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Deep Proteomics of Mouse Skeletal Muscle Enables Quantitation of Protein Isoforms, Metabolic Pathways, and Transcription Factors*
Atul Shahaji Deshmukh, Marta Murgia, Nagarjuna Nagaraj, Jonas T. Treebak, Jürgen Cox, Matthias Mann
Molecular & Cellular Proteomics · 2015 · ▲ 280 citations
Abstract
Skeletal muscle constitutes 40% of individual body mass and plays vital roles in locomotion and whole-body metabolism. Proteomics of skeletal muscle is challenging because of highly abundant contractile proteins that interfere with detection of regulatory proteins. Using a state-of-the art MS workflow and a strategy to map identifications from the C2C12 cell line model to tissues, we identified a total of 10,218 proteins, including skeletal muscle specific transcription factors like myod1 and myogenin and circadian clock proteins. We obtain absolute abundances for proteins expressed in a muscle cell line and skeletal muscle, which should serve as a valuable resource. Quantitation of protein isoforms of glucose uptake signaling pathways and in glucose and lipid metabolic pathways provides a detailed metabolic map of the cell line compared with tissue. This revealed unexpectedly complex regulation of AMP-activated protein kinase and insulin signaling in muscle tissue at the level of enzyme isoforms.
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- 10.1074/mcp.m114.044222
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- 2026-10-14 MST
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APA
Deshmukh, A.S., Murgia, M., Nagaraj, N., Treebak, J.T., Cox, J., & Mann, M. (2015). Deep Proteomics of Mouse Skeletal Muscle Enables Quantitation of Protein Isoforms, Metabolic Pathways, and Transcription Factors*. <em>Molecular & Cellular Proteomics</em>. https://doi.org/10.1074/mcp.m114.044222
Vancouver
Deshmukh AS, Murgia M, Nagaraj N, Treebak JT, Cox J, Mann M. Deep Proteomics of Mouse Skeletal Muscle Enables Quantitation of Protein Isoforms, Metabolic Pathways, and Transcription Factors*. Molecular & Cellular Proteomics. 2015. doi:10.1074/mcp.m114.044222.
BibTeX
@article{atul2015DeepPr,
title = {Deep Proteomics of Mouse Skeletal Muscle Enables Quantitation of Protein Isoforms, Metabolic Pathways, and Transcription Factors*},
author = {Atul Shahaji Deshmukh and Marta Murgia and Nagarjuna Nagaraj and Jonas T. Treebak and Jürgen Cox and Matthias Mann},
journal = {Molecular & Cellular Proteomics},
year = {2015},
doi = {10.1074/mcp.m114.044222},
}
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