Deep proteomics of mouse skeletal muscle enables quantitation of protein isoforms, metabolic pathways and transcription factors
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Deep proteomics of mouse skeletal muscle enables quantitation of protein isoforms, metabolic pathways and transcription factors. / Deshmukh, Atul S; Murgia, Marta; Nagaraja, Nagarjuna; Treebak, Jonas Thue; Cox, Jurgen; Mann, Matthias.
In: Molecular and Cellular Proteomics, Vol. 14, No. 4, 04.2015, p. 841-853.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Deep proteomics of mouse skeletal muscle enables quantitation of protein isoforms, metabolic pathways and transcription factors
AU - Deshmukh, Atul S
AU - Murgia, Marta
AU - Nagaraja, Nagarjuna
AU - Treebak, Jonas Thue
AU - Cox, Jurgen
AU - Mann, Matthias
N1 - Copyright © 2015, The American Society for Biochemistry and Molecular Biology.
PY - 2015/4
Y1 - 2015/4
N2 - Skeletal muscle constitutes 40% of individual body mass and plays vital roles in locomotion and whole-body metabolism. Proteomics of skeletal muscle is challenging due to highly abundant contractile proteins that interfere with detection of regulatory proteins. Using a state-of-the art mass spectrometric (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 compare to tissue. This revealed unexpectedly complex regulation of AMP-activated protein kinase and insulin signaling in muscle tissue at the level of enzyme isoforms.
AB - Skeletal muscle constitutes 40% of individual body mass and plays vital roles in locomotion and whole-body metabolism. Proteomics of skeletal muscle is challenging due to highly abundant contractile proteins that interfere with detection of regulatory proteins. Using a state-of-the art mass spectrometric (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 compare to tissue. This revealed unexpectedly complex regulation of AMP-activated protein kinase and insulin signaling in muscle tissue at the level of enzyme isoforms.
U2 - 10.1074/mcp.M114.044222
DO - 10.1074/mcp.M114.044222
M3 - Journal article
C2 - 25616865
VL - 14
SP - 841
EP - 853
JO - Molecular and Cellular Proteomics
JF - Molecular and Cellular Proteomics
SN - 1535-9476
IS - 4
ER -
ID: 130636173