Multi-transcriptome analysis following an acute skeletal muscle growth stimulus yields tools for discerning global and MYC regulatory networks.

5-Ethenyl uridine Ankrd1 Rpl3 Runx1 Warburg effect gene transcription muscle hypertrophy myonuclei myosin transcriptomics

Journal

The Journal of biological chemistry
ISSN: 1083-351X
Titre abrégé: J Biol Chem
Pays: United States
ID NLM: 2985121R

Informations de publication

Date de publication:
11 2022
Historique:
received: 13 07 2022
revised: 15 09 2022
accepted: 17 09 2022
pubmed: 24 9 2022
medline: 30 11 2022
entrez: 23 9 2022
Statut: ppublish

Résumé

Myc is a powerful transcription factor implicated in epigenetic reprogramming, cellular plasticity, and rapid growth as well as tumorigenesis. Cancer in skeletal muscle is extremely rare despite marked and sustained Myc induction during loading-induced hypertrophy. Here, we investigated global, actively transcribed, stable, and myonucleus-specific transcriptomes following an acute hypertrophic stimulus in mouse plantaris. With these datasets, we define global and Myc-specific dynamics at the onset of mechanical overload-induced muscle fiber growth. Data collation across analyses reveals an under-appreciated role for the muscle fiber in extracellular matrix remodeling during adaptation, along with the contribution of mRNA stability to epigenetic-related transcript levels in muscle. We also identify Runx1 and Ankrd1 (Marp1) as abundant myonucleus-enriched loading-induced genes. We observed that a strong induction of cell cycle regulators including Myc occurs with mechanical overload in myonuclei. Additionally, in vivo Myc-controlled gene expression in the plantaris was defined using a genetic muscle fiber-specific doxycycline-inducible Myc-overexpression model. We determined Myc is implicated in numerous aspects of gene expression during early-phase muscle fiber growth. Specifically, brief induction of Myc protein in muscle represses Reverbα, Reverbβ, and Myh2 while increasing Rpl3, recapitulating gene expression in myonuclei during acute overload. Experimental, comparative, and in silico analyses place Myc at the center of a stable and actively transcribed, loading-responsive, muscle fiber-localized regulatory hub. Collectively, our experiments are a roadmap for understanding global and Myc-mediated transcriptional networks that regulate rapid remodeling in postmitotic cells. We provide open webtools for exploring the five RNA-seq datasets as a resource to the field.

Identifiants

pubmed: 36150502
pii: S0021-9258(22)00958-9
doi: 10.1016/j.jbc.2022.102515
pmc: PMC9583450
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

102515

Subventions

Organisme : NIGMS NIH HHS
ID : P20 GM104320
Pays : United States
Organisme : NIA NIH HHS
ID : R00 AG063994
Pays : United States

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest Y. W. is the founder of MyoAnalytics LLC. The authors have no other conflicts to declare.

Auteurs

Kevin A Murach (KA)

Department of Health, Human Performance, and Recreation, Exercise Science Research Center, University of Arkansas, Fayetteville, Arkansas, USA; Cell and Molecular Biology Graduate Program, University of Arkansas, Fayetteville, Arkansas, USA. Electronic address: kmurach@uark.edu.

Zhengye Liu (Z)

Department of Physiology and Pharmacology, Karolinska Institute, Solna, Sweden.

Baptiste Jude (B)

Department of Physiology and Pharmacology, Karolinska Institute, Solna, Sweden; Department of Women's and Children's Health, Karolinska Institute, Solna, Sweden.

Vandre C Figueiredo (VC)

Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, USA; Department of Physiology, University of Kentucky, Lexington, Kentucky, USA.

Yuan Wen (Y)

Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, USA; Department of Physical Therapy, University of Kentucky, Lexington, Kentucky, USA.

Sabin Khadgi (S)

Department of Health, Human Performance, and Recreation, Exercise Science Research Center, University of Arkansas, Fayetteville, Arkansas, USA.

Seongkyun Lim (S)

Department of Health, Human Performance, and Recreation, Exercise Science Research Center, University of Arkansas, Fayetteville, Arkansas, USA; Cachexia Research Laboratory, University of Arkansas, Fayetteville, Arkansas, USA.

Francielly Morena da Silva (F)

Department of Health, Human Performance, and Recreation, Exercise Science Research Center, University of Arkansas, Fayetteville, Arkansas, USA; Cachexia Research Laboratory, University of Arkansas, Fayetteville, Arkansas, USA.

Nicholas P Greene (NP)

Department of Health, Human Performance, and Recreation, Exercise Science Research Center, University of Arkansas, Fayetteville, Arkansas, USA; Cell and Molecular Biology Graduate Program, University of Arkansas, Fayetteville, Arkansas, USA; Cachexia Research Laboratory, University of Arkansas, Fayetteville, Arkansas, USA.

Johanna T Lanner (JT)

Department of Physiology and Pharmacology, Karolinska Institute, Solna, Sweden.

John J McCarthy (JJ)

Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, USA; Department of Physiology, University of Kentucky, Lexington, Kentucky, USA.

Ivan J Vechetti (IJ)

Department of Nutrition and Health Sciences, University of Nebraska-Lincoln, Nebraska, USA. Electronic address: ivechetti@unl.edu.

Ferdinand von Walden (F)

Department of Women's and Children's Health, Karolinska Institute, Solna, Sweden. Electronic address: ferdinand.von.walden@ki.se.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH