Literature DB >> 18314444

A method for high-throughput quantitative analysis of yeast chronological life span.

Christopher J Murakami1, Christopher R Burtner, Brian K Kennedy, Matt Kaeberlein.   

Abstract

Chronological aging in yeast has been studied by maintaining cells in a quiescent-like stationary phase culture and monitoring cell survival over time. The composition of the growth medium can have a profound influence on chronological aging. For example, dietary restriction accomplished by lowering the glucose concentration of the medium significantly increases life span. Here we report a novel high-throughput method for measuring yeast chronological life span by monitoring outgrowth of aging cells using a Bioscreen C MBR machine. We show that this method provides survival data comparable to traditional methods, but with decreased variability. In addition to reducing the glucose concentration, we find that elevated amino acid levels or increased osmolarity of the growth medium is sufficient to increase chronological life span. We also report that life-span extension from dietary restriction does not require any of the five yeast sirtuins (Sir2, Hst1, Hst2, Hst3, or Hst4) either alone or in combination.

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Year:  2008        PMID: 18314444     DOI: 10.1093/gerona/63.2.113

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  60 in total

1.  A new chronological survival assay in mammalian cell culture.

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5.  A system to identify inhibitors of mTOR signaling using high-resolution growth analysis in Saccharomyces cerevisiae.

Authors:  Mitchell B Lee; Daniel T Carr; Michael G Kiflezghi; Yan Ting Zhao; Deborah B Kim; Socheata Thon; Margarete D Moore; Mary Ann K Li; Matt Kaeberlein
Journal:  Geroscience       Date:  2017-07-13       Impact factor: 7.713

6.  Growth phase-dependent roles of Sir2 in oxidative stress resistance and chronological lifespan in yeast.

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7.  Role of glutathione in the oxidative stress response in the fungal pathogen Candida glabrata.

Authors:  Guadalupe Gutiérrez-Escobedo; Emmanuel Orta-Zavalza; Irene Castaño; Alejandro De Las Peñas
Journal:  Curr Genet       Date:  2013-03-01       Impact factor: 3.886

8.  A microarray-based genetic screen for yeast chronological aging factors.

Authors:  Mirela Matecic; Daniel L Smith; Xuewen Pan; Nazif Maqani; Stefan Bekiranov; Jef D Boeke; Jeffrey S Smith
Journal:  PLoS Genet       Date:  2010-04-22       Impact factor: 5.917

9.  YODA: software to facilitate high-throughput analysis of chronological life span, growth rate, and survival in budding yeast.

Authors:  Brady Olsen; Christopher J Murakami; Matt Kaeberlein
Journal:  BMC Bioinformatics       Date:  2010-03-18       Impact factor: 3.169

10.  Measuring replicative life span in the budding yeast.

Authors:  Kristan K Steffen; Brian K Kennedy; Matt Kaeberlein
Journal:  J Vis Exp       Date:  2009-06-25       Impact factor: 1.355

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