Inferring the Functions of Longevity Genes with Modular Subnetwork Biomarkers of Caenorhabditis Elegans Aging
Overview
Authors
Affiliations
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.
Bapteste E, Huneman P, Keller L, Teuliere J, Lopez P, Teeling E Ageing Res Rev. 2023; 89:101982.
PMID: 37321383 PMC: 10771319. DOI: 10.1016/j.arr.2023.101982.
Improving Analysis and Annotation of Microarray Data with Protein Interactions.
Kotlyar M, Wong S, Pastrello C, Jurisica I Methods Mol Biol. 2021; 2401:51-68.
PMID: 34902122 DOI: 10.1007/978-1-0716-1839-4_5.
BiT age: A transcriptome-based aging clock near the theoretical limit of accuracy.
Meyer D, Schumacher B Aging Cell. 2021; 20(3):e13320.
PMID: 33656257 PMC: 7963339. DOI: 10.1111/acel.13320.
Ulgen E, Ozisik O, Sezerman O Front Genet. 2019; 10:858.
PMID: 31608109 PMC: 6773876. DOI: 10.3389/fgene.2019.00858.
Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data.
Holzinger A, Haibe-Kains B, Jurisica I Eur J Nucl Med Mol Imaging. 2019; 46(13):2722-2730.
PMID: 31203421 DOI: 10.1007/s00259-019-04382-9.