Identification of Subproteomic Markers for Skeletal Muscle Profiling.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2023
Historique:
entrez: 15 11 2022
pubmed: 16 11 2022
medline: 19 11 2022
Statut: ppublish

Résumé

The biochemical and cell biological profiling of contractile fiber types and subcellular structures plays a central role in basic and applied myology. Mass spectrometry-based proteomics presents an ideal approach for the systematic identification of proteomic and subproteomic markers. These representative components of fast versus slow muscle fibers and their subcellular fractions are highly useful for in-depth surveys of skeletal muscle adaptations to physiological challenges, as well as the improvement of diagnostic, prognostic, and therapy-monitoring methodologies in muscle pathology. This chapter outlines the identification of subproteomic markers for skeletal muscle profiling based on bottom-up and top-down approaches, including fluorescence two-dimensional difference gel electrophoresis (2D-DIGE).

Identifiants

pubmed: 36378446
doi: 10.1007/978-1-0716-2831-7_20
doi:

Substances chimiques

Muscle Proteins 0
Biomarkers 0
Proteome 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

291-302

Informations de copyright

© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Paul Dowling (P)

Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland.

Stephen Gargan (S)

Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland.

Dieter Swandulla (D)

Institute of Physiology, University of Bonn, Bonn, Germany.

Kay Ohlendieck (K)

Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland. kay.ohlendieck@mu.ie.

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