Human Skeletal Muscle Fiber Heterogeneity Beyond Myosin Heavy Chains DOI Open Access
Roger Moreno‐Justicia, Thibaux Van der Stede, Ben Stocks

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 12, 2023

Abstract Skeletal muscle is an inherently heterogenous tissue comprised primarily of myofibers, which are historically classified into three distinct fiber types in humans: one “slow” (type 1) and two “fast” 2A type 2X), delineated by the expression myosin heavy chain isoforms (MYHs). However, heterogeneity between within traditional remains underexplored. Indeed, whether MYHs main classifiers skeletal fibers has not been examined unbiased manner. Through development application novel transcriptomic proteomic workflows, applied to 1050 1038 single from human vastus lateralis , respectively, we show that only principal drivers heterogeneity. Instead, metabolic, ribosomal, cell junction proteins a source multi-dimensional variation fibers. Furthermore, whilst slow fast clusters can be identified, described their contractile metabolic profiles, our data suggests 2X phenotypically other at omics level. Moreover, MYH-based classifications do adequately describe phenotype most common genetic diseases, nemaline myopathy, with shifting towards non-oxidative independently type. We also characterize features fibers, including identifying several type-specific polypeptides, termed microproteins, encoded transcripts annotated as non-coding RNA. Overall, indicates sources beyond isoforms.

Language: Английский

Human skeletal muscle fiber heterogeneity beyond myosin heavy chains DOI Creative Commons
Roger Moreno‐Justicia, Thibaux Van der Stede, Ben Stocks

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 19, 2025

Skeletal muscle is a heterogenous tissue comprised primarily of myofibers, commonly classified into three fiber types in humans: one "slow" (type 1) and two "fast" 2A type 2X). However, heterogeneity between within traditional remains underexplored. We applied transcriptomic proteomic workflows to 1050 1038 single myofibers from human vastus lateralis, respectively. Proteomics was conducted males, while transcriptomics included ten males females. identify metabolic, ribosomal, cell junction proteins, addition myosin heavy chain isoforms, as sources multi-dimensional variation myofibers. Furthermore, whilst slow fast clusters are identified, our data suggests that 2X fibers not phenotypically distinct other fibers. Moreover, chain-based classifications do adequately describe the phenotype nemaline myopathy. Overall, indicates myofiber with beyond isoforms. Moreno-Justicia colleagues report pipelines explore skeletal fibers, identifying healthy individuals children

Language: Английский

Citations

3
A primer on global molecular responses to exercise in skeletal muscle: Omics in focus DOI Creative Commons
Kevin A. Murach, James R. Bagley

Journal of sport and health science/Journal of Sport and Health Science, Journal Year: 2025, Volume and Issue: unknown, P. 101029 - 101029

Published: Feb. 1, 2025

Advances in skeletal muscle omics has expanded our understanding of exercise-induced adaptations at the molecular level. Over past 2 decades, transcriptome studies have detailed acute and chronic responses to resistance, endurance, concurrent exercise, focusing on variables such as training status, nutrition, age, sex, metabolic health profile. Multi-omics approaches, integration transcriptomic epigenetic data, along with emerging ribosomal RNA sequencing advancements, further provided insights into how adapts exercise across lifespan. Downstream transcriptome, proteomic phosphoproteomic identified novel regulators adaptations, while single-cell/nucleus spatial technologies promise evolve cellular specialization communication around cells. This narrative review highlights (a) historical foundations muscle, (b) current research 3 layers cascade (DNA, RNA, protein), (c) applications single-cell study adaptation exercise. Further elaboration muscle's global footprint using multi-omics methods will help researchers practitioners develop more effective targeted approaches improve well athletic performance.

Language: Английский

Citations

1
Ribosome Structural Changes Dynamically Affect Ribosome Function DOI Open Access
Lasse Lindahl

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(20), P. 11186 - 11186

Published: Oct. 17, 2024

Ribosomes were known to be multicomponent complexes as early the 1960s. Nonetheless, prevailing view for decades considered active ribosomes a monolithic population, in which all are identical composition and function. This implied that themselves did not actively contribute regulation of protein synthesis. In this perspective, I review evidence different model, based on results showing can harbor types ribosomal RNA (rRNA) proteins (r-proteins) and, furthermore, need contain complete set r-proteins. also summarize recent favoring notion such distinct have affinities specific messenger RNAs may execute translation process differently. Thus, should contributors

Language: Английский

Citations

3
Dynamic rRNA modifications as a source of ribosome heterogeneity DOI
Ivan Milenkovic, Eva Maria Novoa

Trends in Cell Biology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

3
Human Skeletal Muscle Fiber Heterogeneity Beyond Myosin Heavy Chains DOI Open Access
Roger Moreno‐Justicia, Thibaux Van der Stede, Ben Stocks

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 12, 2023

Abstract Skeletal muscle is an inherently heterogenous tissue comprised primarily of myofibers, which are historically classified into three distinct fiber types in humans: one “slow” (type 1) and two “fast” 2A type 2X), delineated by the expression myosin heavy chain isoforms (MYHs). However, heterogeneity between within traditional remains underexplored. Indeed, whether MYHs main classifiers skeletal fibers has not been examined unbiased manner. Through development application novel transcriptomic proteomic workflows, applied to 1050 1038 single from human vastus lateralis , respectively, we show that only principal drivers heterogeneity. Instead, metabolic, ribosomal, cell junction proteins a source multi-dimensional variation fibers. Furthermore, whilst slow fast clusters can be identified, described their contractile metabolic profiles, our data suggests 2X phenotypically other at omics level. Moreover, MYH-based classifications do adequately describe phenotype most common genetic diseases, nemaline myopathy, with shifting towards non-oxidative independently type. We also characterize features fibers, including identifying several type-specific polypeptides, termed microproteins, encoded transcripts annotated as non-coding RNA. Overall, indicates sources beyond isoforms.

Language: Английский

Citations

2