Single Cell Micro-chamber Array analysis
单细胞微室阵列分析
基本信息
- 批准号:7803370
- 负责人:
- 金额:$ 9.98万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-02-08 至 2011-02-07
- 项目状态:已结题
- 来源:
- 关键词:AffectBiochemical PathwayBiologyCaliforniaCell physiologyCell surfaceCellsChemicalsCollaborationsComplexCoupledCytosolDataDetectionDevelopmentDevice DesignsDevicesDiseaseEngineeringEnzymesEquipmentErythrocytesFluorescenceFutureGlutathioneGoalsHemolysisImage AnalysisIndividualJointsLabelLaboratoriesLifeMeasurementMeasuresMechanicsMembraneMethodsMicroscopicMonitorOpticsPathologyPediatric HospitalsPhasePlayPopulationPopulation AnalysisProcessProtocols documentationReactionReportingResearch InstituteRoleSmall Business Innovation Research GrantStagingSurfaceSuspension substanceSuspensionsTechnologyTestingUniversitiesbasecommercializationdesignimprovedinstrumentmicrochipsickling
项目摘要
DESCRIPTION (provided by applicant): Abnormalities in the cytosol of subpopulations of cells are often a hallmark of pathology. Most analysis methods will only provide information on the cytosol of cell populations as a whole, not for individual cells or subpopulations of cells. To overcome this, we propose to develop Single Cell Micro-chamber Array (SiCMA) technology. This approach is based on preliminary studies in the laboratory of Dr. Kuypers at CHORI to use microchamber arrays to report on the stochastic distribution of cytosolic components. In this Phase I SBIR we aim to prove the principle of this approach and set the stage for further development in a joint effort between E&M devices and CHORI. The successful completion of the proposed studies will establish our ability to measure cytosolic components correlated with cell surface markers in a complex cell population, and provide the basis for commercialization of this technology.
描述(由申请人提供):细胞亚群的细胞质异常通常是病理的标志。大多数分析方法只能提供细胞群的细胞质整体信息,而不能提供单个细胞或细胞亚群的信息。为此,我们提出了单细胞微室阵列(SiCMA)技术。该方法基于CHORI的Kuypers博士实验室的初步研究,使用微室阵列报告细胞质成分的随机分布。在第一阶段的SBIR中,我们的目标是证明这种方法的原理,并在机电设备和CHORI之间的共同努力下为进一步发展奠定基础。该研究的成功完成将建立我们在复杂细胞群中测量与细胞表面标记相关的细胞质成分的能力,并为该技术的商业化提供基础。
项目成果
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Timothy Brackbill其他文献
Timothy Brackbill的其他文献
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