ArticleScientific data2014
Simplified data access on human skeletal muscle transcriptome responses to differentiated exercise.
Article in Scientific data, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
38 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Time trajectories in the transcriptomic response to exercise - a meta-analysis.Nature communications · 2021Pooled it
- Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity.Nature communications · 2020Pooled it
- Impact of protein supplementation during endurance training on changes in skeletal muscle transcriptome.BMC genomics · 2020Trial
- Global mRNA sequencing of human skeletal muscle: Search for novel exercise-regulated myokines.Molecular metabolism · 2017Trial
- Increasing indices of frailty in aged female mice are associated with impaired skeletal muscle resilience to downhill running stress.GeroScience · 2026Article
- Resistance but not endurance training suppresses glucocorticoid-induced leucine zipper (GILZ) expression in human skeletal muscle.European journal of applied physiology · 2025Article
- Time-series transcriptomics reveals distinctive mRNA expression dynamics associated with gene ontology specificity and protein expression in skeletal muscle after electrical stimulation-induced resistance exercise.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024Article
- The Acute, Short-, and Long-Term Effects of Endurance Exercise on Skeletal Muscle Transcriptome Profiles.International journal of molecular sciences · 2024Article
- Transcriptomic Analysis of Human Skeletal Muscle in Response to Aerobic Exercise and Protein Intake.Nutrients · 2023Article
- Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Data.Nutrients · 2023Article
- Aged gastrocnemius muscle of mice positively responds to a late onset adapted physical training.Frontiers in cell and developmental biology · 2023Article
- Genome-Wide Association Study IdentifiesCells · 2022Article
- Whole blood transcriptome characterization of young female triathlon athletes following an endurance exercise: a pilot study.Physiological genomics · 2022Article
- Article
- Skeletal muscle phenotyping of Hippo gene-mutated mice reveals that Lats1 deletion increases the percentage of type I muscle fibers.Transgenic research · 2022Article
- Genomic predictors of testosterone levels are associated with muscle fiber size and strength.European journal of applied physiology · 2022Article
- "Big Data" Approaches for Prevention of the Metabolic Syndrome.Frontiers in genetics · 2022Review
- Article
- Effects of Training Status and Exercise Mode on Global Gene Expression in Skeletal Muscle.International journal of molecular sciences · 2021Article
- A Modular Mathematical Model of Exercise-Induced Changes in Metabolism, Signaling, and Gene Expression in Human Skeletal Muscle.International journal of molecular sciences · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Few studies have investigated exercise-induced global gene expression responses in human skeletal muscle and these have typically focused at one specific mode of exercise and not implemented non-exercise control models. However, interpretation on effects of differentiated exercise necessitate direct comparison between essentially different modes of exercise and the ability to identify true exercise effect, necessitate implementation of independent non-exercise control subjects. Furthermore, muscle transcriptome data made available through previous exercise studies can be difficult to extract and interpret by individuals that are inexperienced with bioinformatics procedures. In a comparative study, we therefore; (1) investigated the human skeletal muscle transcriptome responses to differentiated exercise and non-exercise control intervention, and; (2) set out to develop a straightforward search tool to allow for easy access and interpretation of our data. We provide a simple-to-use spread sheet containing transcriptome data allowing other investigators to easily see how mRNA of their gene(s) of interest behave in skeletal muscle following exercise, both endurance, resistance and non-exercise, to better aid hypothesis-driven question in this field of research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.