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Genome-Wide Analysis of Yeast Aging

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Aging Research in Yeast

Part of the book series: Subcellular Biochemistry ((SCBI,volume 57))

Abstract

In the past several decades the budding yeast Saccharomyces cerevisiae has emerged as a prominent model for aging research. The creation of a single-gene deletion collection covering the majority of open reading frames in the yeast genome and advances in genomic technologies have opened yeast research to genome-scale screens for a variety of phenotypes. A number of screens have been performed looking for genes that modify secondary age-associated phenotypes such as stress resistance or growth rate. More recently, moderate-throughput methods for measuring replicative life span and high-throughput methods for measuring chronological life span have allowed for the first unbiased screens aimed at directly identifying genes involved in determining yeast longevity. In this chapter we discuss large-scale life span studies performed in yeast and their implications for research related to the basic biology of aging.

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Abbreviations

CCE:

counter flow centrifugation elutriation

DR:

dietary restriction

ERC:

extrachromosomal rDNA circles

FNR:

false negative rate

FPR:

false positive rate

LL:

long-lived

LLM:

long-lived mutant

MEP:

mother enrichment program

NLL:

not long-lived

NSE:

no significant extension

OD:

optical density

ORF:

open reading frame

PKA:

protein kinase A

ROS:

reactive oxygen species

SL:

short-lived

SIR:

silent information regulator

TOR:

target of rapamycin

uORF:

upstream open reading frame

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Authors and Affiliations

  1. Department of Pathology, University of Washington, Seattle, WA, 98195-7470, USA

    Brady A. Olsen & Matt Kaeberlein

  2. Buck Institute, Novato, CA, 94945, USA

    Brian K. Kennedy

  3. Department of Pathology and the Molecular and Cellular Biology Program, University of Washington, Seattle, WA, 98195-7470, USA

    George L. Sutphin

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  1. George L. Sutphin
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  2. Brady A. Olsen
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  3. Brian K. Kennedy
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  4. Matt Kaeberlein
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Correspondence to Matt Kaeberlein .

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  1. , Department of Cell Biology, University of Salzburg, Hellbrunnerstrasse 34, Salzburg, 5020, Austria

    Michael Breitenbach

  2. , Tulane Center for Aging and Department o, Tulane University Health Sciences Center, Tulane Avenue SL-12 1430, New Orleans, 70112, Louisiana, USA

    S. Michal Jazwinski

  3. , Department of Cell Biology, University of Salzburg, Hellbrunnerstrasse 34, Salzburg, 5020, Austria

    Peter Laun

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Sutphin, G.L., Olsen, B.A., Kennedy, B.K., Kaeberlein, M. (2011). Genome-Wide Analysis of Yeast Aging. In: Breitenbach, M., Jazwinski, S., Laun, P. (eds) Aging Research in Yeast. Subcellular Biochemistry, vol 57. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2561-4_12

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