- Feb 2025
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www.biorxiv.org www.biorxiv.org
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Uncovering secrets of the proteome: Alternate RNA decoding & Protein asymmetry shaping cell fate
This presentation "Uncovering the secrets of the human proteome" was given in May 2024 at the 50th anniversary celebration of the Barnett Institute. It focused on progress in proteomics and two new discoveries: 1. Alternate RNA decoding results in stable and abundant proteins in mammals 2. Proteome asymmetry in mouse and human embryos before fate specification
The vastness and complexity of the human proteome have hampered its exploration. New mass spectrometry technologies are transcending those limitations and allowing for large gains in sensitivity, sequence coverage, spatial and temporal resolution. I will discuss the conceptual drivers of this progress and provide examples of how it will advance our understanding of the human proteome and enable better therapeutics.
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- Feb 2022
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www.biorxiv.org www.biorxiv.org
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High-throughput single-cell proteomics quantifies the emergence of macrophage heterogeneity | SCP2019 https://youtu.be/NNLh4nE687I
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www.biorxiv.org www.biorxiv.org
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Optimizing single-cell analysis of proteins and RNAs | Nikolai Slavov | SCP2020 https://youtu.be/LkNMskjxYXA
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www.biorxiv.org www.biorxiv.org
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Droplet sample preparation for single-cell proteomics | Andrew Leduc | SCP202 https://youtu.be/DJ1U_KpMNcY
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- Aug 2020
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www.sciencedirect.com www.sciencedirect.com
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Xu, G., Qi, F., Li, H., Yang, Q., Wang, H., Wang, X., Liu, X., Zhao, J., Liao, X., Liu, Y., Amit, I., Liu, L., Zhang, S., & Zhang, Z. (2020). The differential immune responses to COVID-19 in peripheral and lung revealed by single-cell RNA sequencing. MedRxiv, 2020.08.15.20175638. https://doi.org/10.1101/2020.08.15.20175638
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- May 2019
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www.proteinatlas.org www.proteinatlas.org
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annotation parameters include an evaluation of i) staining intensity (negative, weak, moderate or strong), ii) fraction of stained cells (rare, <25%, 25-75% or >75%) and iii) subcellular localization (nuclear and/or cytoplasmic/membranous).
How are the expression levels for tissues derived from the primary annotations?
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For cancer tissues, two cores are sampled from each individual and protein expression is annotated in tumor cells.
Tags
Annotators
URL
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- Oct 2016
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biocontainers.pro biocontainers.pro
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blast
BLAST finds regions of similarity between biological sequences. The program compares nucleotide or protein sequences to sequence databases and calculates the statistical significance.
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