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Record W4414007359 · doi:10.1113/jp288947

Endurance training increases a ubiquitylated form of histone H3 in the skeletal muscle, supporting <i>Notch1</i> upregulation in an MDM2‐dependent manner

2025· article· en· W4414007359 on OpenAlexafffund
Brian Lam, Manpreet Kaur Gulri, Pierre Lemieux, Monica Tawadrous, Mayoorey Murugathasan, Ali A. Abdul‐Sater, Emilie Roudier

Bibliographic record

VenueThe Journal of Physiology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDownregulation and upregulationSkeletal muscleHistoneChemistryEpigeneticsCell biologyNeuroscienceMedicineEndocrinologyBiologyBiochemistryGene

Abstract

fetched live from OpenAlex

Abstract At the onset of training, each exercise session transiently shifts the distribution of histone post‐transcriptional modifications (HPTMs) to activate genes that drive muscle adaptations. The resulting cyclic changes in gene expression promote the acquisition of high oxidative capacities and gains in capillaries. If training stops or remains at the same intensity, adaptation ceases. Whether silencing HPTMs helps to halt adaptation remains understudied. The E3 ubiquitin ligase murine double minute (MDM2) and enhancer of zester homolog 2 (EZH2) interact and tri‐methylate histone H3 on lysine 27 (H3K27me3), silencing genes. C57Bl6 mice ran for 9 weeks (5 days a week) maintaining a constant running speed for the last 5 weeks of training. Muscles were collected 72 h after the last run. Training increased MDM2 and EZH2 proteins and led to an H3K27me3 enrichment in Kdr and Notch1 regulatory sequences. Kdr mRNA levels decreased, following the canonical model that H3K27me3 silences genes. Notch1 mRNA increased. Trained muscles had greater levels of H3K27me3 detected at 25 kDa and no change at the expected molecular weight of 17 kDa. The 25 kDa band was identified as a ubiquitylated form of H3 (H3Ub). C2C12 myotubes exposed to four consecutive days of 90 min electrostimulation had higher levels of H3Ub. EZH2 inhibition counteracted the electrostimulation‐driven accumulation of H3Ub and increased Notch1 mRNA. Serdemetan, an MDM2 ring domain inhibitor, reduced Notch1 mRNA and H3Ub level in myotubes. MDM2‐dependent ubiquitylation of H3 might upregulate Notch1 when endurance training ceases. The role H3Ub plays in establishing a new muscle homeostasis remains unclear. image Key points Whether epigenetic silencing histone marks play a role once skeletal muscle adaptations have occurred following endurance training remains unclear. The E3 ubiquitin ligase MDM2 and the epigenetic writer EZH2 interact to establish H3K27me3 marks that silence genes, and endurance training increased the expression of both proteins. After weeks of training new capillaries were established, and lower levels of Kdr mRNA and increased H3K27me3 marking on Kdr regulatory sequences question whether silencing of this positive regulator of angiogenesis is required to halt microvascular remodelling. Training increases skeletal muscle abundance of a ubiquitylated form of H3 (H3Ub); in myotubes EZH2 inhibition limits H3Ub accumulation after contractile activity repeated over 4 days and MDM2 inhibition reduces H3Ub levels and upregulates Notch1 expression. MDM2‐dependent ubiquitylation of H3 might explain why H3K27me3 enrichment fails to silence Notch1 after training; whether H3Ub is crucial to halt adaptation and establish a new muscle homeostasis requires further investigation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.318
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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