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Status |
Public on Mar 07, 2018 |
Title |
Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type Young and Old muscle Transcriptomes |
Organism |
Mus musculus |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
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.
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Overall design |
Muscle mRNA profiles of 3-month old wild type (WT young) and 20-month old wild type mice (WT Old) were generated by deep sequencing, in triplicate, using Illumina HiSeq 3000.
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Contributor(s) |
Hu P, Yin J, Xu B, Xue L |
Citation(s) |
29717119 |
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Submission date |
Feb 22, 2016 |
Last update date |
May 22, 2019 |
Contact name |
Jie Yin |
E-mail(s) |
yinjie@sibcb.ac.cn
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Organization name |
Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences
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Street address |
320 Yueyang Road
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City |
Shanghai |
ZIP/Postal code |
200031 |
Country |
China |
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Platforms (1) |
GPL21493 |
Illumina HiSeq 3000 (Mus musculus) |
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Samples (4)
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Relations |
BioProject |
PRJNA312777 |
SRA |
SRP070644 |