Citation

Li Q, Luo Z. J. Comput. Biol. 2019; ePub(ePub): ePub.

Affiliation

2 Department of Orthopedics, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.

Copyright

(Copyright © 2019, http://online.liebertpub.com/loi/cmb, Publisher Mary Ann Liebert)

DOI

10.1089/cmb.2019.0022

PMID

31120330

Abstract

The study aims to uncover mechanisms on repair process of two different types of skeletal muscle injuries, freezing injury (FI) and contraction-induced injury (CI). GSE5413 was utilized, including 11 eccentric CI, 11 FI, and 3 control samples at 4 time points (6 hours, 1 day, 3 days, and 7 days after injury). Differentially expressed genes (DEGs) separately were selected in FI and CI. Correlation analysis of samples at different time points was performed. Clustering analysis was conducted for DEGs in FI and CI, respectively. Moreover, enrichment analysis and protein/protein interaction network analysis were performed for the specific DEGs. There were 616 and 465 DEGs separately in FI and CI samples. For both FI and CI, samples between 6 hours and 1 day, and between 3 and 7 days, had a close distance. DEGs in FI and CI separately were enriched in leukocyte transendothelial migration (e.g., ICAM1 [intercellular adhesion molecule 1], ITGAM, MMP9) and protein processing in endoplasmic reticulum pathway (e.g., HSPH1, HSP90AA1). In addition, MMP9 (matrix metallopeptidase 9) and ITGAM, and MYC, HSPA1B, and HSPA1A were hub nodes in the networks in FI and CI, respectively. ICAM1, ITGAM, and MMP9 in FI, and MYC and HSP70 family members in CI were biomarkers for injury prevention.

Language: en

Keywords

contraction-induced injury; expression pattern; freezing injury; skeletal muscle injury; two-way clustering