Evidence map›Paper›PMID 40496353›Full record

ReviewFASEB bioAdvances2025

The SUV39 Family of H3K9 Methyltransferases in Skeletal Muscle Stem Cells.

Pauline Garcia, Slimane Ait-Si-Ali, Fabien Le Grand

Abstract readReview
In one paragraph

Review in FASEB bioAdvances, 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
–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

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

3 authors.

Pauline GarciaInstitut NeuroMyoGène, UMR5261, CNRS, INSERM, Université Claude Bernard Lyon 1 Lyon France.ORCID https://orcid.org/0000-0002-4673-8583
Slimane Ait-Si-AliCNRS, Epigenetics and Cell Fate-UMR7216, Université Paris Cité Paris France.
Fabien Le GrandInstitut NeuroMyoGène, UMR5261, CNRS, INSERM, Université Claude Bernard Lyon 1 Lyon France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle repair is primarily driven by muscle stem cells (MuSCs) that regenerate damaged myofibers. The differentiation process of MuSCs into differentiated myofibers, known as adult myogenesis, is tightly regulated by various transcription factors, which involve precise spatio-temporal gene expression patterns. Epigenetic factors play an important role in this regulation, as they modulate gene expression to maintain the balance between the different myogenic states. Histone lysine methyltransferases KMT sare key epigenetic regulators, with the SUV39 family being of particular interest for their role in gene repression via H3K9 methylation. This family comprises SUV39H1, SUV39H2, SETDB1, SETDB2, G9A, and GLP. While the functions of SUV39 family members have been well characterized during development in embryonic stem cells and in disease contexts such as cancer, their functions in adult stem cell populations, especially in MuSCs, are still not fully understood. Recent studies shed new light on how the SUV39 family influences muscle biology, particularly in regulating MuSCs fate and adult myogenesis. These enzymes are critical for maintaining the epigenetic landscape essential for effective muscle repair, as they regulate the transition between different myogenic states and ensure coordinated gene expression during regeneration. Here, we present a comprehensive overview of the functions of the SUV39 KMTs family in skeletal muscle biology, emphasizing their role in adult myogenesis and exploring the broader implications for muscle regeneration and related diseases.

Indexed as

gene repressionhistone lysine methyltransferasehistone methylationskeletal muscleSUV39

Identifiers

PMID40496353
PMCPMC12147509

What OpenQuestion holds

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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.