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Dynamic human liver proteome atlas reveals functional insights into disease pathways

Abstract:
Deeper understanding of liver pathophysiology would benefit from a comprehensive quantitative proteome resource at cell type resolution to predict outcome and design therapy. Here, we quantify more than 150,000 sequence‐unique peptides aggregated into 10,000 proteins across total liver, the major liver cell types, time course of primary cell cultures, and liver disease states. Bioinformatic analysis reveals that half of hepatocyte protein mass is comprised of enzymes and 23% of mitochondrial proteins, twice the proportion of other liver cell types. Using primary cell cultures, we capture dynamic proteome remodeling from tissue states to cell line states, providing useful information for biological or pharmaceutical research. Our extensive data serve as spectral library to characterize a human cohort of non‐alcoholic steatohepatitis and cirrhosis. Dramatic proteome changes in liver tissue include signatures of hepatic stellate cell activation resembling liver cirrhosis and providing functional insights. We built a web‐based dashboard application for the interactive exploration of our resource (www.liverproteome.org).
Publication status:
Published
Peer review status:
Peer reviewed

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Role:
Author
ORCID:
0000-0003-4571-4368
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Institution:
University of Oxford
Department:
Big Data Institute
Role:
Author


Publisher:
Springer
Journal:
Molecular Systems Biology More from this journal
Volume:
18
Issue:
5
Article number:
MSB202210947
Publication date:
2022-05-17
Acceptance date:
2022-04-28
DOI:
EISSN:
1744-4292


Language:
English
Keywords:
Pubs id:
1488921
Local pid:
pubs:1488921
Source identifiers:
2363706
Deposit date:
2024-10-24
ARK identifier:
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