Literature DB >> 18986374

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

João Pedro de Magalhães1, Arie Budovsky, Gilad Lehmann, Joana Costa, Yang Li, Vadim Fraifeld, George M Church.   

Abstract

Aging is a complex, challenging phenomenon that requires multiple, interdisciplinary approaches to unravel its puzzles. To assist basic research on aging, we developed the Human Ageing Genomic Resources (HAGR). This work provides an overview of the databases and tools in HAGR and describes how the gerontology research community can employ them. Several recent changes and improvements to HAGR are also presented. The two centrepieces in HAGR are GenAge and AnAge. GenAge is a gene database featuring genes associated with aging and longevity in model organisms, a curated database of genes potentially associated with human aging, and a list of genes tested for their association with human longevity. A myriad of biological data and information is included for hundreds of genes, making GenAge a reference for research that reflects our current understanding of the genetic basis of aging. GenAge can also serve as a platform for the systems biology of aging, and tools for the visualization of protein-protein interactions are also included. AnAge is a database of aging in animals, featuring over 4000 species, primarily assembled as a resource for comparative and evolutionary studies of aging. Longevity records, developmental and reproductive traits, taxonomic information, basic metabolic characteristics, and key observations related to aging are included in AnAge. Software is also available to aid researchers in the form of Perl modules to automate numerous tasks and as an SPSS script to analyse demographic mortality data. The HAGR are available online at http://genomics.senescence.info.

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Year:  2008        PMID: 18986374      PMCID: PMC2635494          DOI: 10.1111/j.1474-9726.2008.00442.x

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


  32 in total

1.  Skin-derived fibroblasts from long-lived species are resistant to some, but not all, lethal stresses and to the mitochondrial inhibitor rotenone.

Authors:  James M Harper; Adam B Salmon; Scott F Leiser; Andrzej T Galecki; Richard A Miller
Journal:  Aging Cell       Date:  2006-12-05       Impact factor: 9.304

2.  An analysis of the relationship between metabolism, developmental schedules, and longevity using phylogenetic independent contrasts.

Authors:  João Pedro de Magalhães; Joana Costa; George M Church
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2007-02       Impact factor: 6.053

3.  Strong variations of mitochondrial mutation rate across mammals--the longevity hypothesis.

Authors:  Benoit Nabholz; Sylvain Glémin; Nicolas Galtier
Journal:  Mol Biol Evol       Date:  2007-11-12       Impact factor: 16.240

4.  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

5.  Telomerase activity coevolves with body mass not lifespan.

Authors:  Andrei Seluanov; Zhuoxun Chen; Christopher Hine; Tais H C Sasahara; Antonio A C M Ribeiro; Kenneth C Catania; Daven C Presgraves; Vera Gorbunova
Journal:  Aging Cell       Date:  2006-12-14       Impact factor: 9.304

6.  Quantitative evidence for conserved longevity pathways between divergent eukaryotic species.

Authors:  Erica D Smith; Mitsuhiro Tsuchiya; Lindsay A Fox; Nick Dang; Di Hu; Emily O Kerr; Elijah D Johnston; Bie N Tchao; Diana N Pak; K Linnea Welton; Daniel E L Promislow; James H Thomas; Matt Kaeberlein; Brian K Kennedy
Journal:  Genome Res       Date:  2008-03-13       Impact factor: 9.043

7.  Analyses of human-chimpanzee orthologous gene pairs to explore evolutionary hypotheses of aging.

Authors:  João Pedro de Magalhães; George M Church
Journal:  Mech Ageing Dev       Date:  2007-03-25       Impact factor: 5.432

8.  Mitochondrially encoded cysteine predicts animal lifespan.

Authors:  Bernd Moosmann; Christian Behl
Journal:  Aging Cell       Date:  2007-11-19       Impact factor: 9.304

9.  A modular network model of aging.

Authors:  Huiling Xue; Bo Xian; Dong Dong; Kai Xia; Shanshan Zhu; Zhongnan Zhang; Lei Hou; Qingpeng Zhang; Yi Zhang; Jing-Dong J Han
Journal:  Mol Syst Biol       Date:  2007-12-04       Impact factor: 11.429

10.  Low rates of hydrogen peroxide production by isolated heart mitochondria associate with long maximum lifespan in vertebrate homeotherms.

