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SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes.
Bunu, Gabriela; Toren, Dmitri; Ion, Catalin-Florentin; Barardo, Diogo; Sârghie, Larisa; Grigore, Laurentiu Gabriel; de Magalhães, João Pedro; Fraifeld, Vadim E; Tacutu, Robi.
Afiliação
  • Bunu G; Systems Biology of Aging Group, Institute of Biochemistry of the Romanian Academy, Bucharest, Romania.
  • Toren D; Systems Biology of Aging Group, Institute of Biochemistry of the Romanian Academy, Bucharest, Romania.
  • Ion CF; The Shraga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
  • Barardo D; Systems Biology of Aging Group, Institute of Biochemistry of the Romanian Academy, Bucharest, Romania.
  • Sârghie L; Science Divisions, Yale, NUS College, Singapore, Singapore.
  • Grigore LG; Systems Biology of Aging Group, Institute of Biochemistry of the Romanian Academy, Bucharest, Romania.
  • de Magalhães JP; Space Comp SRL, Bucharest, Romania.
  • Fraifeld VE; Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK.
  • Tacutu R; The Shraga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Sci Data ; 7(1): 366, 2020 10 26.
Article em En | MEDLINE | ID: mdl-33106474
Interventional studies on genetic modulators of longevity have significantly changed gerontology. While available lifespan data are continually accumulating, further understanding of the aging process is still limited by the poor understanding of epistasis and of the non-linear interactions between multiple longevity-associated genes. Unfortunately, based on observations so far, there is no simple method to predict the cumulative impact of genes on lifespan. As a step towards applying predictive methods, but also to provide information for a guided design of epistasis lifespan experiments, we developed SynergyAge - a database containing genetic and lifespan data for animal models obtained through multiple longevity-modulating interventions. The studies included in SynergyAge focus on the lifespan of animal strains which are modified by at least two genetic interventions, with single gene mutants included as reference. SynergyAge, which is publicly available at www.synergyage.info , provides an easy to use web-platform for browsing, searching and filtering through the data, as well as a network-based interactive module for visualization and analysis.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Longevidade Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Longevidade Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article