ArticleCell reports2017
The Role of Eif6 in Skeletal Muscle Homeostasis Revealed by Endurance Training Co-expression Networks.
Article in Cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
The trial behind it
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
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Pooled it
- Exercise is associated with younger methylome and transcriptome profiles in human skeletal muscle.Aging cell · 2024Pooled it
- eIF6 links histone acetylation with translational control of HDAC in skeletal muscle.Molecular and cellular biochemistry · 2026Article
- Artificial intelligence and sports genomics: advancing precision sports science and athletic performance.Frontiers in sports and active living · 2026Review
- State of Knowledge on Molecular Adaptations to Exercise in Humans: Historical Perspectives and Future Directions.Comprehensive Physiology · 2022Article
- Eukaryotic initiation factor 6 regulates mechanical responses in endothelial cells.The Journal of cell biology · 2022Article
- DHX30 Coordinates Cytoplasmic Translation and Mitochondrial Function Contributing to Cancer Cell Survival.Cancers · 2021Article
- Transcriptomic analysis of the trade-off between endurance and burst-performance in the frog Xenopus allofraseri.BMC genomics · 2021Article
- Transcriptomic Signatures and Upstream Regulation in Human Skeletal Muscle Adapted to Disuse and Aerobic Exercise.International journal of molecular sciences · 2021Article
- Regulation of eukaryotic translation initiation factor 6 dynamics through multisite phosphorylation by GSK3.The Journal of biological chemistry · 2020Article
- Skeletal muscle enhancer interactions identify genes controlling whole-body metabolism.Nature communications · 2020Article
- Recent advances in understanding resistance exercise training-induced skeletal muscle hypertrophy in humans.F1000Research · 2020Review
- Exploring the underlying biology of intrinsic cardiorespiratory fitness through integrative analysis of genomic variants and muscle gene expression profiling.Journal of applied physiology (Bethesda, Md. : 1985) · 2019Article
- RNA processing in skeletal muscle biology and disease.Transcription · 2019Review
- Characterisation of infection associated microRNA and protein cargo in extracellular vesicles of Theileria annulata infected leukocytes.Cellular microbiology · 2019Article
- Personalized medicine for patients with COPD: where are we?International journal of chronic obstructive pulmonary disease · 2019Review
Corrections and comments
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Authors and funding
25 authors at 9 institutions in 5 countries.
Funding
Abstract
Regular endurance training improves muscle oxidative capacity and reduces the risk of age-related disorders. Understanding the molecular networks underlying this phenomenon is crucial. Here, by exploiting the power of computational modeling, we show that endurance training induces profound changes in gene regulatory networks linking signaling and selective control of translation to energy metabolism and tissue remodeling. We discovered that knockdown of the mTOR-independent factor Eif6, which we predicted to be a key regulator of this process, affects mitochondrial respiration efficiency, ROS production, and exercise performance. Our work demonstrates the validity of a data-driven approach to understanding muscle homeostasis.
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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.