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  1. Last 7 days
  2. Mar 2025
    1. Review coordinated by Life Science Editors Foundation Reviewed by: Dr. Angela Andersen, Life Science Editors Foundation & Life Science Editors. Potential Conflicts of Interest: None.

      PUNCHLINE: Neural differentiation during early human brain development is accompanied by precise and dynamic expression of tRNA-derived fragments (tDRs), revealing a new regulatory layer shaped by tRNA cleavage, modification, and sequence features.

      BACKGROUND: tRNA-derived fragments (tDRs), once considered byproducts of degradation, are now recognized as functional regulators implicated in diverse biological contexts—from metabolic diseases to cancer and neurovascular pathology. For instance, tDR tRF-3001a promotes neurovascular dysfunction in diabetic retinopathy via miRNA-like regulation, CAT1 tDR stabilizes NOTCH2 to drive tumorigenesis, and tRF-Val-CAC-024 tDR enhances glycolysis and metastasis in lung adenocarcinoma. These studies show tDRs can modulate gene expression, protein interactions, and cellular phenotypes. Despite increasing recognition of tDRs in pathology, their roles in normal human development—particularly neurodevelopment—remain poorly understood. This study addresses this gap by profiling tDR expression in human cerebral cortex organoids to explore how tRNA processing and modifications contribute to the emergence of neural cell identity.

      QUESTIONS ADDRESSED: Do tRNA-derived fragments exhibit neural-specific expression patterns during early human brain development?

      What tRNA features (isotypes, sequences, modifications) are associated with tDR enrichment in neural versus stem-like states?

      SUMMARY: By applying ARM-seq (AlkB-facilitated RNA methylation sequencing) to cerebral organoids at progressive stages of cortical development, the authors mapped a dynamic landscape of tDRs. They identified 3′ tDRs from specific tRNA isotypes (e.g., Ala, Gly, Arg, SeC) that are selectively enriched in neurons, while 5′ tDRs dominate in earlier stem-like states. These neural-specific tDRs display conserved sequence motifs, modified nucleotides (e.g., m²²G26, m¹I37), and structured read coverage profiles, suggesting regulated processing rather than stochastic degradation. Clustering analyses revealed distinct tDR expression programs correlated with neural identity and modification signatures. These findings suggest that tRNA processing contributes to the RNA-based regulatory repertoire of human neurodevelopment.

      KEY RESULTS

      Cerebral Organoids Model Human Neurodevelopment The authors validated their organoid model using immunostaining and small RNA profiles, confirming progression from stem cells to radial glia and cortical neurons over a 70-day differentiation period. Neural markers and expected small RNAs (e.g., miR-9, SNORD115) were enriched at late time points.

      tDR Profiles Are Dynamic and Isoform-Specific ARM-seq uncovered widespread and dynamic changes in tDRs across development. Notably, 3′ tDRs from Ala, Gly, and SeC tRNAs increase during neurogenesis, while 5′ tDRs from His, Thr, and Glu decrease. These changes were isodecoder-specific and often involved switch-like transitions in dominant fragment types.

      Neural-Specific tDRs Have Unique Structural Features tDRs enriched in neural samples shared conserved cleavage patterns and modifications. Neural-specific fragments clustered together in UMAP space and showed enrichment for motifs associated with known RNA -modifying enzymes (e.g., TRMT1, PUS3). Sequence conservation at key cleavage sites (e.g., position 40) suggested modified processing routes.

      tDR Clusters Reflect Functional States tDRs grouped into neural-favored, stem-favored, and neutral clusters based on read coverage, modification profiles, and sequence context. These clusters were dominated by specific tRNA isotypes, reinforcing a link between tDR origin and cell state.

      STRENGTHS: First map of neural-specific tDRs in human brain development using an organoid model and optimized small RNA sequencing.

      Combines tRNA modifications and sequence features to explain stage-specific tDR generation.

      Leverages ARM-seq with AlkB treatment to overcome known biases in modified tRNA sequencing.

      Provides mechanistic hypotheses about how sequence motifs and modifications guide selective tDR biogenesis.

      Connects developmental RNA processing to emerging roles of tDRs in disease and physiology, as shown in tRF-3001a, CAT1, and tRF-Val-CAC-024 studies.

