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  Cell-type-resolved quantitative proteomics of murine liver.

Azimifar, S. B., Nagaraj, N., Cox, J., & Mann, M. (2014). Cell-type-resolved quantitative proteomics of murine liver. Cell metabolism, 20(6), 1076-1087. doi:10.1016/j.cmet.2014.11.002.

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 Urheber:
Azimifar, S. Babak1, Autor           
Nagaraj, Nagarjuna1, Autor           
Cox, Juergen1, Autor           
Mann, Matthias1, Autor           
Affiliations:
1Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              

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 Zusammenfassung: 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-beta 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. Copyright 2014 Elsevier Inc. All rights reserved.

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Sprache(n): eng - English
 Datum: 2014
 Publikationsstatus: Erschienen
 Seiten: 12
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: ISI: 25470552
DOI: 10.1016/j.cmet.2014.11.002
 Art des Abschluß: -

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Titel: Cell metabolism
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 20 (6) Artikelnummer: - Start- / Endseite: 1076 - 1087 Identifikator: ISSN: 1932-7420