Next Generation Sequencing Facilitates Quantitative Analysis of SCs in mice exposure to exercise
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE128651
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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. 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:
2020-06-08



