These FIMM PhD students defended their thesis during 2017. Congratulations!
FIMM Dissertations 2017
Chemical systems biology studies of triple negative breast cancer cell lines
December 14th, 2017
The thesis of M.Sc Prson Gautam focused on exploring drug vulnerabilities of triple negative breast cancer (TNBC) cell lines to learn more about the molecular pathology of TNCB and to identify novel, druggable target molecules. The thesis work has been supervised by Tero Aittokallio and Krister Wennerberg.
In his thesis, Prson set up better ways of using the existing cell viability and toxicity readouts to determine drug responses using TNBC cell lines as a model. Furthermore, he developed novel drug response metrics and scores.
Consequences of balanced translocations and loss-of-function mutations
November 3rd, 2017
The thesis work of M.Sc. Tiia Maria Luukkonen aimed to characterize the molecular and phenotypic consequences of several balanced chromosomal rearrangements utilizing next generation sequencing. The thesis was supervised by Professor Aarno Palotie (FIMM) and Docent Teppo Varilo (UH).
In her thesis, Tiia studied the impact of a set of loss-of-function mutations on atopic dermatitis. She studied the consequences of balanced translocations in four Finnish families with different but severe symptoms. The thesis work made substantial progress in understanding the genetic causes of the symptoms the studied individuals had.
Nicotine Dependence – Identifying the Contribution of Specific Genes
June 2nd, 2017
M.Sc. Jenni Hällfors’ thesis focused on identifying genes predisposing individuals to smoking behavior and nicotine dependence. The thesis work has been supervised by Anu Loukola and Jaakko Kaprio.
In her thesis, Jenni concentrated on the best characterized smoking behavior locus on chromosome 15, which harbors three nicotine receptor subunit genes. She was able to confirm the earlier association findings and show that variation within this locus explains approximately 1% of the inter-individual differences in the daily smoking quantity.
Quantitative modeling and analysis of drug screening data for personalized cancer medicine
March 24th, 2017
The thesis work of M.Sc. Bhagwan Yadav focused on developing novel computational models for quantification of drug responses and to implement them on cancer patient data. The thesis has been supervised by FIMM-EMBL group leader Dr. Tero Aittokallio.
In his thesis Bhagwan describes three novel models for the analysis and integration of drug sensitivity data and demonstrates their robustness and better performance compared to the existing ones.The most important computational pipeline developed in the thesis is based on a novel metric to quantify drug response, called the drug sensitivity score (DSS).