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BEGIN:VEVENT
DTSTAMP:20260907T093047Z
LAST-MODIFIED:20141121T201848Z
DTSTART:20141202T190000Z
DTEND:20141202T200000Z
UID:event1364@bu.edu
URL:http://physics.bu.edu/internal/events/show/1364
SUMMARY:Nonlinearity and Stochasticity in Biochemical Networks
DESCRIPTION:Featuring Javad Noorbakhsh\n\nPart of the PhD Final Oral Exams.
	\n\nDissertation Committee:  Pankaj Mehta\, Kiril Korolev\, Martin Schmaltz
	\, Rama Bansil\, Daniel Segre\n\nAbstract:\nUnicellular organisms exhibit e
	laborate collective behaviors in response to environmental cues. These beha
	viors are controlled by complex biochemical networks within individual cell
	s and coordinated through cell-to-cell communication.  Describing these beh
	aviors requires new mathematical models that can bridge scales -- from bioc
	hemical networks within individual cells to spatially structured cellular p
	opulations. Here\, I present a multiscale model for the emergence of collec
	tive behavior in the social amoeba Dictyostelium discoideum. These cells no
	rmally live as individual organisms\, but upon starvation\, communicate thr
	ough periodic secretion of the small signaling molecule cAMP. The proposed 
	model exploits new experimental advances that allow for the direct measurem
	ent and manipulation of this molecule. Inspired by these experiments\, I mo
	del the Dictyostelium signaling network as a noisy excitable system coupled
	 to a pre-processing module. I use this model to study spatially unstructur
	ed populations by constructing phase diagrams that relate the properties of
	 population-level oscillations to parameters in the underlying biochemical 
	network. Then\, I extend this model to include spatial structure and show h
	ow it naturally gives rise to spiral waves. On each scale of complexity\, t
	he behavior of the model is compared to experimental results. This modeling
	 approach provides a powerful tool for bridging scales in modeling of Dicty
	ostelium populations.\n\n\n![Javad](/resources/event-image/1364/7c72166_sma
	ll)
LOCATION:SCI 352\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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