Revisiting noncoding RNAs: emerging coding functions and their impact on skeletal muscle development.

Dandan Zhong, Jian Wang, Qi Li, Chuang Wang, Yuanyuan Huang, Yanhong Cao, Hui Li

Abstract readReview

In one paragraph

Review in Experimental & molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dandan Zhong *Guangxi Key Laboratory of Animal Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning, China.

Jian Wang *Guangxi Key Laboratory of Animal Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning, China.

Qi LiGuangxi Key Laboratory of Animal Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning, China.

Chuang WangGuangxi Key Laboratory of Animal Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning, China.

Yuanyuan HuangGuangxi Key Laboratory of Animal Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning, China.

Yanhong CaoGuangxi Vocational University of Agriculture, Nanning, China. caoyh610@163.com.

Hui LiGuangxi Key Laboratory of Animal Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning, China. huili@gxu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence has revealed noncoding RNAs (ncRNAs) as versatile regulators in skeletal muscle development, extending beyond their canonical roles as nontranslating transcripts. Recent advancements in proteomics and translatomics have demonstrated that ncRNAs containing cryptic open reading frames can encode peptides/proteins. Here we systematically evaluate computational tools and databases for predicting ncRNA-encoded products, dissect the molecular mechanisms underlying their translation and synthesize the current landscape of ncRNA-derived peptides/proteins identified in skeletal muscle across species. We further discuss their emerging roles in myogenesis and potential clinical implications for muscle-related disorders. By highlighting the dual functionality of ncRNAs as both regulatory RNAs and peptide/protein precursors, this work provides a comprehensive resource for understanding the expanding complexity of skeletal muscle development and proposes novel therapeutic targets for muscle diseases.

Indexed as

Muscle DevelopmentMuscle, SkeletalRNA, UntranslatedAnimalsComputational BiologyHumansMicropeptidesOpen Reading FramesMicropeptidesRNA, Untranslated

Identifiers

PMID41501374

DOI10.1038/s12276-025-01610-1

PMCPMC12868739

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

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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.