Dynamic human liver proteome atlas reveals functional insights into disease pathways
Lili NiuiD, Philipp Emanuel GeyeriD, Rajat Gupta, Alberto SantosiD, Florian MeieriD, Sophia DolliD, Nicolai J. Wewer AlbrechtseniD, Sabine KleiniD, Cristina OrtiziD, Frank Erhard UschneriD, Robert SchierwageniD, Jonel TrebickaiD, Matthias ManniD
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 serves as spectral library to characterize a human cohort of non-alcoholic steatohepatitis and cirrhosis. Dramatic proteome changes in liver tissue include signatures of stellate cell activation resembling liver cirrhosis and providing functional insights. We built a web-based dashboard application for the interactively exploration of our resource. HighlightsO_LICell-type resolved liver proteome with copy numbers for 10,500 proteins C_LIO_LITime-course of human liver primary cells uncovers functional proteome shifts C_LIO_LIA human cohort study reveals liver proteome changes in NASH and cirrhosis C_LIO_LIAn interactive web portal integrates the results for easy exploration C_LI
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