells, where both γ-tubulin and αβ-tubulin regulation may be affected, would more intuitively show such a phenotype. This discrepancy makes the quantification in Fig. 4C difficult to reconcile with the representative images, where microtubule regrowth (based on α-tubulin signal) appears highest in TUBG-R3H cells. Additional clarification or discussion would be helpful.

      Minor comments

      1. Introduction: while the authors thoroughly describe how cells respond to excess soluble αβ-tubulin through autoregulation, the manuscript does not address how cells initially sense changes in soluble tubulin levels. Even if this mechanism remains unresolved, briefly acknowledging this conceptual gap or discussing current hypotheses in the field would strengthen the Introduction and better frame the study.
      2. Figures and legends
        • Fig. 1 and Fig. S1 legends: reference 34 should be reference 36; ***p < 0.001 is mentioned but not shown; Fig. S1B should include a reference along with the GEO accession number.
        • The sentence "In line with previous results for TUBB transcripts (Fig. S1D)" is ambiguous. Please clarify whether this refers to previously published data only, newly generated data, or a combination. Similar clarification may be needed for Fig. S1C and S1E.
        • Fig. 1D: please briefly comment on why microtubule stabilization with PTX leads to a slight but significant decrease in pre-mRNA levels.
        • Replace "decay in tubulin autoregulation" with degradation of TUBA and TUBB mRNA.
        • Text where the call for Fig. 2E appears should read: "TUBG1 and TUBB mRNAs following CA4 treatment in TTC5-KO cells..."
        • Fig. 2F-H: use γ-tubulin and β-tubulin instead of TUBB abd TUBG; the positioning of the γ-tubulin nascent chain within the TTC5 pocket is not clearly illustrated based on author's claim: "the γ-tubulin nascent chain appears to be positioned deeper into the TTC5 pocket (Fig. 2F-G)", and an electrostatic interaction between γ-tubulin R3 and TCC5 D225 should be represented in 2H as in 2G to support the claim that "...the key electrostatic interactions (...) are predicted to be maintained...". Overall, these figures may need adjustement or clarification.
        • Fig. S3B: tubulin should be replaced by α-tubulin.
        • Fig. S3B-C: immunoblots should be accompanied by quantification of the five biological replicates.
        • Fig. S4F-G: these results are compelling and could be moved to the main figure.
        • The metaphase plates shown in Fig. 3C appear relatively homogeneous across conditions, which contrasts with the mitotic defects quantified later (e.g. Fig. 5C). Including representative examples with clearer chromosome alignment or segregation errors, particularly for TTC5-KO cells, would better illustrate the reported phenotypes.
        • In Figs. 3D, 4C, 5B-C, 6C, please specify whether each dot represents a single centrosome or the mean of both centrosomes per cell. Ideally, each dot should correspond to the mean value per cell.
        • Fig. 3E: the change in γ-tubulin levels is modest; complementary measurements of global γ-tubulin levels would strengthen this conclusion.
        • Fig. 4B y-axis should specify α-tubulin fluorescence intensity.
      3. Discussion
        • The Discussion would benefit from explicitly acknowledging limitations, such as the relatively - The statement "among γ-TuRC components, only γ-tubulin mRNA is subject to autoregulation" should be rephrased, or additional γ-TuRC subunits should be tested to support this claim.
      4. Methods
        • Consider separating imaging procedures from analysis into distinct sections (e.g., Immunofluorescence and Microscopy data analysis).
        • Correct 2.4 µm (not µM).
        • Clarify ROI selection and background subtraction strategy, as discussed above.
      5. Optional / stylistic
        • Use consistent placement of "n.s." and asterisks in bar plots.
        • Fig. 2A: if CA4 is included in the schematic, it should be mentioned in the legend. Alternatively, the model could depict a generic increase in soluble αβ-tubulin dimers.
        • Fig. S3A may be unnecessary; instead, consider summarizing homology percentages between αβ-tubulin and γ-tubulin, highlighting higher N-terminal and lower C-terminal conservation to further motivate shared autoregulation.

      Significance

      This study extends the concept of tubulin autoregulation beyond αβ-tubulin by identifying γ-tubulin as an additional target of the same post-transcriptional regulatory pathway. By doing so, it highlights a coordinated mechanism that links control of microtubule building blocks with regulation of microtubule nucleation capacity, which is central for maintaining proper microtubule organization and mitotic fidelity. The work therefore contributes to a more integrated view of how cells balance microtubule mass, number, and organization during cell division. The tubulin autoregulation pathway involving TTC5, SCAPER, and the CCR4-NOT complex has been well characterized for αβ-tubulin, and previous studies had already established that γ-tubulin levels are tightly controlled, with both overexpression and depletion leading to mitotic defects. While the extension of this regulatory mechanism to γ-tubulin is important, it builds on existing concepts rather than introducing a fundamentally new regulatory pathway. In this sense, the study refines and extends current knowledge by providing mechanistic insight into how γ-tubulin abundance is regulated. The finding that among γ-TuRC components only γ-tubulin mRNA appears to be subject to autoregulation raises interesting questions regarding the specificity and functional consequences of this selective regulation. Although the work does not introduce a completely novel concept, its detailed analysis of γ-tubulin autoregulation and its functional impact on microtubule nucleation and mitotic fidelity will be of interest to the microtubule and cell division research communities.

      My expertise lies in microtubule nucleation and minus-end regulation, with a focus on γ-TuRC function and the in vitro reconstitution of its regulation and activity.

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