Assessing chronological aging in Saccharomyces cerevisiae.

Aging Apoptosis Cell death Chronological lifespan High-throughput Necrosis Viability Vitality Yeast

Journal

Methods in cell biology
ISSN: 0091-679X
Titre abrégé: Methods Cell Biol
Pays: United States
ID NLM: 0373334

Informations de publication

Date de publication:
2024
Historique:
medline: 2 2 2024
pubmed: 2 2 2024
entrez: 1 2 2024
Statut: ppublish

Résumé

Chronological age represents the time that passes between birth and a given date. To understand the complex network of factors contributing to chronological lifespan, a variety of model organisms have been implemented. One of the best studied organisms is the yeast Saccharomyces cerevisiae, which has greatly contributed toward identifying conserved biological mechanisms that act on longevity. Here, we discuss high- und low-throughput protocols to monitor and characterize chronological lifespan and chronological aging-associated cell death in S. cerevisiae. Included are propidium iodide staining with the possibility to quantitatively assess aging-associated cell death via flow cytometry or qualitative assessments via microscopy, cell viability assessment through plating and cell counting and cell death characterization via propidium iodide/AnnexinV staining and subsequent flow cytometric analysis or microscopy. Importantly, all of these methods combined give a clear picture of the chronological lifespan under different conditions or genetic backgrounds and represent a starting point for pharmacological or genetic interventions.

Identifiants

pubmed: 38302246
pii: S0091-679X(22)00147-9
doi: 10.1016/bs.mcb.2022.09.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

87-108

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Auteurs

Adina Schulze (A)

Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria.

Andreas Zimmermann (A)

Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria.

Katharina Kainz (K)

Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria.

Nadine B Egger (NB)

Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria.

Maria A Bauer (MA)

Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria.

Frank Madeo (F)

Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria; Field of Excellence BioHealth, University of Graz, Graz, Austria. Electronic address: frank.madeo@uni-graz.at.

Didac Carmona-Gutierrez (D)

Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria. Electronic address: carmonag@uni-graz.at.

Classifications MeSH