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Next Generation Sequencing Facilitates Quantitative Analysis of SCs in mice exposure to exercise

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NIAID Data Ecosystem2026-04-25 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP189039
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Purpose:To identify genes and the molecular pathways involved in the regulation of muscle satellite cells (SCs) in mice exposure to running exercise, we performed RNA-Sequence of SCs in untrained (Con) and trained mice (Exe). Methods: mRNA profiles of SCs in untrained (Con) and trained mice (Exe) (running exercise, 4 days/week, 30 min/day at 12 m/min) were generated by deep sequencing, in quadruplicate, using Illumina HiSeq 2000. Results:Using an optimized data analysis workflow, we mapped about 9 million sequence reads per sample to the mouse genome (build mm10) and identified 9031 transcripts in SCs (the control and exercise group) with BWA workflow. Conclusions: Our results represent the first detailed analysis of SCs transcriptomes in mice exposure to running exercise and found that exercise regulated multiple mRNA pathways in SCs. Overall design: The mRNA profiles of SCs in untrained and trained mice were generated by deep sequencing, in quadruplicate, using Illumina HiSeq 2000.
创建时间:
2020-06-09
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