Cited by 173Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and ApplicationsLiver physiology and pathology

Cell-Type-Resolved Quantitative Proteomics of Murine Liver

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Azimifar, S. Babak, Nagaraj, Nagarjuna, Cox, Juergen, Mann, Matthias·2014·Cell Metabolism

Abstract

Mass spectrometry (MS)-based proteomics provides a powerful approach to globally investigate the biological function of individual cell types in mammalian organs. Here, we applied this technology to the in-depth analysis of purified hepatic cell types from mouse. We quantified 11,520 proteins, making this the most comprehensive proteomic resource of any organ to date. Global protein copy number determination demonstrated that a large proportion of the hepatocyte proteome is dedicated to fatty acid and xenobiotic metabolism. We identified as-yet-unknown components of the TGF-β signaling pathway and extracellular matrix in hepatic stellate cells, uncovering their regulative role in liver physiology. Moreover, our high-resolution proteomic data set enabled us to compare the distinct functional roles of hepatic cell types in cholesterol flux, cellular trafficking, and growth factor receptor signaling. This study provides a comprehensive resource for liver biology and biomedicine.

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Crossref · 10.1016/j.cmet.2014.11.002

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  • Data from several large-scale, high-resolution, FDR-controlled cellular proteome projects show coverage saturating at approximately 11,000.

    “This analysis is supported by data from several large scale, high-resolution, FDR-controlled cellular proteome projects, where the coverage saturated at approximately 11,000 (refs. 15,18,45,46).”

    From Cell type- and brain region-resolved mouse brain proteome (2015) · cites this paper as [46]

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References 56 · Cited by 173

Authors
Azimifar, S. B., Nagaraj, N., Cox, J., & Mann, M.
Affiliations
  • Max Planck Institute of Biochemistry (DE)
  • Max Planck Society (DE)
Corresponding author
Mann, Matthias
Venue
Cell Metabolism
Publisher
Elsevier BV
Published
2014-12
Volume
20
Issue
6
Pages
1076-1087
ISSN
1550-4131 (ISSN-L)
OpenAlex
W1967339738
Cited by
173
References
56
Citations by year
2026: 5 · 2025: 16 · 2024: 14 · 2023: 14 · 2022: 15 · 2021: 14 · 2020: 23 · 2019: 16 · 2018: 16 · 2017: 19 · 2016: 14 · 2015: 7
FWCI
5.71
Type
journal article
Language
en
Open access
Locations
  • Cell Metabolism (publishedVersion)
  • PubMed (publishedVersion)
  • Max Planck Digital Library (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
Funders
  • Bundesministerium für Bildung und Forschung
  • Max-Planck-Gesellschaft
Topics
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
  • Health Sciences › Medicine › Hepatology › Liver physiology and pathology
Keywords
liver proteome, hepatocytes, hepatic stellate cells, fatty acid metabolism, xenobiotic metabolism, TGF-beta signaling, extracellular matrix, cholesterol flux, growth factor receptor signaling, cell trafficking, mouse liver
MeSH terms
Animals, Liver, Mass Spectrometry, Proteomics, Mice

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