Literature DB >> 15280050

GenAge: a genomic and proteomic network map of human ageing.

João Pedro de Magalhães1, Olivier Toussaint.   

Abstract

The aim of this work was to provide an overview of the genetics of human ageing to gain novel insights about the mechanisms involved. By incorporating findings from model organisms to humans, such as mutations that either delay or accelerate ageing in mice, we constructed the gene networks previously related to ageing: namely, the network related to DNA metabolism and the network involving the GH/IGF-1 axis. Gathering data about the interacting partners of these proteins allowed us to suggest the involvement in ageing of a number of proteins through a "guilt-by-association" methodology. To organize our data, we developed the first curated database of genes related to human ageing: GenAge. With over 200 entries, GenAge may serve as a reference database of genes related to human ageing. Moreover, we rendered the first proteomic network map of human ageing, which suggests a relationship between the genetics of development and the genetics of ageing. Our work serves as a framework upon which a systems-biology understanding of ageing can be developed. GenAge is freely available for academic purposes at: http://genomics.senescence.info/genes/.

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Year:  2004        PMID: 15280050     DOI: 10.1016/j.febslet.2004.07.006

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  39 in total

Review 1.  Dynamic energy budget approaches for modelling organismal ageing.

Authors:  Ingeborg M M van Leeuwen; Julio Vera; Olaf Wolkenhauer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

Review 2.  Genetics of extreme human longevity to guide drug discovery for healthy ageing.

Authors:  Zhengdong D Zhang; Sofiya Milman; Jhih-Rong Lin; Shayne Wierbowski; Haiyuan Yu; Nir Barzilai; Vera Gorbunova; Warren C Ladiges; Laura J Niedernhofer; Yousin Suh; Paul D Robbins; Jan Vijg
Journal:  Nat Metab       Date:  2020-07-27

3.  Novel integration of hospital electronic medical records and gene expression measurements to identify genetic markers of maturation.

Authors:  David P Chen; Susan C Weber; Philip S Constantinou; Todd A Ferris; Henry J Lowe; Atul J Butte
Journal:  Pac Symp Biocomput       Date:  2008

4.  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

Review 5.  A budding yeast's perspective on aging: the shape I'm in.

Authors:  Jessica Smith; Jill Wright; Brandt L Schneider
Journal:  Exp Biol Med (Maywood)       Date:  2015-03-27

6.  Identification and Application of Gene Expression Signatures Associated with Lifespan Extension.

Authors:  Alexander Tyshkovskiy; Perinur Bozaykut; Anastasia A Borodinova; Maxim V Gerashchenko; Gene P Ables; Michael Garratt; Philipp Khaitovich; Clary B Clish; Richard A Miller; Vadim N Gladyshev
Journal:  Cell Metab       Date:  2019-07-25       Impact factor: 27.287

Review 7.  The Human Ageing Genomic Resources: online databases and tools for biogerontologists.

Authors:  João Pedro de Magalhães; Arie Budovsky; Gilad Lehmann; Joana Costa; Yang Li; Vadim Fraifeld; George M Church
Journal:  Aging Cell       Date:  2008-11-05       Impact factor: 9.304

8.  Gerontome: a web-based database server for aging-related genes and analysis pipelines.

Authors:  Jekeun Kwon; Byungwook Lee; Haeyoung Chung
Journal:  BMC Genomics       Date:  2010-12-02       Impact factor: 3.969

9.  NeuroMuscleDB: a Database of Genes Associated with Muscle Development, Neuromuscular Diseases, Ageing, and Neurodegeneration.

Authors:  Mohammad Hassan Baig; Iliyas Rashid; Prachi Srivastava; Khurshid Ahmad; Arif Tasleem Jan; Gulam Rabbani; Dukhwan Choi; George E Barreto; Ghulam Md Ashraf; Eun Ju Lee; Inho Choi
Journal:  Mol Neurobiol       Date:  2019-01-25       Impact factor: 5.590

10.  A methodology for the analysis of differential coexpression across the human lifespan.

Authors:  Jesse Gillis; Paul Pavlidis
Journal:  BMC Bioinformatics       Date:  2009-09-22       Impact factor: 3.169

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