Literature DB >> 15153179

Microarray analysis of gene expression with age in individual nematodes.

Tamara R Golden1, Simon Melov.   

Abstract

We compare the aging of wild-type and long-lived C. elegans by gene expression profiling of individual nematodes. Using a custom cDNA array, we have characterized the gene expression of 4-5 individuals at 4 distinct ages throughout the adult lifespan of wild-type N2 nematodes, and at the same ages for individuals of the long-lived strain daf-2(e1370). Using statistical tools developed for microarray data analysis, we identify genes that differentiate aging N2 from aging daf-2, as well as classes of genes that change with age in a similar way in both genotypes. Our novel approach of studying individual nematodes provides practical advantages, since it obviates the use of mutants or drugs to block reproduction, as well as the use of stressful mass-culturing procedures, that have been required for previous microarray studies of C. elegans. In addition, this approach has the potential to uncover the molecular variability between individuals of a population, variation that is missed when studying pools of thousands of individuals. Copyright 2004 Blackwell Publishing Ltd.

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Mesh:

Year:  2004        PMID: 15153179     DOI: 10.1111/j.1474-9728.2004.00095.x

Source DB:  PubMed          Journal:  Aging Cell        ISSN: 1474-9718            Impact factor:   9.304


  44 in total

1.  Temporal and spatial transcriptional profiles of aging in Drosophila melanogaster.

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Journal:  Genome Res       Date:  2007-07-10       Impact factor: 9.043

Review 2.  Systems biology of aging in four species.

Authors:  Jacob M Zahn; Stuart K Kim
Journal:  Curr Opin Biotechnol       Date:  2007-08-02       Impact factor: 9.740

3.  Molecular characterization of the transition to mid-life in Caenorhabditis elegans.

Authors:  D Mark Eckley; Salim Rahimi; Sandra Mantilla; Nikita V Orlov; Christopher E Coletta; Mark A Wilson; Wendy B Iser; John D Delaney; Yongqing Zhang; William Wood; Kevin G Becker; Catherine A Wolkow; Ilya G Goldberg
Journal:  Age (Dordr)       Date:  2012-05-20

4.  Age-associated changes in expression of small, noncoding RNAs, including microRNAs, in C. elegans.

Authors:  Masaomi Kato; Xiaowei Chen; Sachi Inukai; Hongyu Zhao; Frank J Slack
Journal:  RNA       Date:  2011-08-02       Impact factor: 4.942

5.  Network analysis in aged C. elegans reveals candidate regulatory genes of ageing.

Authors:  Foteini Aktypi; Nikoletta Papaevgeniou; Konstantinos Voutetakis; Aristotelis Chatziioannou; Tilman Grune; Niki Chondrogianni
Journal:  Biogerontology       Date:  2021-04-19       Impact factor: 4.277

6.  Lymphoid neogenesis and immune infiltration in aged liver.

Authors:  Pallavi Singh; Zeynep Z Coskun; Catriona Goode; Adam Dean; LuAnn Thompson-Snipes; Gretchen Darlington
Journal:  Hepatology       Date:  2008-05       Impact factor: 17.425

7.  A stress-sensitive reporter predicts longevity in isogenic populations of Caenorhabditis elegans.

Authors:  Shane L Rea; Deqing Wu; James R Cypser; James W Vaupel; Thomas E Johnson
Journal:  Nat Genet       Date:  2005-07-24       Impact factor: 38.330

8.  Genome-wide patterns of gene expression during aging in the African malaria vector Anopheles gambiae.

Authors:  Mei-Hui Wang; Osvaldo Marinotti; Anthony A James; Edward Walker; John Githure; Guiyun Yan
Journal:  PLoS One       Date:  2010-10-13       Impact factor: 3.240

Review 9.  Target identification for CNS diseases by transcriptional profiling.

Authors:  C Anthony Altar; Marquis P Vawter; Stephen D Ginsberg
Journal:  Neuropsychopharmacology       Date:  2008-10-15       Impact factor: 7.853

10.  Dynamic expression of small non-coding RNAs, including novel microRNAs and piRNAs/21U-RNAs, during Caenorhabditis elegans development.

Authors:  Masaomi Kato; Alexandre de Lencastre; Zachary Pincus; Frank J Slack
Journal:  Genome Biol       Date:  2009-05-21       Impact factor: 13.583

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