The 62nd In Silico Megabank Research Seminar will be held on Friday, August 21. This Time, we will be welcoming Dr. Ashwini Patil, Institute of Medical Science, The University of Tokyo as our lecturer, and she will be speaking on identifying active gene sub-networks from time-course gene expression profiles using a network analysis method.
・Date: Friday, August 21, 2015
・Time: 5:00 pm ‐ 6:30 pm
・Venue : Small Conference Room 2(3rd Floor), Tohoku Medical Megabank Building
・Title: Identifying active gene sub-networks from time-course gene expression profiles using a network analysis method
・Lecturer : Ashwini Patil (The Institute of Medical Science, The University of Tokyo )
＊This lecture is transferable as a class in the medical research-related lecture course.
・Abstract : Time-course gene expression profiles are frequently used to study cellular response to stimulus and to infer molecular pathways involved in cellular response. I will introduce a method to identify active gene sub-networks with temporal paths using time-course gene expression profiles in the context of a weighted gene regulatory and protein-protein interaction network. The method uses a specialized form of the network flow optimization approach to identify the most probable paths connecting the genes with significant changes in expression at consecutive time intervals. We used this method to identify response pathways in the innate immune response using time course gene expression profiles of activated immune cells1 as well as the yeast osmotic stress response2. Using this method, we are now comparing the regulatory networks responsible for the distinct immune outcomes produced from different pathogens. Using these response networks, we would like to identify unique regulatory genes associated with each pathogenic component to help better understand the ways in which the immune response differs for distinct pathogens.
・Organizer : Masao Nagasaki