Talk

 

Name:      Dr. Michal Komorowski
  Polish Academy of Science
Institute of Fundamental Technological Research
  Homepage (external Link)
Date/Location: Tuesday, May 10th 2016, 5 pm,  Building 28 /  Room 27
Title:  Information flow in signalling pathways
Abstact: High throughput experimental approaches and the advances of computational capabilities continue to reshape modern biology. Thus, mathematical biology offers new possibilities for mathematicians and biologists to explore signal transduction, an important and highly complex aspect of cell biology. The molecular mechanisms how cells transduce biochemical signals are widely understood. Biochemical descriptions however failed to reveal how stimuli are translated into distinct responses. Signalling pathways are highly complex as they are functionally pleiotropic and biochemical reactions intrinsically stochastic. In the talk I will try to present how mathematical methods of information theory and probabilistic dynamical modelling can contribute to understanding of how information flows in signalling pathways.In particular, I will present developed analytical and computational tools required to improve our understanding how cellular signalling processes can derive a variety of distinct outputs from complex inputs. To overcome limitations of existing methods we have integrated advanced concepts of statistical inference with information theory and high content confocal imaging. The concepts have been applied to obtain new insights into mechanisms that govern dose dependent responses to type I interferons via STAT1 and STAT2 pathways as well as to TNF via NF-kB pathway.

Interested guests are welcome!     

Last Modification: 26.11.2018 - Contact Person: Fred Schaper