Authors:  Adrian J Lambert; Helen M Boysen; Julie A Buckingham; Ting Yang; Andrej Podlutsky; Steven N Austad; Thomas H Kunz; Rochelle Buffenstein; Martin D Brand
Journal:  Aging Cell       Date:  2007-06-27       Impact factor: 9.304

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  73 in total

1.  Accelerated protein evolution analysis reveals genes and pathways associated with the evolution of mammalian longevity.

Authors:  Yang Li; João Pedro de Magalhães
Journal:  Age (Dordr)       Date:  2011-12-29

Review 2.  Gadd45 proteins: relevance to aging, longevity and age-related pathologies.

Authors:  Alexey A Moskalev; Zeljka Smit-McBride; Mikhail V Shaposhnikov; Ekaterina N Plyusnina; Alex Zhavoronkov; Arie Budovsky; Robi Tacutu; Vadim E Fraifeld
Journal:  Ageing Res Rev       Date:  2011-10-05       Impact factor: 10.895

3.  The effect of osteoprotegerin gene modification on wear debris-induced osteolysis in a murine model of knee prosthesis failure.

Authors:  Tao Zhang; Haiying Yu; Weiming Gong; Laibo Zhang; Tanghong Jia; Paul H Wooley; Shang-You Yang
Journal:  Biomaterials       Date:  2009-08-07       Impact factor: 12.479

4.  An ontology-neutral framework for enrichment analysis.

Authors:  Rob Tirrell; Uday Evani; Ari E Berman; Sean D Mooney; Mark A Musen; Nigam H Shah
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

5.  FUdR causes a twofold increase in the lifespan of the mitochondrial mutant gas-1.

Authors:  Jeremy Michael Van Raamsdonk; Siegfried Hekimi
Journal:  Mech Ageing Dev       Date:  2011-08-27       Impact factor: 5.432

Review 6.  Next-generation sequencing in aging research: emerging applications, problems, pitfalls and possible solutions.

Authors:  João Pedro de Magalhães; Caleb E Finch; Georges Janssens
Journal:  Ageing Res Rev       Date:  2009-11-10       Impact factor: 10.895

7.  Preadult life history variation determines adult transcriptome expression.

Authors:  William J Etges; Cássia de Oliveira; Subhash Rajpurohit; Allen G Gibbs
Journal:  Mol Ecol       Date:  2016-02       Impact factor: 6.185

8.  Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging.

Authors:  Kristen Fortney; Max Kotlyar; Igor Jurisica
Journal:  Genome Biol       Date:  2010-02-03       Impact factor: 13.583

9.  Network strategies to understand the aging process and help age-related drug design.

Authors:  Gábor I Simkó; Dávid Gyurkó; Dániel V Veres; Tibor Nánási; Peter Csermely
Journal:  Genome Med       Date:  2009-09-28       Impact factor: 11.117

10.  miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.

Authors:  Matthias Hackl; Stefan Brunner; Klaus Fortschegger; Carina Schreiner; Lucia Micutkova; Christoph Mück; Gerhard T Laschober; Günter Lepperdinger; Natalie Sampson; Peter Berger; Dietmar Herndler-Brandstetter; Matthias Wieser; Harald Kühnel; Alois Strasser; Mark Rinnerthaler; Michael Breitenbach; Michael Mildner; Leopold Eckhart; Erwin Tschachler; Andrea Trost; Johann W Bauer; Christine Papak; Zlatko Trajanoski; Marcel Scheideler; Regina Grillari-Voglauer; Beatrix Grubeck-Loebenstein; Pidder Jansen-Dürr; Johannes Grillari
Journal:  Aging Cell       Date:  2010-01-18       Impact factor: 9.304

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