The human cardiac and skeletal muscle proteomes defined by transcriptomics and antibody-based profiling
Journal article, 2015

Background: To understand cardiac and skeletal muscle function, it is important to define and explore their molecular constituents and also to identify similarities and differences in the gene expression in these two different striated muscle tissues. Here, we have investigated the genes and proteins with elevated expression in cardiac and skeletal muscle in relation to all other major human tissues and organs using a global transcriptomics analysis complemented with antibody-based profiling to localize the corresponding proteins on a single cell level. Results: Our study identified a comprehensive list of genes expressed in cardiac and skeletal muscle. The genes with elevated expression were further stratified according to their global expression pattern across the human body as well as their precise localization in the muscle tissues. The functions of the proteins encoded by the elevated genes are well in line with the physiological functions of cardiac and skeletal muscle, such as contraction, ion transport, regulation of membrane potential and actomyosin structure organization. A large fraction of the transcripts in both cardiac and skeletal muscle correspond to mitochondrial proteins involved in energy metabolism, which demonstrates the extreme specialization of these muscle tissues to provide energy for contraction. Conclusions: Our results provide a comprehensive list of genes and proteins elevated in striated muscles. A number of proteins not previously characterized in cardiac and skeletal muscle were identified and localized to specific cellular subcompartments. These proteins represent an interesting starting point for further functional analysis of their role in muscle biology and disease.

Proteome

Cardiac and skeletal muscle

Transcriptome

Author

C. Lindskog

Uppsala University

J. Linne

Uppsala University

L. Fagerberg

AlbaNova University Center

B. M. Hallstrom

AlbaNova University Center

C. J. Sundberg

Karolinska Institutet

M. Lindholm

Karolinska Institutet

M. Huss

Stockholm University

C. Kampf

Uppsala University

H. Choi

David Geffen School of Medicine at UCLA

D. A. Liem

David Geffen School of Medicine at UCLA

P. P. Ping

David Geffen School of Medicine at UCLA

Leif Wigge

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Adil Mardinoglu

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Jens B Nielsen

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

E. G. Larsson

Uppsala University

F. Ponten

Uppsala University

M. Uhlen

David Geffen School of Medicine at UCLA

AlbaNova University Center

BMC Genomics

1471-2164 (ISSN)

Vol. 16 1 475

Areas of Advance

Life Science Engineering (2010-2018)

Subject Categories

Genetics and Breeding

DOI

10.1186/s12864-015-1686-y

PubMed

26109061

More information

Latest update

4/10/2019