Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Home 
 People 
 Current 
 Executive Committee 
 Postdocs 
 Visitors 
 Students 
 Research 
 Publications 
 Conferences 
 Workshops 
 Sponsorship 
 Talks 
 Seminars 
 Postdoc Seminars Archive 
 Quantum Lunch 
 Quantum Lunch Archive 
 P/T Colloquia 
 Archive 
 Ulam Scholar 
 
 Postdoc Nominations 
 Student Requests 
 Student Program 
 Visitor Requests 
 Description 
 Past Visitors 
 Services 
 General 
 
 History of CNLS 
 
 Maps, Directions 
 CNLS Office 
 T-Division 
 LANL 
 
Thursday, February 10, 2011
2:00 PM - 3:00 PM
CNLS Conference Room (TA-3, Bldg 1690)

Postdoc Seminar

Integrated Experimental and Computational Identification of Stochastic Gene Regulation

Brian Munsky
CCS-3 and CNLS

An important goal of systems biology is to understand and predict how cells sense and respond to their environments in the presence of biochemical noise. Although recent studies have revealed many components in these signal transduction and gene regulation pathways, it remains difficult to predict the phenotypic diversity of cellular dynamics. This poster will introduce a comprehensive approach to identify and validate gene regulation models using dynamic single-cell/single-molecule experiments and stochastic analyses. This integrated approach automatically generates hypotheses, proposes optimal experiments, and discards, validates or refines existing hypotheses. Beginning with several thousand hypotheses, we identify a single predictive model of STL1 gene regulation during osmotic shock in yeast. We validate the final model with quantitative predictions at diverse environmental and genetic conditions, which extend well beyond its training data. Our integrated experimental and computational approach is extremely general and applicable to any signal transduction and gene regulation pathway in bacteria, yeast, or human cells.

Host: Peter Loxley, loxley@lanl.gov