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Rapid Characterization of Cellular Pathways Using Time-Varying Signals

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Show simple item record Thomson, Ty M Endy, Drew 2005-12-07T23:20:00Z 2005-12-07T23:20:00Z 2005-10-21
dc.description Poster presented at the 2005 ICSB meeting, held at Harvard Medical School in Boston, MA. en
dc.description.abstract The use of traditional tools for the discovery and characterization of biological systems has resulted in a wealth of biological knowledge. Unfortunately, only a small portion of the biological world is well-understood to date, and the study of the rest remains a daunting task. This work involves using time-varying stimuli in order to more rapidly interrogate and characterize signaling pathways. The time-dependent stimulation of a signaling pathway can be used in conjunction with a model of the pathway to efficiently evaluate and test hypotheses. We are developing this technology using the yeast pheromone signal transduction pathway as a model system. The time-varying stimuli will be applied to the yeast cells via a novel microfluidic device, and the pathway output will be measured via various fluorescent reporters. The output of the pathway can then be compared to the output from a computational model of the pathway in order to test hypotheses and constrain our knowledge of the pathway. Initial work shows that a computational model can be used to identify stimuli time-courses that increase the parameter sensitivity, meaning that corresponding experiments could potentially be much more informative. en
dc.format.extent 2764288 bytes
dc.format.mimetype application/
dc.language.iso en_US en
dc.publisher International Conference on Systems Biology en
dc.subject Pheromone Response en
dc.subject Time-Varying Signals en
dc.subject Microfluidics en
dc.title Rapid Characterization of Cellular Pathways Using Time-Varying Signals en
dc.type Presentation en
dc.type Other en
dc.identifier.citation Ty Thomson and Drew Endy. Rapid Characterization of Cellular Pathways Using Time-Varying Signals. Sixth International Conference on Systems Biology, 2005. en

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