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Hartwig, S.* ; Raschke, S.* ; Knebel, B.* ; Scheler, M. ; Irmler, M. ; Passlack, W.* ; Müller, S.* ; Hanisch, F.-G.* ; Franz, Z.* ; Li, X.* ; Dicken, H.D.* ; Eckardt, K.* ; Beckers, J. ; Hrabě de Angelis, M. ; Weigert, C. ; Häring, H.-U. ; Al-Hasani, H.* ; Ouwens, D.M.* ; Eckel, J.* ; Kotzka, J.* ; Lerch, S.*

Secretome profiling of primary human skeletal muscle cells.

Biochim. Biophys. Acta-Proteins Proteom. 1844, 1011-1017 (2013)
Postprint DOI PMC
Open Access Green
The skeletal muscle is a metabolically active tissue that secretes various proteins. These so-called myokines have been proposed to affect muscle physiology and to exert systemic effects on other tissues and organs. Yet, changes in the secretory profile may participate in the pathophysiology of metabolic diseases. The present study aimed at characterizing the secretome of differentiated primary human skeletal muscle cells (hSkMC) derived from healthy, adult donors combining three different mass spectrometry based non-targeted approaches as well as one antibody based method. This led to the identification of 548 non-redundant proteins in conditioned media from hSkmc. For 501 proteins, significant mRNA expression could be demonstrated. Applying stringent consecutive filtering using SignalP, SecretomeP and ER_retention signal databases, 305 proteins were assigned as potential myokines of which 12 proteins containing a secretory signal peptide were not previously described. This comprehensive profiling study of the human skeletal muscle secretome expands our knowledge of the composition of the human myokinome and may contribute to our understanding of the role of myokines in multiple biological processes. This article is part of a Special Issue entitled: Biomarkers: A Proteomic Challenge.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Combined proteomic profiling; Mass spectrometry; Myokine; Two-dimensional gel electrophoresis; Protein; Differentiation; Expression; Identification; Metabolism; Exercise; Service; Cancer
Sprache englisch
Veröffentlichungsjahr 2013
HGF-Berichtsjahr 2013
ISSN (print) / ISBN 1570-9639
e-ISSN 1878-1454
Quellenangaben Band: 1844, Heft: 5, Seiten: 1011-1017 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Amsterdam
Begutachtungsstatus Peer reviewed
POF Topic(s) 30201 - Metabolic Health
90000 - German Center for Diabetes Research
Forschungsfeld(er) Genetics and Epidemiology
Helmholtz Diabetes Center
PSP-Element(e) G-500600-003
G-502400-001
G-500600-004
G-501900-063
G-501900-064
G-501900-065
PubMed ID 23994228
Scopus ID 84898597795
Erfassungsdatum 2013-09-05