BIOHEALTH COMPUTING
MASTER THESIS JOINT RESEARCH PROJECT FORM
First name
Müge
Last name
Sayitoğlu
Status
PhD, Assoc. Prof.,
Institution or company
İstanbul University, Institute for Experimental Medicine
Research, Genetics Department
Laboratory
Genetics Lab 1
Adress 1
I.U. DETAE, Genetics Department
Adress 2
Vakif Gureba Cad , Fatih, İstanbul
Zip Code
34093
City
İstanbul
Country
Turkey
Email
mugeay@istanbul.edu.tr
Phone number
+902124142200-33312
Fax
+902126357757
Partner's or associate partner's Area
Molecular Medical Genetics
Major track
Molecular hematology, childhood leukemia
Minor track
Cancer
Thesis Title *
High resolution genomic analysis in childhood acute leukemia
Research probleme (1000 characters max) *
Childhood leukemia is the most common malignancy in children and mechanisms of leukemic
transformation are not well defined. In this project, we aimed to use of high resolution, genome-wide
approaches to identify genomic aberrations contributing to leukemogenesis. Best way to identify new
molecular markers is discovering the pathways in specific disease models. It is important to understand
how signaling pathways are involved in leukemogenesis and prognostic impacts of candidate genes. Our
group previously performed whole genome expression and methylation array studies and several
candidate pathways and molecules have already been determined. For example members of WNT and
TGF beta pathways are found to be deregulated in pediatric ALL patients. Several genes have been
found hyper methylated. Intracellular interactions and functional analysis of these proteins/genes needs
to be evaluated.
Objectives (General & specific) (500 characters max) *
High-resolution genomic data produced large number of candidate molecules. In this project we aimed
to define the risk pathways and analyze the intracellular interactions between the different
compartments of the pathway. Candidate molecules or pathways will be validated with the functional
studies.
Work program (Principles of The Protocol) (1500 characters max) *
Performed whole genome analysis (expression array, methylation array and SNP/CNV array) produced
several informatics data. The first thing to do is evaluation of bioinformatics data by using different
algorithms and determining the gene lists or pathways. Then, validation of these studies by using
different techniques in the primary cells of a different cohort needs to be done. We are also planning to
perform additional functional studies ( shRNA, PLA, cloning ) and set up in vitro cell culture models.
Keyword 1 *
Acute leukemia
Keyword 2 *
Signaling pathway
Keyword 3 *
Expression array
Keyword 4
Methylation array
Keyword 5
Bioinformatics
Major track *
 Molecular Biotechnology / Biophysics Nanotech
 Clinical Research
 Environment Health
 Computational Mathematics