Abstract
An algorithm for determining networks from gene expression data enables the identification of genes potentially linked to aging in worms.
Highlights
Aging is a highly complex biological process involving an elaborate series of transcriptional changes
We found that one-third of the Gene Ontology (GO) biological processes (12 of 37) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways (10 of 27) associated with subnetworks were significantly enriched for longevity genes (P < 0.05)
Aging results not from individual genes acting in isolation of one another, but from the combined activity of sets of associated genes representing a multiplicity of different biological pathways
Summary
Aging is a highly complex biological process involving an elaborate series of transcriptional changes. These changes can vary substantially in different species, in different individuals of the same species, and even in different cells of the same individual [1,2,3]. Because of this complexity, transcriptional signatures of aging are often subtle, making microarray data difficult to interpret - more so than for many diseases [4,5].
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
