Literature DB >> 17722207

Proteome map of the normal murine ventricular myocardium.

Lien Lam1, Jonathan Arthur, Christopher Semsarian.   

Abstract

Cardiovascular disease is the leading cause of morbidity and mortality in developed countries. The underlying mechanisms involved in cardiac dysfunction and heart failure are poorly understood. In this study, 2-DE was utilised to map, for the first time, proteins of normal, nonfailing mouse ventricular tissues to form a basis for future comparative analysis of mouse models with cardiovascular disorders. Proteins were obtained from ventricles of C57BL6 mice, aged 18 wk, and separated by 2-DE. A total of 150 protein spots, corresponding to 77 distinct proteins, were identified by MALDI-TOF MS. The proteins identified in mouse ventricles covered a wide range of biological processes (e.g. cell cycle, muscle contraction and signal transduction), with the majority of proteins contributing to cardiomyocyte energetics and cell structure. This 2-D gel map of mouse myocardial proteins will be an invaluable tool in proteomic research for the detection of protein changes and identifying cardiac biomarkers of cardiovascular disease.

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Year:  2007        PMID: 17722207     DOI: 10.1002/pmic.200700312

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  3 in total

1.  Proteome reference map and regulation network of neonatal rat cardiomyocyte.

Authors:  Zi-jian Li; Ning Liu; Qi-de Han; You-yi Zhang
Journal:  Acta Pharmacol Sin       Date:  2011-08-15       Impact factor: 6.150

2.  Published and perished? The influence of the searched protein database on the long-term storage of proteomics data.

Authors:  Johannes Griss; Richard G Côté; Christopher Gerner; Henning Hermjakob; Juan Antonio Vizcaíno
Journal:  Mol Cell Proteomics       Date:  2011-06-23       Impact factor: 5.911

3.  Proteomic analysis of metabolic, cytoskeletal and stress response proteins in human heart failure.

Authors:  Weiming Li; Rong Rong; Sheng Zhao; Xiaoming Zhu; Ke Zhang; Xin Xiong; Xueqing Yu; Qinghua Cui; Shuqiang Li; Li Chen; Jun Cai; Jie Du
Journal:  J Cell Mol Med       Date:  2012-01       Impact factor: 5.310

  3 in total

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