ArticleFrontiers in genetics2021
Investigating Transcriptional Dynamics Changes and Time-Dependent Marker Gene Expression in the Early Period After Skeletal Muscle Injury in Rats.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A rat muscle contusion model created by a modified drop-mass method using ultrasound.Bone & joint research · 2026Article
- Transcriptomic gene signatures measure satellite cell activity in muscular dystrophies.iScience · 2024Article
- Genetic regulation of injury-induced heterotopic ossification in adult zebrafish.Disease models & mechanisms · 2024Article
- Article
- Combined metabolomics and tandem machine-learning models for wound age estimation: a novel analytical strategy.Forensic sciences research · 2023Article
- Novel Prediction Method Applied to Wound Age Estimation: Developing a Stacking Ensemble Model to Improve Predictive Performance Based on Multi-mRNA.Diagnostics (Basel, Switzerland) · 2023Article
- Research on skeletal muscle impact injury using a new rat model from a bioimpact machine.Frontiers in bioengineering and biotechnology · 2022Article
- Integration of RNA-seq and ATAC-seq identifies muscle-regulated hub genes in cattle.Frontiers in veterinary science · 2022Article
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Authors and funding
12 authors.
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Abstract
Following skeletal muscle injury (SMI), from post-injury reaction to repair consists of a complex series of dynamic changes. However, there is a paucity of research on detailed transcriptional dynamics and time-dependent marker gene expression in the early stages after SMI. In this study, skeletal muscle tissue in rats was taken at 4 to 48 h after injury for next-generation sequencing. We examined the transcriptional kinetics characteristics during above time periods after injury. STEM and maSigPro were used to screen time-correlated genes. Integrating 188 time-correlated genes with 161 genes in each time-related gene module by WGCNA, we finally identified 18 network-node regulatory genes after SMI. Histological staining analyses confirmed the mechanisms underlying changes in the tissue damage to repair process. Our research linked a variety of dynamic biological processes with specific time periods and provided insight into the characteristics of transcriptional dynamics, as well as screened time-related biological indicators with biological significance in the early stages after SMI.
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