Κατεύθυνση Βιοπληροφορική
Library of the School of Science

2018-08-01

2018

Fotakis Giorgos

Κωνσταντίνος Βοργιάς, Καθηγητής, Τομέας Βιοχημείας και Μοριακής Βιολογίας, Τμήμα Βιολογίας, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Χατζηιωάννου Αριστοτέλης, Ερευνητής Β, Ινστιτούτο Βιολογίας, Φαρμακευτικής Χημείας και Βιοτεχνολογίας , Εθνικό Ίδρυμα Ερευνών
Γεωργακίλας Αλέξανδρος, Τομέας Φυσικής, Επίκουρος Καθηγητής, Σχολή Εφαρμοσμένων Μαθηματικών και Φυσικών Επιστημών, Εθνικό Μετσόβιο Πολυτεχνείο

Ανάπτυξη αλγοριθμικής ροής για την συνθετική ανάλυση RNA – seq δεδομένων, με εφαρμογή στην διερεύνηση του γενετικού υποβάθρου εμφάνισης Μεταβολικού Συνδρόμου

Greek

Development of workflow for the integrative analysis of Metabolic Syndrome’s genetic background, using RNA – Seq data

The aim of the present Master's thesis was the development of an automated and reproducible integrative workflow to analyse complex traits in the Collaborative Cross (CC) mouse genetic reference panel (GRP) at the genomic and transcriptomic levels. The analytical workflow was implemented to assess the underlying genetic mechanisms of host susceptibility to diet induced obesity and integrate these results with diet induced changes in the hepatic gene expression of susceptible and resistant mice.
The results highlight that genetic mechanisms underlying susceptibility to high-fat diet (HFD) induced obesity differ in female and male mice. Hepatic gene expression differs significantly between obese and non-obese mice, with a significant sex effect, where male and female mice exhibit different responses and coping mechanisms. Integration of the data showed that different genes but similar pathways are involved in the genetic susceptibility in diet induced obesity and Metabolic Syndrome.

Science

Health Sciences

docker containers, collaborative cross, RNAseq, QTL, metabolic syndrome, obesity

No

0

Yes

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https://pergamos.lib.uoa.gr/uoa/dl/object/2779462