Εξειδίκευση τύπου :	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	Network analysis in aged C. elegans reveals candidate regulatory genes of ageing
Δημιουργός/Συγγραφέας:	Aktypi, Foteini Papaevgeniou, Nikoletta [EL] Βουτετάκης, Κωνσταντίνος[EN] Voutetakis, Konstantinos [EL] Χατζηιωάννου, Αριστοτέλης[EN] Chatziioannou, Aristotelis Grune, Tilman [EL] Χονδρογιάννη, Νίκη[EN] Chondrogianni, Niki
Εκδότης:	Springer Nature
Ημερομηνία:	2021-06
Γλώσσα:	Αγγλικά
ISSN:	1389-5729 1573-6768
DOI:	10.1007/s10522-021-09920-3
Άλλο:	33871732
Περίληψη:	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.
Τίτλος πηγής δημοσίευσης:	Biogerontology
Τόμος/Κεφάλαιο:	22
Τεύχος:	3
Σελίδες:	345–367
Θεματική Κατηγορία:	[EL] Βιοπληροφορική[EN] Bioinformatics [EL] Χημική Βιολογία[EN] Chemical Biology [EL] Βιοχημεία[EN] Biochemistry [EL] Βιολογία (Γενικά)[EN] Biology (General)
Λέξεις-Κλειδιά:	Ageing C. elegans Gene expression regulation Microarrays Network analysis Aging Animals Genes, Regulator Longevity Caenorhabditis elegans Caenorhabditis elegans Proteins
Κάτοχος πνευματικών δικαιωμάτων:	Copyright © 2021 The Authors, under exclusive licence to Springer Nature B.V.
Ηλεκτρονική διεύθυνση στον εκδότη (link):	https://link.springer.com/article/10.1007/s10522-021-09920-3#author-information
Ηλεκτρονική διεύθυνση περιοδικού (link) :	https://www.springer.com/journal/10522
Εμφανίζεται στις συλλογές:	Ινστιτούτο Χημικής Βιολογίας - Επιστημονικό έργο