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Cited by 803

The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.

Signaling Pathways in Skeletal Muscle Remodeling

Bassel-Duby, Rhonda, Olson, Eric N.·2006·Annual Review of Biochemistry

Abstract

Skeletal muscle is comprised of heterogeneous muscle fibers that differ in their physiological and metabolic parameters. It is this diversity that enables different muscle groups to provide a variety of functional properties. In response to environmental demands, skeletal muscle remodels by activating signaling pathways to reprogram gene expression to sustain muscle performance. Studies have been performed using exercise, electrical stimulation, transgenic animal models, disease states, and microgravity to show genetic alterations and transitions of muscle fibers in response to functional demands. Various components of calcium-dependent signaling pathways and multiple transcription factors, coactivators and corepressors have been shown to be involved in skeletal muscle remodeling. Understanding the mechanisms involved in modulating skeletal muscle phenotypes can potentiate the development of new therapeutic measures to ameliorate muscular diseases.

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Crossref · 10.1146/annurev.biochem.75.103004.142622

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Metadata

Authors
Bassel-Duby, R., & Olson, E. N.
Venue
Annual Review of Biochemistry
Published
2006-06-01
Volume
75
Issue
1
Pages
19-37
ISSN
  • 0066-4154 (ISSN-L)
  • 1545-4509
OpenAlex
W2136563400
Cited by
803
References
114
FWCI
2.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Signaling Pathways in Skeletal Muscle Remodeling. https://app.cochat.ai/papers/10.1146/annurev.biochem.75.103004.142622
The paper
Bassel-Duby, R., & Olson, E. N. (2006). Signaling Pathways in Skeletal Muscle Remodeling. Annual Review of Biochemistry. https://doi.org/10.1146/annurev.biochem.75.103004.142622

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.