Evidence map›Paper›PMID 41034476›Full record

ArticleScientific reports2025

In-vitro human myogenesis model reveals novel mRNA alternative splicing isoforms.

Stefano Donega, Nirad Banskota, Jen-Hao Yang, Martina Rossi, Yulan Piao, Dimitrios Tsitsipatis, Jinshui Fan, Supriyo De, Charlotte A Peterson, Mary M McDermott and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

12 authors.

Stefano DonegaTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
Nirad BanskotaLaboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA.
Jen-Hao YangLaboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA.
Martina RossiLaboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA.
Yulan PiaoLaboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA.
Dimitrios TsitsipatisLaboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA.
Jinshui FanLaboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA.
Supriyo DeLaboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA.
Charlotte A PetersonCenter for Muscle Biology, College of Health Sciences, University of Kentucky, Lexington, KY, USA.
Mary M McDermottDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Myriam GorospeLaboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA.
Luigi FerrucciTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA. ferruccilu@grc.nia.nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myogenesis, the process of muscle formation and regeneration, involves substantial alterations in gene expression. While alternative splicing plays a crucial role in generating proteomic diversity during development and disease, its specific contributions to human muscle differentiation have not been systematically explored. Here, we examined altered mRNA splicing during myogenesis in two human myoblast cell lines using a hybrid transcriptomic approach that combines short-read (Illumina) and long-read (Nanopore) RNA-seq analyses. We identified 13,853 new significant splicing isoforms (60,582 total), with RNAs increasing and decreasing in abundance between days 0 and 3 (3,771 and 3,649, respectively), and between days 3 and 5 (1,302 and 1,109, respectively). We identified 1,937 significant differential transcript usage events (DTUs), implicating pathways relevant for muscle regulation. These findings were validated using RT-qPCR analysis and across mouse and human models, including clinical samples from peripheral artery disease patients. Artificial Intelligence algorithms predicted 595 myogenesis-associated, high-confidence, novel protein-coding splicing isoforms. This study uncovers splicing-regulated mechanisms in muscle development and pathologies, establishing an integrative framework for studying mRNA processing, essential for future muscle biology intervention studies.

Indexed as

Alternative SplicingMuscle DevelopmentRNA, MessengerAnimalsCell DifferentiationCell LineHumansMiceMyoblastsProtein IsoformsRNA IsoformsProtein IsoformsRNA IsoformsRNA, MessengerAI-neural networkIn-vitro muscle modelmRNAMyogenesisSplicing

Identifiers

PMID41034476
PMCPMC12489129

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.