Spatiotemporal Dynamics of the Genome by 3D Orbital Tracking
Spatiotemporal Dynamics of the Genome by 3D Orbital Tracking
批准号:
10514845
负责人:
Matthew Lee Ferguson
金额:
$39.2万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
未结题
起止时间:
2017-05-01 至 2025-07-31
关键词:
3-DimensionalAddressAlternative SplicingBayesian AnalysisBindingBiological ProcessCOVID-19COVID-19 treatmentCardiomyopathiesCell NucleusCellsClinicalCollaborationsComplexComputer ModelsCorticosteroneCouplingDNADataDexamethasoneDiseaseDistalElementsEstrogen ReceptorsEukaryotic CellEventFluorescenceFluorescence MicroscopyGene ActivationGene ExpressionGene Expression ProfileGene Expression RegulationGenesGenetic TranscriptionGenomeGlucocorticoid ReceptorGoalsHairy Cell LeukemiaHealthHormonesHumanIn VitroInstitutesIntronsKineticsLabelLaboratoriesLengthLigandsLightLocationMalignant NeoplasmsMeasurementMeasuresMethodologyMethodsModelingMolecularMonitorMyopathyNational Cancer InstituteNetherlandsNuclear ExportOutcomeParkinson DiseasePatientsPharmacologic SubstancePositioning AttributeProcessProteinsRNARNA ProcessingRNA SplicingRaloxifeneRegulationRegulatory ElementReporter GenesResearchResearch PersonnelResponse ElementsSamplingSevere Acute Respiratory SyndromeSideSpectrum AnalysisSpliceosomesTamoxifenTestingTimeTranscriptTranscription CoactivatorTranscription InitiationTranscriptional ActivationUniversitiesWorkacute myeloid leukemia cellautism spectrum disorderbasebeta Globincell typeclinically relevantexperimental studyfluorescence imaginggenetic informationglucocorticoid-induced orphan receptorin vivoinsightmalignant breast neoplasmnervous system disordernovelphysical modelpublic health relevancereceptor bindingresponsesingle moleculespatiotemporaltemporal measurementtime usetooltranscription factor
中文摘要
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英文摘要
The expression of genetic information depends on the fate of RNA transcripts. In Eukaryotic cells, this
fate is determined by the successful execution of several processes, including transcription (initiation, elongation,
and release) splicing, nuclear export and degradation. These processes are not independent in space or time.
The rate and completion of any one process may influence that of another, and kinetic studies conducted on
isolated components can be misleading or incomplete. Unfortunately, the coordinated kinetics of RNA processing
events remains poorly understood primarily due to a lack of experiments that can either reproduce it in vitro or
visualize it in vivo.
The main goal of our research is to understand the molecular mechanisms underlying the functioning of
the living genome. Our main tool is live cell single molecule fluorescence microscopy. By fluorescently labeling
protein and RNA molecules and DNA elements within living cells we can determine the spatiotemporal
relationships between them that govern gene expression and RNA splicing at an active gene in a living cell. Our
most recent work has measured the timing of gene activation by the transcription factor Glucocorticoid receptor
after binding to dexamethasone and the temporal coordination of transcription[1,2] and splicing of intron 2 of a
human beta globin reporter gene[3]. We do this using novel single molecule approaches and cutting edge live
cell single molecule fluorescence microscopy. Our methods are based on fluorescence correlation spectroscopy
which utilizes high temporal resolution to characterize changes in fluorescence intensity at a location in space
and time and relates that to molecular concentrations, interactions and dwelltime using physical and
computational models. Models are tested using Bayesian inference criterion.
This research will directly benefit patients suffering from SARS, Breast cancer, AML and hairy cell
leukemia's by showing the molecular mechanism leading to disease and clinical outcomes. It will also open new
research avenues into the molecular basis of neurological and muscle diseases with origins in alternative splicing
mis regulation such as Parkinson's disease, Autism, ALS and Cardiomyopathies.
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Equipment for Spatiotemporal Dynamics of the Genome by 3D Orbital Tracking
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批准号:10797983
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项目类别:
-
资助金额:$9.76万
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财政年份:2017
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负责人:Matthew Lee Ferguson
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依托单位:
海外基金