Bioinformatic Analysis of Differentially Expressed Long Non-Coding RNAs in Skeletal Muscle Following Aerobic and Resistance Exercise

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Authors: Kassia Régnier, Lucas P. R. Beaupre, Ian F. Coccimiglio, Taylor J. McColl, David C. Clarke, Brendon J. Gurd
Cited by: 1
References: 73

Abstract

Background/Objectives: Emerging evidence suggests that long non-coding RNA (lncRNA) molecules influence the adaptive response to exercise, but how lncRNA responses differ between endurance and resistance exercise (RE) modalities is poorly understood. The purpose of this study was to bioinformatically infer the expression of lncRNA in skeletal muscle following acute aerobic exercise (AE) and RE. Methods: We downloaded publicly available RNA-seq data, performed a differential expression (DE) analysis, and compared lncRNA expression profiles between different exercise types (AE vs. RE) at three timepoints: baseline, 1 h post-exercise, and 4 h post-exercise. Results: We observed distinct lncRNA profiles between acute AE and RE at different timepoints, suggesting that lncRNA perform distinct roles in controlling the response to different exercise modalities in skeletal muscle. Conclusions: Future studies should investigate the specific roles of these lncRNAs in the response to acute exercise in skeletal muscle.

Fields of Study & Subjects

Cancer-related molecular mechanisms research Muscle Physiology and Disorders Cardiovascular and exercise physiology

Publication details

Journal / source
Genes
Publisher
MDPI AG
Volume
17
Issue
1
Pages
110–110
Publication date
20 January 2026
Language
EN