Literature DB >> 21119761

Network reconstruction reveals new links between aging and calorie restriction in yeast.

Gábor Balázsi1.   

Abstract

Aging affects all known organisms and has been studied extensively. Yet, the underlying mechanisms are insufficiently understood, possibly due to the multiscale complexity involved in this process: the aging of multicellular organisms depends on the aging of their cells, which depends on molecular events occurring in each cell. However, the aging of unicellular populations seeded in new niches and the aging of metazoans are surprisingly similar, indicating that the multiscale aspects of aging may have been conserved since the beginnings of cellular life on Earth. This underlines the importance of aging research in unicellular organisms such as a recent study by Lorenz et al., [(2009) Proc. Natl. Acad. Sci. U.S.A. 106, 1145-1150]. In their paper, the authors combine computational network identification with extensive experimentation and literature mining to discover and validate numerous regulatory interactions among ten genes involved in the cellular response to glucose starvation. Since low levels of glucose (calorie restriction) have been known to extend the longevity of various eukaryotes, the authors test the effect of Snf1 kinase overexpression on chronological aging and discover that this key regulator of glucose repression and two of its newly discovered synergistic repressors significantly affect the chronological lifespan of baker's yeast.

Entities:  

Year:  2010        PMID: 21119761      PMCID: PMC2929626          DOI: 10.2976/1.3366829

Source DB:  PubMed          Journal:  HFSP J        ISSN: 1955-205X


  33 in total

1.  The maintenance of the accuracy of protein synthesis and its relevance to ageing.

Authors:  L E ORGEL
Journal:  Proc Natl Acad Sci U S A       Date:  1963-04       Impact factor: 11.205

Review 2.  A simple model system for age-dependent DNA damage and cancer.

Authors:  F Madia; C Gattazzo; P Fabrizio; V D Longo
Journal:  Mech Ageing Dev       Date:  2006-11-21       Impact factor: 5.432

Review 3.  Oxidative mutagenesis, mismatch repair, and aging.

Authors:  Amy M Skinner; Mitchell S Turker
Journal:  Sci Aging Knowledge Environ       Date:  2005-03-02

Review 4.  Sensing your surroundings: how transcription-regulatory networks of the cell discern environmental signals.

Authors:  Gábor Balázsi; Zoltán N Oltvai
Journal:  Sci STKE       Date:  2005-05-03

Review 5.  The thorny path linking cellular senescence to organismal aging.

Authors:  Christopher K Patil; I Saira Mian; Judith Campisi
Journal:  Mech Ageing Dev       Date:  2005-10       Impact factor: 5.432

6.  Topological units of environmental signal processing in the transcriptional regulatory network of Escherichia coli.

Authors:  G Balázsi; A-L Barabási; Z N Oltvai
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-20       Impact factor: 11.205

7.  Contributions of low molecule number and chromosomal positioning to stochastic gene expression.

Authors:  Attila Becskei; Benjamin B Kaufmann; Alexander van Oudenaarden
Journal:  Nat Genet       Date:  2005-08-07       Impact factor: 38.330

8.  Contact-dependent inhibition of growth in Escherichia coli.

Authors:  Stephanie K Aoki; Rupinderjit Pamma; Aaron D Hernday; Jessica E Bickham; Bruce A Braaten; David A Low
Journal:  Science       Date:  2005-08-19       Impact factor: 47.728

Review 9.  Bacterially speaking.

Authors:  Bonnie L Bassler; Richard Losick
Journal:  Cell       Date:  2006-04-21       Impact factor: 41.582

Review 10.  Microbial cell individuality and the underlying sources of heterogeneity.

Authors:  Simon V Avery
Journal:  Nat Rev Microbiol       Date:  2006-08       Impact factor: 60.633

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  2 in total

Review 1.  Nucleic acid therapy for lifespan prolongation: present and future.

Authors:  Wing-Fu Lai
Journal:  J Biosci       Date:  2011-09       Impact factor: 1.826

Review 2.  We are ageing.

Authors:  Genovefa D Kolovou; Vana Kolovou; Sophie Mavrogeni
Journal:  Biomed Res Int       Date:  2014-06-22       Impact factor: 3.411

  2 in total

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