Thursday, May 31, 20122:00 PM - 3:00 PMCNLS Conference Room (TA-3, Bldg 1690)|
Spatiotemporal Measurements and Modeling of Genetic Expression
Doug ShepherdMPA-CINT, CNLS
Single-‐molecule, single-‐cell studies of genetic expression have provided key insights into how cells respond to external stimuli [1-‐5]. By directly measuring copy numbers of individual biomolecules in cells, such as the number of individual messenger RNA transcripts, it is now possible to obtain statistical measures of the spatio-‐temporal distributions of key signaling and regulatory molecules. Such comprehensive datasets can be used to infer system-‐level models that yield quantitative insight into cellular regulation, predict cellular responses in new experimental conditions, and suggest more revealing experiments to uncover regulatory dynamics. The integration of single-‐molecule spectroscopy, biochemistry,and numerical modeling is a powerful multi-‐disciplinary approach to investigating cellular response at the genetic level.
In this talk I will provide a walk-‐through of our single-‐molecule experiments, data analysis, and numerical modeling for one specific example, the Interleukin-‐1 alpha pathway . I will specifically focus on how the large amount of information in these datasets allows one to probe what types of fluctuations are most informative about the underlying gene regulatory process.
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 Raj A., et al., Nat Meth, 5(10), 877-‐879 (2008).
 Katranidis A, et al., Angew Chem Int Edit 48(10), 1578-‐1761 (2009).  Shepherd D.P., et al, Proc. SPIE 8228, 8228-‐08 (2012).
Host: Kipton Barros, T-4 and CNLS