PLX135395
GSE113165: Age-dependent skeletal muscle transcriptome response to bed rest-induced atrophy
- Organsim human
- Type RNASEQ
- Target gene
- Project ARCHS4
Short-term bed rest is used to simulate muscle disuse in humans. In our previous reports, we found that 5d of bed rest induced a ~4% loss of skeletal muscle mass in OLD (60-79 y) but not YOUNG (18-28 y) subjects. Identifying muscle transcriptional events in response to bed rest and age-related differences will help identify therapeutic targets to offset muscle loss in vulnerable older adult populations. Purpose: To compare the gene transcriptome response between young and older adult skeletal muscle after bed rest and identify a transcriptional program that underlies rapid loss of muscle mass. Methods: RNA was isolated and sequenced (HiSeq, Illumina; DESeq, R) from muscle biopsies obtained from the vastus lateralis of YOUNG (N=9; 22.9 1.1 y, 171.6 2.0 cm, 65.6 4.6 kg) and OLD (N=18; 67.6 1.3 y, 173.7 1.8 cm, 75.7 2.2 kg) men and women before and after five days of bed rest. Results: 551 genes responded similarly and 61 genes were differentially regulated between YOUNG and OLD after bed rest. Out of 61 differentially regulated genes, 51 were altered in YOUNG (42 increased, 9 decreased) to resemble expression levels of OLD baseline values. These genes were unresponsive to bed rest in OLD. Conclusion: Our results indicate that pathways related to cell adhesion and mechanosensing were downregulated more so in OLD than YOUNG (by IPA z-score), A fibrosis and inflammation pathway was altered only in older muscle, and a subset of 51 chronically altered genes in the OLD may describe predisposition to muscle loss. SOURCE: Micah,J,DrummondDrummond Lab The University of Utah
View on GEOView in PlutoKey Features
Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MoreAnalyze and visualize data for this experiment
Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.
Read about post-pipeline analysisView QC data and experiment metadata
View quality control data and experiment metadata for this experiment.
Request import of other GEO data
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team