Dynamic readout of TGFb signaling and modeling of cell fate specification in huma
Dynamic readout of TGFb signaling and modeling of cell fate specification in huma
批准号:
8265116
负责人:
ALI H BRIVANLOU
金额:
$32.63万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-07-19 至 2016-04-30
关键词:
AdultBehaviorBiochemistryBiologicalBiological ModelsBiophysicsCell Differentiation processCell NucleusCell TherapyCellsClinicComplexComputersDataDevelopmentDimensionsEmbryoEmbryologyEmbryonic DevelopmentFrequenciesGeneticGenetic TranscriptionGoalsHumanImageIndividualJointsLaboratoriesLigandsLinkMalignant NeoplasmsMeasurementMeasuresMediatingMethodsMicrofluidicsModelingMolecularMonitorMusNuclear TranslocationOrganOutcomeOutputPathway interactionsPatternPhysicsPopulationProbabilityPropertyProteinsRecording of previous eventsRegenerative MedicineRegulationResolutionSignal PathwaySignal TransductionSignaling MoleculeStem cellsStimulusSystemTechniquesTechnologyTimeTissuesTransgenic Organismsbasecell fate specificationcell typecombinatorialdata integrationdesignegghuman embryonic stem cellhuman embryonic stem cell lineinhibitor/antagonistinterestmathematical modelmorphogenspredictive modelingprogramsresponsestem cell differentiationstem cell fatetool
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The transitions from egg to embryo to adult require that cells communicate with each other to acquire specialized fates at the right times in the correct places. Cancer is in part the result of aberrant regulation. Most of our information on signaling pathways comes from genetics and biochemistry on populations of cells, with stimuli typically reduced to a binary on/off. This project will adapt contemporary microfluidic technology to accurately control the concentrations of signaling molecules in time in multiple small chambers while continuously imaging the response of single cells via fluorescently tagged proteins that move in response to signals. We will use human embryonic stem cells (hESC) for this purpose because of their relevance to regenerative medicine. We will stimulate the cells with ligands from the TGF¿ pathway since they can induce the first round of developmental choices these cells naturally make. This pathway has two sub-branches that interfere, making it a natural context in which to study pathway interactions. Our data will be organized and developed into a predictive tool with which to rationally reprogram specialized fates from hESCs.
PUBLIC HEALTH RELEVANCE: To use human embryonic stem cells for regenerative medicine requires the ability to direct the differentiation of these cells to the required fates without causing genetic damage. We will follow the first steps of stem cell differentiation using new high-resolution techniques drawn from Physics and integrate the results using topological methods into predictive models.
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