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Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model

Studies using the Saccharomyces cerevisiae aging model have uncovered life span regulatory pathways that are partially conserved in higher eukaryotes(1-2). The simplicity and power of the yeast aging model can also be explored to study DNA damage and genome maintenance as well as their contributions...

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Detalles Bibliográficos
Autores principales: Wei, Min, Madia, Federica, Longo, Valter D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MyJove Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3230202/
https://www.ncbi.nlm.nih.gov/pubmed/21989366
http://dx.doi.org/10.3791/3030
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author Wei, Min
Madia, Federica
Longo, Valter D.
author_facet Wei, Min
Madia, Federica
Longo, Valter D.
author_sort Wei, Min
collection PubMed
description Studies using the Saccharomyces cerevisiae aging model have uncovered life span regulatory pathways that are partially conserved in higher eukaryotes(1-2). The simplicity and power of the yeast aging model can also be explored to study DNA damage and genome maintenance as well as their contributions to diseases during aging. Here, we describe a system to study age-dependent DNA mutations, including base substitutions, frame-shift mutations, gross chromosomal rearrangements, and homologous/homeologous recombination, as well as nuclear DNA repair activity by combining the yeast chronological life span with simple DNA damage and mutation assays. The methods described here should facilitate the identification of genes/pathways that regulate genomic instability and the mechanisms that underlie age-dependent DNA mutations and cancer in mammals.
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spelling pubmed-32302022011-12-07 Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model Wei, Min Madia, Federica Longo, Valter D. J Vis Exp Genetics Studies using the Saccharomyces cerevisiae aging model have uncovered life span regulatory pathways that are partially conserved in higher eukaryotes(1-2). The simplicity and power of the yeast aging model can also be explored to study DNA damage and genome maintenance as well as their contributions to diseases during aging. Here, we describe a system to study age-dependent DNA mutations, including base substitutions, frame-shift mutations, gross chromosomal rearrangements, and homologous/homeologous recombination, as well as nuclear DNA repair activity by combining the yeast chronological life span with simple DNA damage and mutation assays. The methods described here should facilitate the identification of genes/pathways that regulate genomic instability and the mechanisms that underlie age-dependent DNA mutations and cancer in mammals. MyJove Corporation 2011-09-29 /pmc/articles/PMC3230202/ /pubmed/21989366 http://dx.doi.org/10.3791/3030 Text en Copyright © 2011, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Genetics
Wei, Min
Madia, Federica
Longo, Valter D.
Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
title Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
title_full Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
title_fullStr Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
title_full_unstemmed Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
title_short Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
title_sort studying age-dependent genomic instability using the s. cerevisiae chronological lifespan model
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3230202/
https://www.ncbi.nlm.nih.gov/pubmed/21989366
http://dx.doi.org/10.3791/3030
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