The Age‐Dependent Resident Myonuclear Multi‐Omic Response to an Acute Skeletal Muscle Hypertrophic Stimulus in Mice

A detailed analysis of how muscle fiber nuclei (myonuclei) respond to a hypertrophic stimulus could provide a critical step toward understanding compromised skeletal muscle plasticity with age. We used recombination-independent doxycycline-inducible myonucleus-specific fluorescent labelling, tissue RNA-sequencing, myonuclear DNA methylation analysis, multi-omic integration, and single myonucleus RNA-sequencing (smnRNA-seq) to define the molecular characteristics of adult (6-8 month) and aged (24 month) murine skeletal muscle after acute mechanical overload (MOV). In adult and aged MOV muscles, we found that: 1) similarities in the transcriptional response to loading-specifically in metabolism genes - were partly explained by a post-transcriptional microRNA-mediated mechanism that we corroborated using an inducible muscle fiber-specific miR-1 knockout model, 2) differences in age-dependent transcriptional responses were linked to the magnitude and location of differential DNA methylation in resident myonuclei, specifically around genes such as Myc, Runx1, Mybph, Ankrd1, collagen (Col) genes, and minichromosome maintenance (Mcm) genes, 3) adult and aged resident myonuclear transcriptomes had differing enrichment for innervation-related transcripts as well as unique transcriptional profiles in an Atf3+ "sarcomere assembly" population after MOV, and 4) cellular deconvolution analysis and smnRNA-seq supports a role for neuromuscular junction regulation in age-specific hypertrophic adaptation. These data are a roadmap for uncovering molecular targets to enhance aged muscle adaptability.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-02-17
DOI
https://doi.org/10.1002/advs.202521633
Primary Topic
Muscle Physiology and Disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Age‐Dependent Resident Myonuclear Multi‐Omic Response to an Acute Skeletal Muscle Hypertrophic Stimulus in Mice

NP Greene, Kevin A. Murach, Ana Regina Cabrera, Ronald G. Jones et al.
Advanced Science
Muscle Physiology and Disorders
article

The Age‐Dependent Resident Myonuclear Multi‐Omic Response to an Acute Skeletal Muscle Hypertrophic Stimulus in Mice

NP Greene, Kevin A. Murach, Ana Regina Cabrera, Ronald G. Jones, Ahmed Ismaeel, Pieter J. Koopmans, John J. McCarthy, Francielly Morena, Yuan Wen
article en

Abstract

A detailed analysis of how muscle fiber nuclei (myonuclei) respond to a hypertrophic stimulus could provide a critical step toward understanding compromised skeletal muscle plasticity with age. We used recombination-independent doxycycline-inducible myonucleus-specific fluorescent labelling, tissue RNA-sequencing, myonuclear DNA methylation analysis, multi-omic integration, and single myonucleus RNA-sequencing (smnRNA-seq) to define the molecular characteristics of adult (6-8 month) and aged (24 month) murine skeletal muscle after acute mechanical overload (MOV). In adult and aged MOV muscles, we found that: 1) similarities in the transcriptional response to loading-specifically in metabolism genes - were partly explained by a post-transcriptional microRNA-mediated mechanism that we corroborated using an inducible muscle fiber-specific miR-1 knockout model, 2) differences in age-dependent transcriptional responses were linked to the magnitude and location of differential DNA methylation in resident myonuclei, specifically around genes such as Myc, Runx1, Mybph, Ankrd1, collagen (Col) genes, and minichromosome maintenance (Mcm) genes, 3) adult and aged resident myonuclear transcriptomes had differing enrichment for innervation-related transcripts as well as unique transcriptional profiles in an Atf3+ "sarcomere assembly" population after MOV, and 4) cellular deconvolution analysis and smnRNA-seq supports a role for neuromuscular junction regulation in age-specific hypertrophic adaptation. These data are a roadmap for uncovering molecular targets to enhance aged muscle adaptability.

Advanced Science
University of Kentucky (US), University of Arkansas at Fayetteville (US), Auburn University (US)
Glenn Foundation for Medical Research, Fondation pour la Recherche Médicale, National Institutes of Health, Health Science Center, University of Tennessee
Openalex Percentile: Top 51%
Muscle Physiology and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.