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.
Transcriptome
Proteome
Cardiac and skeletal muscle
Author
C. Lindskog
Uppsala Universitet
J. Linne
Uppsala Universitet
L. Fagerberg
AlbaNova University Center
B. M. Hallstrom
AlbaNova University Center
C. J. Sundberg
Karolinska Institutet
M. Lindholm
Karolinska Institutet
M. Huss
Stockholms universitet
C. Kampf
Uppsala Universitet
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
University of Uppsala Rudbeck Laboratory
F. Ponten
Uppsala Universitet
M. Uhlen
David Geffen School of Medicine at UCLA
AlbaNova University Center
BMC Genomics
1471-2164 (ISSN)
Vol. 16 1 475Areas of Advance
Life Science Engineering (2010-2018)
Subject Categories (SSIF 2011)
Genetics and Breeding
DOI
10.1186/s12864-015-1686-y
PubMed
26109061