Dynamic Regulation of Growth Factor Signaling Networks
Dynamic Regulation of Growth Factor Signaling Networks
批准号:
8286870
负责人:
Jason M. Haugh
金额:
$27.86万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2014-06-30
关键词:
AddressBiochemicalBiochemical PathwayBiologicalBiological AssayCancer cell lineCell SurvivalCellsCellular biologyChronicComplexComputer SimulationDataDefectDevelopmentDiseaseExhibitsExperimental ModelsFeedbackFibroblast Growth Factor ReceptorsFibroblastsFluorescence MicroscopyGTP BindingGoalsGrowthGrowth FactorGrowth Factor ReceptorsGuanosine Triphosphate PhosphohydrolasesHandHybridsImmune System DiseasesIndividualInterventionKineticsLifeMEKsMalignant NeoplasmsMammalian CellMapsMass Spectrum AnalysisMeasurementMethodsMicroscopyMitogen-Activated Protein KinasesModalityMolecularMolecular ProfilingMolecular TargetMutationOncogenesOncogenicOutcomePathway interactionsPatternPhosphatidylinositolsPhosphotransferasesPhysiologicalPlatelet-Derived Growth FactorPlatelet-Derived Growth Factor ReceptorProcessPropertyProteomicsProto-Oncogene Protein c-kitReceptor CellReceptor SignalingRegulationRelative (related person)ShapesSignal TransductionSignal Transduction PathwayStimulusSystemTissuesVariantWorkWound Healingbasecell growthcell motilitycomparativecomputerized data processingmathematical modelmutantnetwork modelsnovelpopulation basedpublic health relevancereceptorreceptor-mediated signalingresearch studyresponsesuccesstumor progression
中文摘要
描述(由申请人提供):在哺乳动物细胞生物学中,一个持续的挑战是弥合我们对分子,细胞和组织水平过程理解的差距。生物复杂性层次的中心是信号转导领域,它涉及细胞对外部刺激反应的生化机制和途径。这个项目的首要目标是将信号转导领域从线性的、以路径为中心的框架转移到以网络为中心的框架;做这个;我们正在量化反馈调节和串扰相互作用的复杂性,已经证明了我们在阐明成纤维细胞中生长因子受体介导的信号传导的动力系统特征方面的方法。定量实验研究了一系列细胞刺激和分子扰动条件,以及计算模型,全面阐明了哺乳动物细胞中Ras-和磷酸肌肽3激酶(PI3K)依赖性信号的动态特征,这些信号由ERK(表征最好的丝裂原激活蛋白激酶(MAPK))整合。某些挑战仍然存在,并将在使用分子和计算方法提出的努力中得到解决:1)将串扰和调节反馈的分子决定因素映射到信号网络的动态特征上;2)在单细胞水平探测PI3K/Erk信号反应的多样性;3)受体系统与细胞系统信号网络的比较分析;4)阐明含癌基因细胞中慢性失调信号网络的机制。
英文摘要
DESCRIPTION (provided by applicant): In mammalian cell biology, an ongoing challenge is to bridge the gaps in our understanding of processes at the molecular, cellular, and tissue levels. Central to this hierarchy of biological complexity is the field of signal transduction, which deals with the biochemical mechanisms and pathways by which cells respond to external stimuli. The over-arching goal of this project is to move the signal transduction field from a linear, pathway-centric framework to a network-centric one; to do this; we are quantifying the complexities of feedback regulation and crosstalk interactions, having demonstrated our approach in elucidating dynamical system features of growth factor receptor-mediated signaling in fibroblasts. Quantitative experiments canvassing an array of cell stimulation and molecular perturbation conditions, together with computational modeling, have comprehensively elucidated the dynamic features of Ras- and phosphoinositide 3-kinase (PI3K)-dependent signaling integrated by ERK, the best-characterized mitogen- activated protein kinase (MAPK) in mammalian cells. Certain challenges remain and will be addressed in the proposed effort using molecular and computational approaches: 1) Mapping the molecular determinants of crosstalk and regulatory feedback onto dynamic features of the signaling network; 2) Probing the diversity of PI3K/Erk signaling responses at the single-cell level; 3) Comparative analysis of signaling networks among receptor and cell systems; and 4) Elucidating mechanisms of chronically perturbed signaling networks in cells harboring oncogenes.
PUBLIC HEALTH RELEVANCE: The goals of this project are to study the complex interactions between specific biochemical pathways that control cell growth and survival during wound healing and which contribute to the progression of cancer. By analyzing these mechanisms quantitatively and using mathematical models, we hope to be able to predict the outcomes of interventions targeting the molecular players in these pathways.
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科研奖励(0)
会议论文
Multi-cue Guidance of Mesenchymal Cell Migration
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资助金额:$28.88万
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财政年份:2021
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批准号:10370385
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批准号:10650313
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资助金额:$49.29万
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财政年份:2020
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批准号:10197961
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项目类别:
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资助金额:$45.0万
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财政年份:2020
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依托单位:
NC STATE MOLECULAR BIOTECHNOLOGY TRAINING PROGRAM (MBTP)
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批准号:10434091
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批准号:9342887
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资助金额:$48.42万
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财政年份:2014
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负责人:Jason M. Haugh
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依托单位:
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批准号:8925080
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项目类别:
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资助金额:$47.45万
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财政年份:2014
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负责人:Jason M. Haugh
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依托单位:
Multiscale Modeling of Wound Healing
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批准号:10002331
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项目类别:
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资助金额:$51.36万
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财政年份:2014
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负责人:Jason M. Haugh
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依托单位:
Multiscale Modeling of Wound Healing
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批准号:10251888
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项目类别:
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资助金额:$50.33万
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财政年份:2014
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负责人:Jason M. Haugh
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依托单位:
Multiscale Modeling of Wound Healing
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批准号:8744539
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项目类别:
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资助金额:$50.08万
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财政年份:2014
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负责人:Jason M. Haugh
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依托单位:
Multiscale Modeling of Wound Healing
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资助金额:$48.42万
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财政年份:2014
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负责人:Jason M. Haugh
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依托单位:
Protein Biosensors with Customized Properties for Live-Cell Imaging
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批准号:8549838
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项目类别:
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资助金额:$18.63万
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财政年份:2012
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负责人:Jason M. Haugh
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依托单位:
Protein Biosensors with Customized Properties for Live-Cell Imaging
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批准号:8445814
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财政年份:2012
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负责人:Jason M. Haugh
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依托单位:
MODEL OF PI3K/RHO-FAMILY GTPASE INTERPLAY DURING FIBROBLAST SPREADING
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项目类别:
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财政年份:2011
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负责人:Jason M. Haugh
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依托单位:
Dynamic Regulation of Growth Factor Signaling Networks
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批准号:8007069
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项目类别:
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资助金额:$28.25万
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财政年份:2010
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负责人:Jason M. Haugh
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依托单位:
MODEL OF PI3K/RHO-FAMILY GTPASE INTERPLAY DURING FIBROBLAST SPREADING
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批准号:8169574
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项目类别:
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资助金额:$3.26万
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财政年份:2010
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负责人:Jason M. Haugh
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依托单位:
Dynamic Regulation of Growth Factor Signaling Networks
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批准号:8502680
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项目类别:
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资助金额:$26.83万
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财政年份:2010
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负责人:Jason M. Haugh
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依托单位:
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负责人:Jason M. Haugh
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依托单位:
海外基金