Spatial genomics analysis of tumor samples
Spatial genomics analysis of tumor samples
批准号:
10761582
负责人:
Kirsten Frieda
金额:
$99.85万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2025-08-31
关键词:
AccelerationAddressAdoptionAntibodiesBar CodesBiological MarkersBiopsy SpecimenCTLA4 geneCancer DiagnosticsCell CommunicationCellsClinicalComplementComplexComputer softwareDataDevelopmentDiagnosticDiagnostics ResearchDisease ProgressionEpidermal Growth Factor ReceptorFibroblastsFluorescent in Situ HybridizationGene OrderGenesGenomicsGeographic DistributionGeographyGlioblastomaHypoxiaImageImmuneImmune TargetingImmunofluorescence ImmunologicIn SituMammary NeoplasmsMapsMarketingMedical ResearchMessenger RNAMethodsMolecularMolecular ProfilingNeighborhoodsNeuroblastomaNucleic AcidsOligonucleotidesPathologyPhasePopulationPopulation HeterogeneityPost-Translational Protein ProcessingProcessProcessed GenesProliferatingProteinsRNAReagentResearchResearch PersonnelResolutionSamplingScanningSignal PathwaySignal TransductionSliceSlideSpatial DistributionSystemTechnologyTestingTimeTissuesTranscriptTumor SubtypeTumor TissueValidationVisualizationantibody conjugatecancer biomarkerscancer imagingcell typeclinical diagnosticscommercializationcytokineexhaustionexperimental studyflexibilityhuman imagingin-vitro diagnosticsinstrumentinstrumentationmalignant breast neoplasmmolecular markermultiple omicsneoplastic cellprogrammed cell death protein 1ratiometricreceptorsingle moleculetooltumortumor growthtumor microenvironment
中文摘要
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英文摘要
SUMMARY
Imaging the tumor microenvironment (TME) is key to understanding tumor growth, disease
progression and therapy options. The TME often consists of a complex neighborhood of diverse
populations of immune cells, fibroblasts, and tumors cells. Little is known about the “geography”
of the tumors and the spatial organization of the distinct cell types. The ability to rapidly identify
different cell types and tumor subtypes using molecular markers will be transformative for cancer
diagnostics.
At Spatial Genomics, we are commercializing technology that allows transcript profiling in tumor
samples. With this technology, cell types in situ and spatial organizations can be directly identified
and visualized in tumor tissue slices. These capabilities provide a powerful tool for examining the
different cell types and their interactions in the tumor microenvironment. In this proposal, we will
develop the reagents, instrumentation, and the associated software that will allow researchers to
perform spatial mapping experiments in tumor slices.
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会议论文
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项目类别:
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依托单位:
海外基金