ArticleNAR molecular medicine2024
Network-based modelling reveals cell-type enriched patterns of non-coding RNA regulation during human skeletal muscle remodelling.
Article in NAR molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Long non-coding RNAs in exercise: the hidden regulators of adaptation.Pflugers Archiv : European journal of physiology · 2026Review
- LncRNA HSCHARME is altered in human cardiomyopathies and promotes stem cell-derived cardiomyogenesis via splicing regulation.Nature communications · 2025Article
- Long non-coding RNAs Kcnq1ot1 and Lncpint are involved in skeletal muscle atrophy induced by the space exposome.The Journal of physiology · 2025Article
- A primer on global molecular responses to exercise in skeletal muscle: Omics in focus.Journal of sport and health science · 2025Review
- Across the space: applications of spatial transcriptomic technology in healthy and diseased muscle.Frontiers in cell and developmental biology · 2025Review
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
A majority of human genes produce non-protein-coding RNA (ncRNA), and some have roles in development and disease. Neither ncRNA nor human skeletal muscle is ideally studied using short-read sequencing, so we used a customized RNA pipeline and network modelling to study cell-type specific ncRNA responses during muscle growth at scale. We completed five human resistance-training studies (
Identifiers
What Socratic holds
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 Socratic graph.