Dynamic human liver proteome atlas reveals functional insights into disease pathways
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Dynamic human liver proteome atlas reveals functional insights into disease pathways. / 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.
In: Molecular Systems Biology, Vol. 18, No. 5, e10947, 2022.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Dynamic human liver proteome atlas reveals functional insights into disease pathways
AU - Niu, Lili
AU - Geyer, Philipp E.
AU - Gupta, Rajat
AU - Santos, Alberto
AU - Meier, Florian
AU - Doll, Sophia
AU - Wewer Albrechtsen, Nicolai J
AU - Klein, Sabine
AU - Ortiz, Cristina
AU - Uschner, Frank E
AU - Schierwagen, Robert
AU - Trebicka, Jonel
AU - Mann, Matthias
N1 - © 2022 The Authors. Published under the terms of the CC BY 4.0 license.
PY - 2022
Y1 - 2022
N2 - 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).
AB - 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).
KW - Humans
KW - Liver/metabolism
KW - Liver Cirrhosis/metabolism
KW - Non-alcoholic Fatty Liver Disease/metabolism
KW - Proteome/metabolism
KW - Proteomics
U2 - 10.15252/msb.202210947
DO - 10.15252/msb.202210947
M3 - Journal article
C2 - 35579278
VL - 18
JO - Molecular Systems Biology
JF - Molecular Systems Biology
SN - 1744-4292
IS - 5
M1 - e10947
ER -
ID: 310569715