Literature DB >> 11348655

New clues to old yeast.

S M Jazwinski1.   

Abstract

The yeast Saccharomyces cerevisiae has been used as an experimental model for the genetic and molecular dissecton of the aging process for the past decade. This period has seen the implication of some 30 genes in yeast aging. These genes encode a wide array of biochemical functions, suggesting the participation of multiple molecular mechanisms of aging. However, four principles appear to be at play: metabolism, stress resistance, gene dysregulation, and genetic instability. They unite the broad physiological aspects of yeast aging with those in other species. Genes and environment are not the only players; stochastic change also appears important in determining life span. This element of chance provides opportunities for an integrative approach, which is beginning to appear in yeast aging research.

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Year:  2001        PMID: 11348655     DOI: 10.1016/s0047-6374(01)00244-5

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  6 in total

1.  Changes in transcription and metabolism during the early stage of replicative cellular senescence in budding yeast.

Authors:  Yuka Kamei; Yoshihiro Tamada; Yasumune Nakayama; Eiichiro Fukusaki; Yukio Mukai
Journal:  J Biol Chem       Date:  2014-10-07       Impact factor: 5.157

2.  Advances in measuring lifespan in the yeast Saccharomyces cerevisiae.

Authors:  Nadège Minois; Magdalena Frajnt; Chris Wilson; James W Vaupel
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-29       Impact factor: 11.205

Review 3.  Aging and longevity in the simplest animals and the quest for immortality.

Authors:  Ronald S Petralia; Mark P Mattson; Pamela J Yao
Journal:  Ageing Res Rev       Date:  2014-06-05       Impact factor: 10.895

4.  Rtg2 protein links metabolism and genome stability in yeast longevity.

Authors:  Corina Borghouts; Alberto Benguria; Jaroslaw Wawryn; S Michal Jazwinski
Journal:  Genetics       Date:  2004-02       Impact factor: 4.562

5.  Mathematical modeling and validation of the ergosterol pathway in Saccharomyces cerevisiae.

Authors:  Fernando Alvarez-Vasquez; Howard Riezman; Yusuf A Hannun; Eberhard O Voit
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

Review 6.  Ribosomal RNA gene repeats, their stability and cellular senescence.

Authors:  Takehiko Kobayashi
Journal:  Proc Jpn Acad Ser B Phys Biol Sci       Date:  2014       Impact factor: 3.493

  6 in total

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