Key nodes in the T-cell developmental gene regulatory network
Key nodes in the T-cell developmental gene regulatory network
批准号:
8290384
负责人:
ELLEN V. ROTHENBERG
金额:
$41.0万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-07-01 至 2016-06-30
关键词:
AccountingBindingBinding SitesBiologicalBone MarrowCell LineageCell modelCell physiologyCellsCharacteristicsChromatinClinicalComplexDevelopmentDevelopmental GeneDissectionE proteinEffector CellElementsEpigenetic ProcessEventFutureGene Expression ProfileGenerationsGenesGrowthHeterodimerizationImmunoprecipitationIn VitroKnock-outLinkMapsMeasuresMediatingModelingMolecularMultipotent Stem CellsMusNaturePathway interactionsPatternPhasePhenotypePhysiologicalProcessPropertyPublishingQuality ControlRegulationRegulator GenesRegulatory ElementResourcesSignal TransductionSiteSpecific qualifier valueStagingStem cellsSurveysSystemT-Cell DevelopmentT-LymphocyteTCF3 geneTestingTimebasecell determinationgenetic risk factorgenome-widehistone modificationknockout geneloss of functionmature animalmutantnetwork modelsnotch proteinoperationprogenitorresearch studyresponsetranscription factor
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): This project is to exploit recent advances that can help break open the gene network circuitry that mediates a pivotal stage in T cell development. T cell development is a model for the mechanism of cell fate choice starting from a physiological pool of multipotent stem cells. Mammalian T-cell development permits highly refined dissection of the process of lineage commitment, because in this system one can isolate intermediate precursors with progressive degrees of developmental potential restriction in high purity. Excellent in vitro systems for T-lineage differentiation enable the whole lineage choice process to occur in an open, experimentally accessible way. Specific gene knockout experiments have also identified a group of transcription factors needed for T-cell specification, including GATA-3 and E proteins. Based on gene regulatory effects measured in short-term transcription factor perturbation experiments, we have published a provisional gene network model for T-cell development. However, to explain the properties of the commitment process, three functions were needed in the network for which the agents were not known. This proposal is based on two very recent advances which we predict will now make it possible to account for the crucial functions in the network. These enable us to see that the process consists of two separable phases, the first dominated by regulatory factors inherited from the stem-cell precursor, the second dominated by a T-cell associated factor set. First we found that Bcl11b is the long-sought T-cell specific negative regulatory component that is needed to shift cells from phase 1 to phase 2. Bcl11b is turned on only as phase 1 ends, then needed to allow commitment and to turn off the stem-cell associated regulatory genes for phase 2. Second, we have generated a major resource: a full survey of transcriptome and genome-wide epigenetic marking changes across five stages throughout the T-cell specification process. We can thus complete identification of all genes dynamically regulated during T-cell commitment, identify candidates for nearly all cis-regulatory elements where active regulatory change occurs, and correlate regulatory status marks with sites for specific transcription factor binding to predict function. We hypothesize that Bcl11b expression is a readout for successful activation of a first wave of T-cell regulators in phase 1, and that when transition to phase 2 occurs, previously expressed factors including GATA-3 and E proteins then refocus their functions to turn on new T-cell specific genes. Using Bcl11b as a wedge to split the T-cell commitment process, we will first identify the cis- and trans-elements that turn Bcl11b itself on at the completion of phase 1. Using ChIPseq mapping in normal and Bcl11b mutant cells, we will also determine how the target site binding and associated histone modifications of E proteins and GATA-3 may shift from phase 1 to phase 2. We will then use gain and loss of function to test how phase 1 or phase 2 interaction partners of E proteins and GATA-3 can cause specific shifts in their deployment.
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依托单位:
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依托单位:
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依托单位:
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项目类别:
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资助金额:$41.0万
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财政年份:2011
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负责人:ELLEN V. ROTHENBERG
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依托单位:
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