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E-GEOD-61404

ABSTRACT: mRNA Expression Changes with Cofilin-2 Deficiency

PROVIDER: E-GEOD-61404 | ExpressionAtlas | 2015-09-21

REPOSITORIES: ExpressionAtlas

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			Action	DRS
	E-GEOD-61404-analysis-methods.tsv	Tabular
	E-GEOD-61404-atlasExperimentSummary.Rdata	Rdata
	E-GEOD-61404-configuration.xml	Xml
	E-GEOD-61404-percentile-ranks.tsv	Tabular
	E-GEOD-61404.condensed-sdrf.tsv	Tabular

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Changes in Protein Fluxes in Skeletal Muscle During Sequential Stages of Muscle Regeneration After Acute Injury in Male Mice

Project description:Background Changes in protein turnover play an important role in dynamic physiological processes, including skeletal muscle regeneration, which occurs as an essential part of tissue repair after injury. The inability of muscle tissue to recapitulate this regenerative process can lead to pathology and clinical symptoms in various musculoskeletal diseases, including muscular dystrophies and pathological atrophy. Methods Here, we employed a workflow that couples deuterated water (2H2O) administration with tandem mass spectrometry (MS) to systematically measure in-vivo protein turnover rates across the muscle proteome in 8-week-old male C57BL6/J mice. We compared the turnover kinetics of over 100 proteins in response to cardiotoxin (CTX) induced muscle damage and regeneration at unique sequential stages along the regeneration timeline. This analysis is compared to gene expression data from mRNA-sequencing (mRNA-seq) from the same tissue. Results The data reveals quantitative protein flux signatures in response to necrotic damage, in addition to sequential differences in cell proliferation, energy metabolism, and contractile gene expression. Interestingly, the mRNA changes correlated poorly with changes in protein synthesis rates, consistent with post-transcriptional control mechanisms.	 Conclusions In summary, the experiments described here reveal the signatures and timing of protein flux changes during skeletal muscle regeneration, as well as the inability of mRNA expression measurements to reveal changes in directly measured protein turnover rates. The results of this work described here provide a better understanding of the muscle regeneration process and could help to identify potential biomarkers or therapeutic targets.

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Changes in Protein Fluxes in Skeletal Muscle During Sequential Stages of Muscle Regeneration After Acute Injury in Male Mice

Project description:Background - Changes in protein turnover play an important role in dynamic physiological processes, including skeletal muscle regeneration, which occurs as an essential part of tissue repair after injury. The inability of muscle tissue to recapitulate this regenerative process can lead to pathology and clinical symptoms in various musculoskeletal diseases, including muscular dystrophies and pathological atrophy. Methods - Here, we employed a workflow that couples deuterated water (2H2O) administration with tandem mass spectrometry (MS) to systematically measure in-vivo protein turnover rates across the muscle proteome in 8-week-old male C57BL6/J mice. We compared the turnover kinetics of over 100 proteins in response to cardiotoxin (CTX) induced muscle damage and regeneration at unique sequential stages along the regeneration timeline. This analysis is compared to gene expression data from mRNA-sequencing (mRNA-seq) from the same tissue. Results - The data reveals quantitative protein flux signatures in response to necrotic damage, in addition to sequential differences in cell proliferation, energy metabolism, and contractile gene expression. Interestingly, the mRNA changes correlated poorly with changes in protein synthesis rates, consistent with post-transcriptional control mechanisms.	 Conclusions - In summary, the experiments described here reveal the signatures and timing of protein flux changes during skeletal muscle regeneration, as well as the inability of mRNA expression measurements to reveal changes in directly measured protein turnover rates. The results of this work described here provide a better understanding of the muscle regeneration process and could help to identify potential biomarkers or therapeutic targets.

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