1. Network analysis in aged C. elegans reveals candidate regulatory genes of ageing
- Author
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Nikoletta Papaevgeniou, Foteini Aktypi, Niki Chondrogianni, Tilman Grune, Konstantinos Voutetakis, and Aristotelis Chatziioannou
- Subjects
0301 basic medicine ,Regulation of gene expression ,Aging ,Candidate gene ,Longevity ,Computational biology ,Biology ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Ageing ,Genes, Regulator ,Gene expression ,Gene chip analysis ,Animals ,Geriatrics and Gerontology ,DNA microarray ,Caenorhabditis elegans ,Caenorhabditis elegans Proteins ,Gerontology ,Developmental biology ,030217 neurology & neurosurgery ,Regulator gene - Abstract
Ageing is a biological process guided by genetic and environmental factors that ultimately lead to adverse outcomes for organismal lifespan and healthspan. Determination of molecular pathways that are affected with age and increase disease susceptibility is crucial. The gene expression profile of the ideal ageing model, namely the nematode Caenorhabditis elegans mapped with the microarray technology initially led to the identification of age-dependent gene expression alterations that characterize the nematode's ageing process. The list of differentially expressed genes was then utilized to construct a network of molecular interactions with their first neighbors/interactors using the interactions listed in the WormBase database. The subsequent network analysis resulted in the unbiased selection of 110 candidate genes, among which well-known ageing regulators appeared. More importantly, our approach revealed candidates that have never been linked to ageing before, thus suggesting promising potential targets/ageing regulators.
- Published
- 2021
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