Literature DB >> 18398877

A proteome map of murine heart and skeletal muscle.

Katy Raddatz1, Dirk Albrecht, Falko Hochgräfe, Michael Hecker, Michael Gotthardt.   

Abstract

The balance of hypertrophy and atrophy is critical for the adaptation of cardiac and skeletal muscle mass to the demands of the environment and when deregulated can cause disease. Here we have used a proteomics approach to generate protein reference maps for the mouse heart and skeletal muscle, which provide a molecular basis for future functional and pathophysiological studies. The reference map provides information on molecular mass, pI, and literature data on function and localization, to facilitate the identification of proteins based on their migration in 2-D gels. In total, we have identified 351 cardiac and 284 skeletal muscle protein spots, representing 249 and 214 different proteins, respectively. In addition, we have visualized the protein pattern of mouse heart and skeletal muscle at defined conditions comparing knockout (KO) animals deficient in the sarcomeric protein titin (a genetic atrophy model) and control littermates. We found 20 proteins that were differently expressed linking titin's kinase region to the heat-shock- and proteasomal stress response. Taken together, the established reference maps should provide a suitable tool to relate protein expression and PTM to cardiovascular and skeletal muscle disease using the mouse as an animal model.

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Year:  2008        PMID: 18398877     DOI: 10.1002/pmic.200700902

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


  12 in total

1.  Use of quantitative membrane proteomics identifies a novel role of mitochondria in healing injured muscles.

Authors:  Nimisha Sharma; Sushma Medikayala; Aurelia Defour; Sree Rayavarapu; Kristy J Brown; Yetrib Hathout; Jyoti K Jaiswal
Journal:  J Biol Chem       Date:  2012-07-09       Impact factor: 5.157

2.  Epitranscriptional orchestration of genetic reprogramming is an emergent property of stress-regulated cardiac microRNAs.

Authors:  Yuanxin Hu; Scot J Matkovich; Peter A Hecker; Yan Zhang; John R Edwards; Gerald W Dorn
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-12       Impact factor: 11.205

3.  Proteomic changes in the heart of diet-induced pre-diabetic mice.

Authors:  Diana Cruz-Topete; Edward O List; Shigeru Okada; Bruce Kelder; John J Kopchick
Journal:  J Proteomics       Date:  2011-02-24       Impact factor: 4.044

4.  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

5.  Direct and indirect involvement of microRNA-499 in clinical and experimental cardiomyopathy.

Authors:  Scot J Matkovich; Yuanxin Hu; William H Eschenbacher; Lisa E Dorn; Gerald W Dorn
Journal:  Circ Res       Date:  2012-06-29       Impact factor: 17.367

6.  Proteomic Profiling of the Dystrophin-Deficient MDX Heart Reveals Drastically Altered Levels of Key Metabolic and Contractile Proteins.

Authors:  Caroline Lewis; Harald Jockusch; Kay Ohlendieck
Journal:  J Biomed Biotechnol       Date:  2010-05-23

7.  Skeletal muscle proteomics: current approaches, technical challenges and emerging techniques.

Authors:  Kay Ohlendieck
Journal:  Skelet Muscle       Date:  2011-02-01       Impact factor: 4.912

8.  Simultaneous Pathoproteomic Evaluation of the Dystrophin-Glycoprotein Complex and Secondary Changes in the mdx-4cv Mouse Model of Duchenne Muscular Dystrophy.

Authors:  Sandra Murphy; Michael Henry; Paula Meleady; Margit Zweyer; Rustam R Mundegar; Dieter Swandulla; Kay Ohlendieck
Journal:  Biology (Basel)       Date:  2015-06-10

Review 9.  Proteomic profiling of the dystrophin-deficient mdx phenocopy of dystrophinopathy-associated cardiomyopathy.

Authors:  Ashling Holland; Kay Ohlendieck
Journal:  Biomed Res Int       Date:  2014-03-20       Impact factor: 3.411

Review 10.  MicroRNAs in the Stressed Heart: Sorting the Signal from the Noise.

Authors:  Scot J Matkovich
Journal:  Cells       Date:  2014-08-05       Impact factor: 6.600

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