Evidence map›Paper›PMID 41135530›Full record

ArticleStem cell reports2025

Delineating transcriptomic signatures of in vitro human skeletal muscle models in comparison to in vivo references.

Margaux Van Puyvelde, Eslam Essam Mohammed, Ángela Moreno Anguita, Jarne Bonroy, Sandra Jansen, Atilgan Yilmaz

Abstract readComparative Study
In one paragraph

Article in Stem cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Margaux Van PuyveldeLeuven Stem Cell Institute, Department of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium.
Eslam Essam MohammedLeuven Stem Cell Institute, Department of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium.
Ángela Moreno AnguitaLeuven Stem Cell Institute, Department of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium.
Jarne BonroyLeuven Stem Cell Institute, Department of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium.
Sandra JansenLeuven Stem Cell Institute, Department of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium.
Atilgan YilmazLeuven Stem Cell Institute, Department of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium. Electronic address: atilgan.yilmaz@kuleuven.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A pivotal question at the heart of stem cell research is how faithful cellular models recapitulate human tissues. Skeletal muscle, the largest organ in the human body, has been modeled by various in vitro systems. Here, we sought to delineate the state-of-the-art of muscle models by performing a large-scale analysis of transcriptome datasets, covering over 400 samples across 39 studies, including bulk and single-cell RNA sequencing of 2D and 3D models and their in vivo counterparts. By comparing these models to in vivo muscle, we highlighted failed upregulation of myogenic factors and retention of epigenetic memory from the in vitro source material. We featured differences in lipid metabolism and depletion of multiple fibroblast growth factor (FGF) ligands in the in vitro models. Finally, we revealed model-dependent variation in myogenic progenitors. Our analyses highlight targetable processes to improve the models while paving the way for similar studies on other cell types.

Indexed as

Gene Expression ProfilingModels, BiologicalMuscle, SkeletalTranscriptomeCell DifferentiationEpigenesis, GeneticHumansMuscle Developmentbulk RNA sequencingin vitro modelssingle cell RNA sequencingskeletal muscleskeletal muscle differentiationskeletal muscle transdifferentiationtranscriptomics

Identifiers

PMID41135530
PMCPMC12790736

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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.