Albany 2013: Book of Abstracts
June 11-15 2013
©Adenine Press (2012)
Network Inference and Analysis of Parkinson’s Disease
Based on existing literature and publicly available expression datasets, a map of Parkinson’s disease (PD) has been inferred in collaborative effort with other teams in LCSB and Systems Biology Institute (SBI), Tokyo, Japan. However, due to the increased complexity of the map, human intuition is often insufficient in understanding the initiation, functional regulation and progression of this disease. Hence, it is necessary to mine the information content of this network to make sense of this abundance complex information. To this end, current work aims to analyze the network topology and dynamics of the PD map, using Boolean modeling. Grounded on perturbation analysis, the work also aims to obtain a system level understanding of the genotype-phenotype relationships, to identify key components in the disease regulation and to generate experimentally testable hypothesis for PD susceptibility and progression. Methodology includes using existing graph theoretical analysis tools, as well as to develop rigorous sophisticated analysis tools which could be vital for understanding the disease pathology and for successful quantitative modeling. In general, the major focus and contribution of this work aims at the fields of statistical inference, graph analysis and dynamic modeling in systems biology.
Antonio Del Sol Mesa
Luxembourg Centre for Systems Biomedicine (LCSB)