Literature DB >> 18050504

Gene expression changes associated with aging in C. elegans.

Tamara R Golden1, Simon Melov.   

Abstract

Great inroads into the understanding of aging have been made using C. elegans as a model system. Several genes have been identified that, when mutated, can extend lifespan. Yet, much about aging remains a mystery, and new technologies that allow the simultaneous assay of expression levels of thousands of genes have been applied to the question of how and why aging might occur. With correct experimental design and statistical analysis, differential gene expression between two or more populations can be obtained with high confidence. The ability to survey the entire genome in an unbiased way is a great asset for the study of complex biological phenomena such as aging. Aging undoubtedly involves changes in multiple genes involved in multiple processes, some of which may not yet be known. Gene expression profiling of wild type aging, and of strains with increased life spans, has provided some insight into potential mechanisms, and more can be expected in the future.

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Mesh:

Year:  2007        PMID: 18050504      PMCID: PMC4781587          DOI: 10.1895/wormbook.1.127.2

Source DB:  PubMed          Journal:  WormBook        ISSN: 1551-8507


  27 in total

Review 1.  TGF-β signaling in C. elegans.

Authors:  Tina L Gumienny; Cathy Savage-Dunn
Journal:  WormBook       Date:  2013-07-10

Review 2.  Microfluidic tools for developmental studies of small model organisms--nematodes, fruit flies, and zebrafish.

Authors:  Hyundoo Hwang; Hang Lu
Journal:  Biotechnol J       Date:  2012-11-19       Impact factor: 4.677

3.  Integration of carbohydrate metabolism and redox state controls dauer larva formation in Caenorhabditis elegans.

Authors:  Sider Penkov; Damla Kaptan; Cihan Erkut; Mihail Sarov; Fanny Mende; Teymuras V Kurzchalia
Journal:  Nat Commun       Date:  2015-08-20       Impact factor: 14.919

4.  Effect of life history on microRNA expression during C. elegans development.

Authors:  Xantha Karp; Molly Hammell; Maria C Ow; Victor Ambros
Journal:  RNA       Date:  2011-02-22       Impact factor: 4.942

5.  Metabolome and proteome changes with aging in Caenorhabditis elegans.

Authors:  Neil Copes; Clare Edwards; Dale Chaput; Mariam Saifee; Iosif Barjuca; Daniel Nelson; Alyssa Paraggio; Patrick Saad; David Lipps; Stanley M Stevens; Patrick C Bradshaw
Journal:  Exp Gerontol       Date:  2015-09-21       Impact factor: 4.032

6.  Meta-analysis of global metabolomic data identifies metabolites associated with life-span extension.

Authors:  Gary J Patti; Ralf Tautenhahn; Darcy Johannsen; Ewa Kalisiak; Eric Ravussin; Jens C Brüning; Andrew Dillin; Gary Siuzdak
Journal:  Metabolomics       Date:  2014-08-01       Impact factor: 4.290

7.  Knockout of the folate transporter folt-1 causes germline and somatic defects in C. elegans.

Authors:  Misa U Austin; Wei-Siang Liau; Krishnaswamy Balamurugan; Balasubramaniem Ashokkumar; Hamid M Said; Craig W LaMunyon
Journal:  BMC Dev Biol       Date:  2010-05-04       Impact factor: 1.978

8.  A practical, bioinformatic workflow system for large data sets generated by next-generation sequencing.

Authors:  Cinzia Cantacessi; Aaron R Jex; Ross S Hall; Neil D Young; Bronwyn E Campbell; Anja Joachim; Matthew J Nolan; Sahar Abubucker; Paul W Sternberg; Shoba Ranganathan; Makedonka Mitreva; Robin B Gasser
Journal:  Nucleic Acids Res       Date:  2010-08-03       Impact factor: 16.971

Review 9.  Mouse models of oxidative phosphorylation defects: powerful tools to study the pathobiology of mitochondrial diseases.

Authors:  Alessandra Torraco; Francisca Diaz; Uma D Vempati; Carlos T Moraes
Journal:  Biochim Biophys Acta       Date:  2008-06-13

10.  Cell-specific monitoring of protein synthesis in vivo.

Authors:  Nikos Kourtis; Nektarios Tavernarakis
Journal:  PLoS One       Date:  2009-02-23       Impact factor: 3.240

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