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

A central goal of biogerontology is to identify robust gene-expression biomarkers of aging. Here we develop a method where the biomarkers are networks of genes selected based on age-dependent activity and a graph-theoretic property called modularity. Tested on Caenorhabditis elegans, our algorithm y...

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Detalles Bibliográficos
Autores principales: Fortney, Kristen, Kotlyar, Max, Jurisica, Igor
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872873/
https://www.ncbi.nlm.nih.gov/pubmed/20128910
http://dx.doi.org/10.1186/gb-2010-11-2-r13
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author Fortney, Kristen
Kotlyar, Max
Jurisica, Igor
author_facet Fortney, Kristen
Kotlyar, Max
Jurisica, Igor
author_sort Fortney, Kristen
collection PubMed
description A central goal of biogerontology is to identify robust gene-expression biomarkers of aging. Here we develop a method where the biomarkers are networks of genes selected based on age-dependent activity and a graph-theoretic property called modularity. Tested on Caenorhabditis elegans, our algorithm yields better biomarkers than previous methods - they are more conserved across studies and better predictors of age. We apply these modular biomarkers to assign novel aging-related functions to poorly characterized longevity genes.
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spelling pubmed-28728732010-05-20 Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging Fortney, Kristen Kotlyar, Max Jurisica, Igor Genome Biol Method A central goal of biogerontology is to identify robust gene-expression biomarkers of aging. Here we develop a method where the biomarkers are networks of genes selected based on age-dependent activity and a graph-theoretic property called modularity. Tested on Caenorhabditis elegans, our algorithm yields better biomarkers than previous methods - they are more conserved across studies and better predictors of age. We apply these modular biomarkers to assign novel aging-related functions to poorly characterized longevity genes. BioMed Central 2010 2010-02-03 /pmc/articles/PMC2872873/ /pubmed/20128910 http://dx.doi.org/10.1186/gb-2010-11-2-r13 Text en Copyright ©2010 Fortney et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Fortney, Kristen
Kotlyar, Max
Jurisica, Igor
Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging
title Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging
title_full Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging
title_fullStr Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging
title_full_unstemmed Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging
title_short Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging
title_sort inferring the functions of longevity genes with modular subnetwork biomarkers of caenorhabditis elegans aging
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872873/
https://www.ncbi.nlm.nih.gov/pubmed/20128910
http://dx.doi.org/10.1186/gb-2010-11-2-r13
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