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Imaging mechanisms of metastatic tumor formation in situ

Imaging mechanisms of metastatic tumor formation in situ
原位转移性肿瘤形成的成像机制
批准号:
10684857
负责人:
Gaudenz Danuser
金额:
$153.65万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-24 至 2026-08-31
关键词:
3-DimensionalAccelerationAdaptor Signaling ProteinAdoptedAffectAlgorithmsArchitectureAutomobile DrivingBiologicalBiological AssayBiological ModelsBlood VesselsCancer BiologyCancer EtiologyCarcinoma in SituCellsCellular MorphologyCellular biologyCessation of lifeChemicalsClinical TreatmentCommunitiesComputer Vision SystemsCore FacilityDataDevelopmentDiseaseDistantEducational workshopEmbryoEnvironmentEnvironmental Risk FactorEventEwings sarcomaExtracellular MatrixExtravasationGoalsHeterogeneityHumanImageImaging DeviceImmunofluorescence ImmunologicIn SituIndividualInformaticsInstitutionIntelligenceIntrinsic factorInvadedInvestigationLabelLightMalignant - descriptorMalignant Bone NeoplasmMalignant NeoplasmsMembraneMembrane ProteinsMetabolicMetabolismMethodsMicroscopeMicroscopyMolecularMolecular AnalysisMolecular ProbesMorphologyMusNCI Center for Cancer ResearchNeoplasm MetastasisOncogenicOpticsOrganOrganismPatternPeriodicityPhysiologicalPilot ProjectsPlayPrimary NeoplasmProcessProliferatingPropertyResearchResearch PersonnelResolutionRoleSamplingSeriesSideSignal TransductionSiteSolid NeoplasmSpecimenSpeedSubgroupSystemTechnologyTestingThickTissue imagingTissuesTrainingTropismVariantWNT Signaling PathwayWorkXenograft procedureZebrafishcancer cellcaveolin 1cell behaviorchildhood sarcomacloud baseddimensional analysisexperimental studyfluorescence imagingfunctional adaptationhigh dimensionalityhigh resolution imaginghigh throughput screeningimaging approachimaging platformimaging probeimaging programintravital imaginglipid metabolismlive cell imaginglymphatic vesselmelanomamolecular imagingmultimodalitymultiplexed imagingnanonoveloutreachprogramsquantitative imagingresponsetechnology developmenttumor xenograft

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Project Summary In response to the RFA for a Cellular Cancer Biology Imaging Program we propose a program focused on imaging and molecularly probing the cell biological events that drive the formation of new metastatic tumors. Specifically, we will address two questions: 1) How does the intersection of shifts in cell-intrinsic and cell- extrinsic signals associated with shifts in expression of the membrane adaptor protein Caveolin-1 affect the metastatic propensity of pediatric sarcoma (Research Testbed Unit 1)? 2) What are the effects of cell-intrinsic and cell-extrinsic variation in lipid metabolism on melanoma metastasis patterns (Research Testbed Unit 2)? Answers to both questions depend on technology to capture the molecular, metabolic, and morphological states of individual metastatic cells as they colonize the distant site: In the Technology Development Unit-1 we will develop a multi-modal, multi-scale live imaging platform to investigate the effects of intersecting microenvironmental variation across an organism and cell intrinsic heterogeneity on metastatic spreading. The platform will leverage the exquisite optical and physiological properties of the zebrafish embryos to ‘watch’ at once how cells form human tumor xenografts spread to multiple distant sites where they form metastatic tumors. The microscope will allow seamless switching between a high-throughput screening mode observing the metastatic patterns in tens to hundreds of embryos in one experiment and a high-resolution imaging mode with fully isotropic resolution of 300 nm in XYZ that allows detailed analysis of the molecular, metabolic, morphologic, and proliferation/survival states of individual cells within an emerging metastatic niche. In the Technology Development Unit-2 we will develop a multi-scale imaging platform to investigate by hyper-spectral analysis the molecular, metabolic, morphological, and functional states of metastatic cells across entire mouse organs. The platform will leverage advances in tissue clearing, fully automated high-speed and high-resolution light-sheet fluorescence imaging, and computer vision, to integrate a mesoscopic imaging mode for fast acquisition of volumes of up to 20 x 20 x 20 mm at a ~5-10 micron isotropic resolution with a nanoscopic imaging mode providing 300 nm XYZ-resolution throughout a 300 micron field of view anywhere in the organ. Biological features can thus be rapidly identified and immediately interrogated with high subcellular resolution. We will then develop physically and chemically accelerated 60-plex cyclic immunofluorescence assays to comprehensively characterize the molecular, metabolic and architectural states of colonizing cells and their surroundings in the metastatic niche in thick (~200 microns) tissue sections. To accurately describe metastatic heterogeneity, the entire system, including sample handling, labeling, and imaging, will be fully automated and operated in a high-throughput fashion. Our goal with this system is to enable comprehensive profiling of heterogeneous cell metastatic cell behavior in 100’s of intact tissue specimens. Together, these platforms will generate versatile imaging tools for a new era of in situ cancer cell biology.
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UTSW-UNC Center for Cell Signaling Analysis
  • 批准号:
    10412148
  • 项目类别:
  • 资助金额:
    $160.71万
  • 财政年份:
    2022
  • 负责人:
    Gaudenz Danuser
  • 依托单位:
UTSW-UNC Center for Cell Signaling Analysis
  • 批准号:
    10705616
  • 项目类别:
  • 资助金额:
    $107.41万
  • 财政年份:
    2022
  • 负责人:
    Gaudenz Danuser
  • 依托单位:
Administration and Coordination Core
  • 批准号:
    10374649
  • 项目类别:
  • 资助金额:
    $33.77万
  • 财政年份:
    2021
  • 负责人:
    Gaudenz Danuser
  • 依托单位:
Integrated visualization, control, and analysis of GEF – GTPase networks in living cells
  • 批准号:
    10221568
  • 项目类别:
  • 资助金额:
    $54.12万
  • 财政年份:
    2021
  • 负责人:
    Gaudenz Danuser
  • 依托单位:
海外基金