Coupling of PI3K signaling and actin-based cytoskeletal networks in cancer cell migration and metastasis?.
Coupling of PI3K signaling and actin-based cytoskeletal networks in cancer cell migration and metastasis?.
批准号:
9224246
负责人:
Chuan-Hsiang Huang
金额:
$15.17万
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:
已结题
起止时间:
2017-04-01 至 2020-03-31
关键词:
4T1ANGPTL2 geneActinsAffectAmericanAwardBehaviorBiological ModelsBiosensorBreast Cancer CellBreast Cancer ModelBreast Cancer PatientBreast Cancer cell lineCancer EtiologyCancer InterventionCancer PatientCancer cell lineCause of DeathCellsCellular MorphologyCellular biologyCessation of lifeChemotaxisClinicalCollaborationsCollagenConfocal MicroscopyCore FacilityCoupledCouplingDNA Sequence AlterationDevelopmentDictyosteliumDisseminated Malignant NeoplasmDistantEMS1 geneEnvironmentEventF-ActinFrequenciesFundingGenerationsGeneticGlassGoalsHumanHyperactive behaviorImaging TechniquesImmunocompromised HostImmunohistochemistryIn VitroInbred BALB C MiceInjectableInterventionLightMCF7 cellMDA MB 231Malignant NeoplasmsMeasuresMediatingMethodsMicroscopeMicroscopyMigration AssayModelingMolecularMovementMusMutateNeoplasm MetastasisOncogenicOperative Surgical ProceduresOrganPIK3CG genePTEN genePTK2 genePacemakersPathologyPatientsPharmacologyPhenotypePhototoxicityPrimary NeoplasmProcessPropertyRadiation therapyRefractoryResearchResearch PersonnelResolutionRoleSamplingSignal PathwaySignal TransductionSpecimenSpeedStimulusSystemTestingTissuesTrainingTumor Cell Migrationataxia telangiectasia mutated proteinbasebehavioral studycancer cellcancer therapycareercell motilitycellular imagingchemokinechemotherapyclinically relevantin vitro Assayin vivoin vivo Modelkillingslive cell imagingmalignant breast neoplasmmathematical modelmatrigelmetastatic processmigrationmolecular dynamicsmouse modelmutantneoplastic cellnetwork architectureneutrophiloutcome forecastoverexpressionresponsesample collectionskillsspatiotemporaltumor
中文摘要
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英文摘要
Abstract
Metastasis is responsible for the majority of cancer deaths despite progress in cancer
treatment over the past decades. The PI3K signaling pathway, which is mutated at high
frequencies in various forms of human cancers, has been implicated in the metastatic
process, but the cellular mechanism is poorly understood. Recent studies into the
fundamental mechanism of cell migration open up new opportunities to investigate how
cancer cells migrate and metastasize. Using Dictyostelium and human neutrophils as
models, the principle investigator (PI) has demonstrated that cell migration depends on
the coupling between an excitable Ras-PI3K network and a cytoskeletal network to drive
the formation of protrusions. The objectives of this proposal are (1) to assess to what
extent a similar coupling between an excitable PI3K signaling network and a cytoskeletal
network drives the migration of cancer cells; (2) to investigate how altered PI3K signaling
activity affect the dynamics of the molecular networks to change the motility and
metastatic behavior of cancer cells. To achieve these objectives, the PI will use cutting
edge imaging techniques to visualize the spatiotemporal dynamics of various signaling
and cytoskeletal activities in breast cancer cells to understand the features and functions
of these activities (Aim 1). The PI3K signaling activity will be altered using genetic or
pharmacological methods to study how the signaling and cytoskeletal activities are
affected, and how these changes affect the migration of cells in vitro (Aim 2). The
dynamics of the molecular networks in various cancer cells with or without altered Pi3K
signaling will then be correlated with their ability to metastasize in mice (Aim 3). Finally,
the PI3K signaling and cytoskeletal activities will be examined in primary and metastatic
tumors from breast cancer patients to confirm the clinical relevance of experimental
findings (Aim 4). The successful completion of these aims will provide valuable
information for developing molecular interventions for metastatic cancers. The PI has
received clinical training prior to his research career. The award will support the PI to
obtain preliminary results required for independent funding and acquire new skills
through collaboration, particularly regarding the use of mice and patient samples. The
long-term goal of the PI is to apply fundamental cell biology to the development of new
interventions for cancers.
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Deciphering the network structure of signaling dynamics
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批准号:10112925
-
项目类别:
-
资助金额:$34.39万
-
财政年份:2020
-
负责人:Chuan-Hsiang Huang
-
依托单位:
Deciphering the network structure of signaling dynamics
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批准号:10372957
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项目类别:
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资助金额:$34.39万
-
财政年份:2020
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负责人:Chuan-Hsiang Huang
-
依托单位:
Deciphering the network structure of signaling dynamics
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批准号:10589106
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项目类别:
-
资助金额:$34.39万
-
财政年份:2020
-
负责人:Chuan-Hsiang Huang
-
依托单位: