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Physics Colloquium - Monday, March
1st, 2010,
3:00 P.M. E300 Math/Science
Center; Refreshments at 2:30 P.M. in
Room E200
Savas Tay
Department of Bioengineering Stanford University
Decoding signaling networks using microfluidics: NF-&kappaB dynamics reveal digital responses to inflammatory signals
The mammalian immune response is a striking
example of the coordinated operation of many
cell types. Intercellular communication is
mediated by signaling molecules that form
concentration gradients, which requires cells
to respond to a wide range of signal
intensities. We used high-throughput
microfluidic cell culture, quantitative gene
expression analysis and mathematical modeling
to investigate how mammalian cells respond to
different concentrations of the signaling
molecule TNF-&alpha, and modulate gene
expression via the transcription factor
NF-&kappaB. We measured NF-&kappaB activity
in thousands of live cells under TNF-&alpha
doses covering four orders of magnitude. In
contrast to population studies (i.e. Western
Blot's), NF-&kappaB activation is found to be
a switch-like process at the single cell level
with fewer cells responding at lower
doses. The activated cells up-regulate early
genes independent of the TNF-&alpha
concentration, while only high dose
stimulation results in the expression of
late-term genes. Cells also encode a subtle
set of analog parameters such as the NF-&kappaB peak intensity, response time and number of
oscillations to modulate the outcome. Using
our comprehensive data, we developed a
mathematical model that reproduces both the
digital and analog dynamics as well as the
gene expression profiles at all measured
conditions, constituting a broadly applicable
model of NF-&kappaB signaling. In addition to their biological significance, our results highlight the value of high-throughput quantitative measurements at the single-cell level in understanding how biological systems operate.
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