Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare Young and Old muscles transcriptome profiling (RNA-seq) to optimal high-throughput data analysis;	Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm10) and identified 24799 genes. Among them, 95.7% of the genes displayed the similar expression level in both young and old muscles.2% of genes (501) were significantly up-regulated and 2.3% of genes (584) were significantly down-regulated. p value <0.05. SOURCE: Jie Yin (yinjie@sibcb.ac.cn) -  Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences

Pluto Bioinformatics

GSE78147: Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type Young and Old muscle Transcriptomes