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SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes

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...

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Autores principales: Bunu, Gabriela, Toren, Dmitri, Ion, Catalin-Florentin, Barardo, Diogo, Sârghie, Larisa, Grigore, Laurentiu Gabriel, de Magalhães, João Pedro, Fraifeld, Vadim E., Tacutu, Robi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589469/
https://www.ncbi.nlm.nih.gov/pubmed/33106474
http://dx.doi.org/10.1038/s41597-020-00710-z
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author Bunu, Gabriela
Toren, Dmitri
Ion, Catalin-Florentin
Barardo, Diogo
Sârghie, Larisa
Grigore, Laurentiu Gabriel
de Magalhães, João Pedro
Fraifeld, Vadim E.
Tacutu, Robi
author_facet Bunu, Gabriela
Toren, Dmitri
Ion, Catalin-Florentin
Barardo, Diogo
Sârghie, Larisa
Grigore, Laurentiu Gabriel
de Magalhães, João Pedro
Fraifeld, Vadim E.
Tacutu, Robi
author_sort Bunu, Gabriela
collection PubMed
description 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.
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spelling pubmed-75894692020-10-29 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 Sci Data Data Descriptor 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. Nature Publishing Group UK 2020-10-26 /pmc/articles/PMC7589469/ /pubmed/33106474 http://dx.doi.org/10.1038/s41597-020-00710-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Bunu, Gabriela
Toren, Dmitri
Ion, Catalin-Florentin
Barardo, Diogo
Sârghie, Larisa
Grigore, Laurentiu Gabriel
de Magalhães, João Pedro
Fraifeld, Vadim E.
Tacutu, Robi
SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes
title SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes
title_full SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes
title_fullStr SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes
title_full_unstemmed SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes
title_short SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes
title_sort synergyage, a curated database for synergistic and antagonistic interactions of longevity-associated genes
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589469/
https://www.ncbi.nlm.nih.gov/pubmed/33106474
http://dx.doi.org/10.1038/s41597-020-00710-z
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