Proteomic reference map for sarcopenia research: mass spectrometric identification of key muscle proteins of organelles, cellular signaling, bioenergetic metabolism and molecular chaperoning.


Journal

European journal of translational myology
ISSN: 2037-7452
Titre abrégé: Eur J Transl Myol
Pays: Italy
ID NLM: 101576208

Informations de publication

Date de publication:
24 May 2024
Historique:
received: 12 04 2024
accepted: 12 04 2024
medline: 24 5 2024
pubmed: 24 5 2024
entrez: 24 5 2024
Statut: aheadofprint

Résumé

During the natural aging process, frailty is often associated with abnormal muscular performance. Although inter-individual differences exit, in most elderly the tissue mass and physiological functionality of voluntary muscles drastically decreases. In order to study age-related contractile decline, animal model research is of central importance in the field of biogerontology. Here we have analyzed wild type mouse muscle to establish a proteomic map of crude tissue extracts. Proteomics is an advanced and large-scale biochemical method that attempts to identify all accessible proteins in a given biological sample. It is a technology-driven approach that uses mass spectrometry for the characterization of individual protein species. Total protein extracts were used in this study in order to minimize the potential introduction of artefacts due to excess subcellular fractionation procedures. In this report, the proteomic survey of aged muscles has focused on organellar marker proteins, as well as proteins that are involved in cellular signaling, the regulation of ion homeostasis, bioenergetic metabolism and molecular chaperoning. Hence, this study has establish a proteomic reference map of a highly suitable model system for future aging research.

Identifiants

pubmed: 38787292
doi: 10.4081/ejtm.2024.12565
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Paul Dowling (P)

Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland; Kathleen Lonsdale Institute for Human Health Research, Maynooth University, Maynooth, Co. Kildare. paul.dowling@mu.ie.

Stephen Gargan (S)

Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland; Kathleen Lonsdale Institute for Human Health Research, Maynooth University, Maynooth, Co. Kildare. stephen.gargan@mu.ie.

Margit Zweyer (M)

Department of Neonatology and Paediatric Intensive Care, Children's Hospital, University of Bonn, Bonn, Germany; German Center for Neurodegenerative Diseases, Bonn. margit.zweyer@dzne.de.

Michael Henry (M)

National Institute for Cellular Biotechnology, Dublin City University, Dublin. michael.henry@dcu.ie.

Paula Meleady (P)

National Institute for Cellular Biotechnology, Dublin City University, Dublin. paula.meleady@dcu.ie.

Dieter Swandulla (D)

Institute of Physiology, Medical Faculty, University of Bonn, Bonn. swandulla@uni-bonn.de.

Kay Ohlendieck (K)

Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland; Kathleen Lonsdale Institute for Human Health Research, Maynooth University, Maynooth, Co. Kildare. kay.ohlendieck@mu.ie.

Classifications MeSH