Integrated Analysis of Hematopoietic Precursor Self-renewal and Differentiation
Integrated Analysis of Hematopoietic Precursor Self-renewal and Differentiation
批准号:
8321470
负责人:
JIaqian Wu-Huber
金额:
$24.27万
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:
2011-08-20 至 2014-07-31
关键词:
AwardBindingBinding SitesBiochemicalBiological ModelsCD34 geneCD34+ precursorCellsChIP-seqDataErythroidGene ExpressionGeneticGenomicsGoalsHematopoieticHumanIn VitroLeadLiteratureLymphocyteMapsModificationMolecularMyelogenousNatural regenerationNuclear TranslocationOrganPhasePost-Translational Protein ProcessingProcessPropertyProteinsProteomicsPublic HealthRNARUNX1 geneResearchStem cellsTestingTherapeuticTissue-Specific Gene ExpressionTranscriptional RegulationWorkbaseimprovednovelprecursor cellrepairedself-renewalstem cell fatetranscription factor
中文摘要
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英文摘要
The goal of this proposal for activafing the independent phase (ROO) stays the same as that of the
original proposal for the award, i.e., to generate a novel and Integrated view ofthe mechanisms of
hematopoietic precursor self-renewal and differentiation using EML (erythroid, myeloid, and lymphocytic)
multipotenfial cells as a model system. EML cells are ideal for studying the molecular control of eariy
hematopoietic differentiation at a large scale. EML cells give rise to the self-renewing CD34+ precursor cells
and partially differenfiated non-renewing CD34- cells. Large quantities of EML cells can be grown and
differentiated in vitro in the absence of an anatomical niche. Based on my K99 phase of study in differenfial
gene expression, and of transcription factor binding using Chip-Sequencing, I hypothesize that there are key
regulators in transcriptional regulatory networks determining the choice between EML cell self-renewal and
differentiation, such as TCF7 and RUNX1. I have already constmcted preliminary transcripfional regulatory
circuits regulated by TCF7 and RUNXI. For my ROO phase of research, 1 plan to globally identify the key
transcriptional regulators controlling EML cell self-renewal and differenfiafion by using gene expression and
proteomic data to guide the transcripfional regulafion work. The binding targets and transcription factors will
be assembled into regulatory networks and I will identify target hubs and test for master regulators.
Subsequenfiy I will integrate our genomic, proteomics, phosphorylafion data and literature into the
transcripfion factor binding networks and further develop a global interaction network. Finally I will confirm
key findings in human primary cells. The proposed project can lead to molecular and biochemical studies in
my own lab for many years to come.
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