Realistic In-Silico Study of Biological Systems

Abstract:

 

Abstract:

Understanding the dynamics of stem cell population, developmental systems and diseases over time is a key question in developmental biology research. The dynamics of these systems and the way it develops a healthy tissue has potential implications in regenerative medicine, tissue engineering and cancer therapeutics. However, technical hurdles in recording multiple time point imaging prevent existing experimental techniques from revealing the dynamics of the development. Indeed, state-of-the-art techniques are able to record merely a few cell divisions. In recent years, using software engineering tools, we synthesize experimental data into computational models, a powerful yet underutilized tool, to address dynamic aspect of the developmental process. This approach enables to integrate previous studies of isolated subcomponents of the process into the development as a whole. The simulations provided a means to change parameters and analyze the development in-silico, and thereby test hypothesis, predict unforeseen phenomena and postulate hypotheses that could guide future experimental trials. To date, three organs from diverse evolutionary organisms have been thus modeled: the mouse pancreas, the C. elegans gonad, and partial rodent brain development. Recently, we have utilized these principles to study the dynamics of glucose homeostasis in healthy and diabetic in-silico subjects. Analysis and execution of the models recapitulated the development of the organs, anticipated known experimental results and gave rise to novel testable predictions, some of which were already been tested experimentally

 

תאריך: 
21/03/2012 - 15:00
מרצה: 
Yaki Setty
דוא"ל להרשמה: 
Affiliation: 
Max-Planck-Institut fur Informatik and Computer Science Department, Saarbrucken, Germany.
מיקום: 
building 1103, Room 329