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High-Throughput Microfluidic Technologies for Systems Studies of Protein Signaling in Yeast
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Cellular signaling is fundamentally dynamic.
Cells exist in dynamically changing environments.
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Prototypical Signaling Pathway
Haploid (1N) Diploid (2N)
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Experimental System for Quantitative Dynamic Cellular Signaling
Modulate the chemical environment precisely over time. Resolve clonal population heterogeneity. Track and measure individual cells over time. Gene expression & phenotype High-throughput to obtain a system level understanding. Microfluidic System for Live Cell Fluorescent Microscopy
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µFluidics - Multilayer Soft Lithography
BLUE – cell flow lines RED – control lines 8 strains x 32 experimental conditions x time
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Non-Adherent Cell Trapping
Microchamber Sieve Valve
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Fully Automated Live Cell Microscopy
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Genetic Perturbations
X Kinetic Stimuli Genetic Perturbations PRE::GFP INPUT OUTPUT
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a-factor concentration dependent cell response
Δh time Single step function 32 different a-factor concentrations in range 0nM to 100nM Exponential increments (ci=1.16i), i is the row number
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a-factor concentration dependent cell response
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a-factor concentration dependent cell response
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a-factor concentration dependent cell response
WT increasing a-factor
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Over 3,000 Live Cell Imaging Experiments
Δw Single pulse function 4 different a-factor concentrations 8 different pulse widths Δh time Δw Repeated pulse function 4 different a-factor concentrations 4 different pulse delays Δh time
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Acknowledgements: Paper: Didier Falconnet Timothy Galitski Carl Hansen
Antti Niemisto Susi Prinz Stephen Ramsey Ilya Shmulevich Galitski Lab: Greg Carter, Song Li Hansen Lab: Milenko Despotovic, Mark Homenuke Hieter Lab: Phil Hieter, Kirk McManus, Ben Montpetit, Jan Stoepel, Karen Yuen
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