      FUTURE WORK: What are the specific targets and functions of neural-enriched tDRs?

      Do RNA modification enzymes like TRMT1 or PUS3 regulate tDR production during neurodevelopment?

      Could dysregulated tDR profiles contribute to neurodevelopmental disorders similar to their roles in diabetic or cancer pathology?

      FINAL TAKEAWAY: This study adds a developmental perspective to the expanding field of tRNA fragmentation biology. It identifies a network of neural-specific tDRs that may play regulatory roles during human brain development. It builds on the concept of tDRs as programmed, functional molecules, highlighting a previously unrecognized layer of RNA-based regulation in neural differentiation—laying the foundation for future studies into how tRNA processing contributes to human brain function and disease.

  3. Nov 2024
    1. Een chunk (letterlijk ‘brok’) is een verzameling elementen die sterke associaties met elkaar hebben. Samen vormen ze een betekenisvolle informatie-eenheid. Die chunks, groot of klein, gebruiken we in ons interne informatieverwerkings- en geheugensysteem. Ons brein houdt namelijk van logica en voorspelbare patronen. Het opdelen van informatie gebeurt automatisch en continu, maar kan ook bewust worden ingezet. Dat heet doel-georiënteerde chunking.Ons brein kan slechts een aantal zaken opslaan in het kortetermijngeheugen. Maar door veel gegevens te groeperen in kleinere brokjes informatie, kunnen we de limieten van ons geheugen uitdagen. En dus meer informatie verwerken en onthouden.

      Chapeau! Een Belgische website kaart dit aan in de context gezond leven.

  4. Aug 2024
    1. the brain is Islam Islam is it is lousy and it is selfish and still it is working yeah look around you working brains wherever you look and the reason for this is that we totally think differently than any kind of digital and computer system you know of and many Engineers from the AI field haven't figured out that massive difference that massive difference yet

      for - comparison - brain vs machine intelligence

      comparison - brain vs machine intelligence - the brain is inferior to machine in many ways - many times slower - much less accurate - network of neurons is mostly isolated in its own local environment, not connected to a global network like the internet - Yet, it is able to perform extraordinary things in spite of that - It is able to create meaning out of sensory inputs - Can we really say that a machine can do this?

    1. for - climate crisis - psychology - wrong approach

      summary - Climate scientist professor Mojib Latif explores why our best efforts at rapid intervention to deal with the climate crisis are failing - Near the end of the program, he interviews professor Henning Beck, a neuroscientist who suggests that human brains have evolved to be rewarded for securing more. - Dopamine is released when we get more and we have not designed our intervention strategies aligned with this basic property of our brains

  5. Sep 2023
    1. The life inside The human gut is an amazing piece of work. Often referred to as the "second brain," it is the only organ to boast its own independent nervous system, an intricate network of 100 million neurons embedded in the gut wall. So sophisticated is this neural network that the gut continues to function even when the primary neural conduit between it and the brain, the vagus nerve, is severed. (Citing the enteric nervous system's autonomy and apparent infallibility, comedian Stephen Colbert once christened the gut "the pope of your torso.")

      Human gut as second brain — Forte, this is the real “second brain”

  6. Aug 2023
    1. Extreme bad behaviour from governments and private companies – GAFAs [Google, Apple, Facebook, Amazon] and the like in China – will create a social and civic innovation to compensate and/or to contribute to an innovation jump. I hope for development of human cooperative brain networks.
      • for: quote, quote - Janet Salmons, quote - human cooperative brain networks, indyweb - support
      • quote
        • Extreme bad behaviour from governments and private companies – GAFAs [Google, Apple, Facebook, Amazon] and the like in China – will create a social and civic innovation to compensate and/or to contribute to an innovation jump. I hope for development of human cooperative brain networks.
      • author: Caroline Figueres
        • strategic consultant
  7. Jul 2023
    1. Researchers from Moscow State University and the Human Brain Institute in St. Petersburg told the Dalai Lama in May that they have examined 104 monks who are simulating meditation states thought to resemble thukdam.
      • comment
        • look for any research on this from the Russian scientists at the Human Brain Institute in St. Petersberg
  8. Dec 2021
  9. Oct 2021