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Dynamic human liver proteome atlas reveals functional insights into disease pathways
Author(s) -
Niu Lili,
Geyer Philipp E,
Gupta Rajat,
Santos Alberto,
Meier Florian,
Doll Sophia,
Wewer Albrechtsen Nicolai J,
Klein Sabine,
Ortiz Cristina,
Uschner Frank E,
Schierwagen Robert,
Trebicka Jonel,
Mann Matthias
Publication year - 2022
Publication title -
molecular systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.523
H-Index - 148
ISSN - 1744-4292
DOI - 10.15252/msb.202210947
Subject(s) - conceptualization , library science , proteome , biology , bioinformatics , computer science , artificial intelligence
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 ).

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