4.3 Article

Secretome profiling Of primary human skeletal muscle cells

期刊

出版社

ELSEVIER
DOI: 10.1016/j.bbapap.2013.08.004

关键词

Myokine; Combined proteomic profiling; Two-dimensional gel electrophoresis; Mass spectrometry

资金

  1. Helmholtz Alliance ICEMED-Imaging and Curing Environmental Metabolic Diseases, through the Initiative and Network Fund of the Helmholtz Association
  2. Leibniz Gemeinschaft [SAW-FBN2013-3]
  3. German Federal Ministry of Education and Research (BMBF)
  4. Commission of the European Communities [HEALTH-F2-2008-201100]
  5. Deutsche Forschungsgemeinschaft [EC 440/1-1]

向作者/读者索取更多资源

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. (C) 2013 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据