Physical and Genetic Interaction Landscape of the Tyrosine Kinome
Physical and Genetic Interaction Landscape of the Tyrosine Kinome
批准号:
9309044
负责人:
Sourav Bandyopadhyay
金额:
$44.02万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-01 至 2019-06-30
关键词:
AddressAffinity ChromatographyApoptosisAtlasesBehaviorBindingBioinformaticsBiologicalBiological AssayBiologyCaliforniaCancer EtiologyCell LineCell physiologyCellsChemicalsClinicalCollaborationsCommunitiesComplementDataDatabasesDependencyDiabetes MellitusDiseaseEngineeringFollow-Up StudiesGeneticGenetic EpistasisGrowthHumanHuman GenomeIn VitroKnowledgeLabelLaboratoriesLibrariesMalignant NeoplasmsMammalian CellMammalsMapsMass Spectrum AnalysisMeasuresMediatingMissionModelingOutputPathogenesisPathway AnalysisPhenotypePhosphorylation SitePhosphotransferasesPhosphotyrosinePlayProcessProtein Tyrosine KinaseProtein-Protein Interaction MapProteinsProteomicsPublicationsQuantitative GeneticsRecording of previous eventsResearch PersonnelResourcesRoleSan FranciscoShapesSignal PathwaySignal TransductionStimulusTechniquesTranslatingTyrosineUniversitiesValidationYeastsanalogbasecell growthcell typechemical geneticsdata integrationdesignexpression vectorgenetic approachin vivoinnovationinsightmutantnetwork modelsnew therapeutic targetnovelnovel strategiespublic health relevancescaffoldtargeted biomarkertool
中文摘要
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英文摘要
DESCRIPTION (provided by applicant):
Signaling by tyrosine kinases play a major role in mammalian signal transduction and is a major component of nearly every major disease type. However, a systematic understanding of signaling pathways has remained elusive. While a number of techniques have been developed to map signaling pathways, used alone they only provide insight into one facet of signaling. We will use an integrative approach to chart the networks which control tyrosine kinase signaling at multiple levels through the use of complementary physical and genetic interaction mapping approaches. These maps will lead to network models which reflect proteins that can functionally modulate signaling and are physically associated with kinases including substrates, adaptors and regulatory subunits. To achieve this, the proposal integrates the complementary expertise of investigators at the University of California-San Francisco in high-throughput physical and genetic interaction mapping (Krogan), chemical-genetic approaches for tracing signaling pathways (Shokat) and network analysis and data integration (Bandyopadhyay). We aim to identify proteins that associate with tyrosine kinases through affinity purification-mass spectrometry (AP-MS) and kinase substrates through covalent capture-and-release in Aim 1. These data will be further characterized using a newly developed platform for quantitative genetic interaction mapping in mammalian cells, which will establish the functional relevance of these interactions by systematically identifying epistatic genetic relationships between kinases and associated proteins in Aim 2. Lastly, in Aim 3, we will unify data collected in the first two aims using network modeling to uncover detailed, mechanistic biological insights relating to mammalian tyrosine kinases. All data (raw, processed and integrated) will be made immediately available in an interactive and searchable fashion so that others can exploit the information we have collected on the tyrosine kinome.
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会议论文
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Physical and Genetic Interaction Landscape of the Tyrosine Kinome
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批准号:8697650
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项目类别:
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资助金额:$45.08万
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财政年份:2014
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负责人:Sourav Bandyopadhyay
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依托单位:
Modeling Core
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批准号:9068804
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项目类别:
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资助金额:$44.23万
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财政年份:--
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负责人:Sourav Bandyopadhyay
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依托单位:
Modeling Core
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项目类别:
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资助金额:$47.17万
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财政年份:--
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负责人:Sourav Bandyopadhyay
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依托单位:
Modeling Core
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批准号:8852063
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项目类别:
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资助金额:$42.86万
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财政年份:--
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依托单位:
Modeling Core
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批准号:8689909
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项目类别:
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资助金额:$47.73万
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财政年份:--
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负责人:Sourav Bandyopadhyay
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依托单位:
海外基金