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dc.contributor.authorHochendoner, Philip Louisen
dc.date.accessioned2015-12-26T09:04:53Zen
dc.date.available2015-12-26T09:04:53Zen
dc.date.issued2015-12-12en
dc.identifier.othervt_gsexam:6884en
dc.identifier.urihttp://hdl.handle.net/10919/64373en
dc.description.abstractThe bulk of this thesis considers how biological rhythms (oscillators) can be made to synchronize their rhythms by virtue of coupling to an external signal. Such externally controlled synchronization, known as entrainment, is explored using a synthetic biology approach in E.~coli, where I have used rationally designed gene circuits as an experimental model. Two novel modes of entrainment are explored: entrainment by competition between components for degradation, and entrainment by a noisy (aperiodic) stimulus. Both of these modes of entrainment can be shown to strongly synchronize ensembles of synthetic gene oscillators, and thus, these modes of entrainment may be important to understand the appearance of synchrony in natural systems. In addition to the study of entrainment, this thesis contains a general background of relevant material, contributions to the biophysics of multisite proteases, and updated protocols for experimental procedures in microfluidics and microscopy.en
dc.format.mediumETDen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectBiophysicsen
dc.subjectSynthetic Biologyen
dc.subjectEntrainmenten
dc.subjectQueueingen
dc.titleEntrainment of Bacterial Synthetic Oscillators using Proteolytic Queueing and Aperiodic Signalingen
dc.typeDissertationen
dc.contributor.departmentPhysicsen
dc.description.degreePh. D.en
thesis.degree.namePh. D.en
thesis.degree.leveldoctoralen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplinePhysicsen
dc.contributor.committeechairMather, Williamen
dc.contributor.committeememberPleimling, Michel J.en
dc.contributor.committeememberRobinson, Hans D.en
dc.contributor.committeememberCheng, Shengfengen


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