Center for Theoretical Biological Physics
Chemical and Biomolecular Engineering
Dean of Engineering
Dean of Natural Sciences
Physics & Astronomy
University of California, Los Angeles
“Cellular Variability and Information Flow in Signal Transduction Networks”
Tuesday, February 7, 2017
to 1:30 PM
1060 A/B BioScience Research Collaborative
6500 Main St.
Houston, Texas, USA
Abstract: Signaling networks acts as sensors, or measurement devices, that provides information on the extracellular environment to allow cells to respond to environmental changes appropriately. Experimental single cell measurements of signaling responses indicated high level of response variability raising the possibility that cellular responses are limited in their biochemical accuracy. I will discuss our efforts to examine the question of the accuracy of cellular signal transduction networks. I will show how cells utilize of temporal signal modulation--that is, dynamics--to reduce noise-induced information loss and increase the accuracy of cellular response. I will show that cellular population is composed of mixtures of different cellular states, and that the existence of multiple cellular states explains some of the observed cell-to-cell variability. Through the use of mixture of multiple classes of multivariate cellular responses a cellular population can increase its response appropriately to environmental changes.
Biography of Roy Wollman:
Roy Wollman did his PhD work on theoretical analysis of the mitotic spindle working with Alex Mogilner in UC Davis. He then moved to Stanford to learn microscopy and do experiments on mammalian cell signaling in the lab of Tobias Meyer where he worked on signaling control of the actin cytoskeleton. He started his own lab in in UCSD in 2012 and he just recently moved to UCLA to be part of the Institute for Quantitative and Computational Bioscience. His lab uses variety of experimental and computational approaches to study information processing in intracellular and intercellular signaling networks in the presence of a high degree of single-cell variability.