Dynamic human liver proteome atlas reveals functional insights into disease pathways

被引:21
|
作者
Niu, Lili [1 ,2 ]
Geyer, Philipp E. [2 ,9 ]
Gupta, Rajat [1 ,10 ]
Santos, Alberto [1 ,3 ,4 ]
Meier, Florian [2 ,11 ]
Doll, Sophia [2 ,9 ]
Albrechtsen, Nicolai J. Wewer [1 ,5 ]
Klein, Sabine [6 ,7 ]
Ortiz, Cristina [6 ]
Uschner, Frank E. [6 ,7 ]
Schierwagen, Robert [6 ,7 ]
Trebicka, Jonel [6 ,7 ,8 ]
Mann, Matthias [1 ,2 ]
机构
[1] Univ Copenhagen, Novo Nordisk Fdn Ctr Prot Res, Fac Hlth & Med Sci, Copenhagen, Denmark
[2] Max Planck Inst Biochem, Dept Prote & Signal Transduct, Martinsried, Germany
[3] Univ Copenhagen, Fac Hlth Sci, Ctr Hlth Data Sci, Copenhagen, Denmark
[4] Univ Oxford, Big Data Inst, Nuffield Dept Med, Oxford, England
[5] Univ Copenhagen, Rigshosp, Dept Clin Biochem, Copenhagen, Denmark
[6] Goethe Univ Clin Frankfurt, Dept Internal Med 1, Frankfurt, Germany
[7] WW Univ Munster, Dept Internal Med B, Munster, Germany
[8] European Fdn Study Chron Failure, EFCLIF, Barcelona, Spain
[9] OmicEra Diagnost GmbH, Planegg, Germany
[10] Pfizer Worldwide Res & Dev, San Diego, CA USA
[11] Jena Univ Hosp, Funct Prote, Jena, Germany
关键词
clinical proteomics; liver disease; liver fibrosis; MS-based proteomics; tissue proteome atlas; HEPATIC STELLATE CELLS; REDUCES PORTAL PRESSURE; ATP SYNTHASE; COPY-NUMBER; FIBROSIS; INFLAMMATION; PNPLA3; RISK; TRANSCRIPTOMICS; MACROPHAGES;
D O I
10.15252/msb.202210947
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 ().
引用
收藏
页数:24
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