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Identification of Candidate Genes for Skeletal Muscle Injury Prevention in Two Different Types

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单位: [1]Fujian Prov Hosp, 32nd Ward, Emergency Surg, Fuzhou, Fujian, Peoples R China [2]Huazhong Univ Sci & Technol,Dept Orthoped,Tongji Hosp,Tongji Med Coll,1095 Jiefang Ave,Wuhan 430030,Hubei,Peoples R China
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关键词: contraction-induced injury expression pattern freezing injury skeletal muscle injury two-way clustering

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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.

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出版当年[2018]版:
大类 | 4 区 生物
小类 | 3 区 统计学与概率论 4 区 生化研究方法 4 区 生物工程与应用微生物 4 区 计算机:跨学科应用 4 区 数学与计算生物学
最新[2025]版:
大类 | 4 区 生物学
小类 | 4 区 生化研究方法 4 区 生物工程与应用微生物 4 区 计算机:跨学科应用 4 区 数学与计算生物学 4 区 统计学与概率论
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出版当年[2017]版:
Q2 STATISTICS & PROBABILITY Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q4 BIOCHEMICAL RESEARCH METHODS Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
最新[2023]版:
Q2 STATISTICS & PROBABILITY Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q4 BIOCHEMICAL RESEARCH METHODS Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

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第一作者单位: [1]Fujian Prov Hosp, 32nd Ward, Emergency Surg, Fuzhou, Fujian, Peoples R China
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