Unit:
Κατεύθυνση ΒιοπληροφορικήΠληροφορική
Supervisors info:
Άρτεμις Χατζηγεωργίου, Καθηγήτρια, Τμήμα Μηχανικών Υ/Η, Τηλεπικοινωνιών και Δικτύων, Πανεπιστήμιο Θεσσαλίας
Γεώργιος Σπύρου, Επικεφαλής της ομάδας Βιοπληροφορικής, Κυπριακό Ινστιτούτο Νευρολογίας και Γενετικής
Μαρία Παρασκευοπούλου, Ερευνήτρια/Επιστημονικός Συνεργάτης
Σέργιος Θεοδωρίδης, Καθηγητής, Τμήμα Πληροφορικής και Τηλεπικοινωνιών, Πανεπιστήμιο Αθηνών
Original Title:
Ανάλυση χαμηλής και υψηλής απόδοσης πειραματικών μεθόδων για συλλογή επιβεβαιωμένων γονιδίων στόχων των miRNAs
Translated title:
Analysis of low and high throughput experimental techniques for the collection of validated genes that are miRNA targets
Summary:
MicroRNAs are small non-coding RNA molecules considered to be the main post-transcriptional regulators of gene expression. In the past few years, the great interest of understanding their functional role has lead to vigorous research efforts concerning the biogenesis and function of miRNAs.
One of the most important processes in miRNA research is the identification of the interactions they have with their target genes. These interactions can be verified by high and/or low throughput experimental techniques. Microarrays are a high throughput technique vastly applied in the miRNA research, as a means to examine the transcriptome-wide effects of the overexpression or inhibition of a miRNA under study. The wealth of information that lies in microarray datasets can be meticulously processed in order to infer interactions of miRNAs and their target genes.
In this thesis, different approaches of microarray data processing were applied, and a comparison of them was made to examine the most reliable data processing method. Apart from the miRNA:gene interactions that emerged from the Microarrays, the scope of this thesis was also to collect data regarding interactions verified by the low throughput technique of the Reporter genes in various cell types and under different experimental conditions. Considering that this method can provide the exact location of the binding site, great emphasis was given on its derived data.
The collection of data related to these interactions can be used in a wide range of applications, including the update of a relevant database, or the training of miRNA target prediction algorithms.
Main subject category:
Technology - Computer science
Keywords:
microRNAs, Microarrays, Reporter genes, experimentally verified targets, microarray data processing
