Literature DB >> 17116322

Longevity network: construction and implications.

Arie Budovsky1, Amir Abramovich, Raphael Cohen, Vered Chalifa-Caspi, Vadim Fraifeld.   

Abstract

The vast majority of studies on longevity have focused on individual genes/proteins, without adequately addressing the possible role of interactions between them. This study is the first attempt towards constructing a "longevity network" via analysis of human protein-protein interactions (PPIs). For this purpose, we (i) compiled a complete list of established longevity genes from different species, including those that most probably affect the longevity in humans, (ii) defined the human orthologs of the longevity genes, and (iii) determined whether the encoded proteins could be organized as a network. The longevity gene-encoded proteins together with their interacting proteins form a continuous network, which fits the criteria for a scale-free network with an extremely high contribution of hubs to the network connectivity. Most of them have never been annotated before in connection with longevity. Remarkably, almost all of the hubs of the "longevity network" were reported to be involved in at least one age-related disease (ARD), with many being involved in several ARDs. This may be one of the ways by which the proteins with multiple interactions affect the longevity. The hubs offer the potential of being primary targets for longevity-promoting interventions.

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Year:  2006        PMID: 17116322     DOI: 10.1016/j.mad.2006.11.018

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  34 in total

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

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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
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10.  Disease-aging network reveals significant roles of aging genes in connecting genetic diseases.

Authors:  Jiguang Wang; Shihua Zhang; Yong Wang; Luonan Chen; Xiang-Sun Zhang
Journal:  PLoS Comput Biol       Date:  2009-09-25       Impact factor: 4.475

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