Real-time Internal Calibration for Multiplexed Microarray Analysis

用于多重微阵列分析的实时内部校准

• 批准号: 8493750
• 负责人: Marc D Porter
• 金额: $ 22.37万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-04-01 至 2015-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8493750
• 关键词: Accounting; Address; Adsorption; Analytical Chemistry; Antigens; Biological Assay; Calibration; Clinical Chemistry; Computer Simulation; Consumption; Data; Detection; Development; Diagnostic; Diagnostic tests; Diffusion; Effectiveness; Equilibrium; Equipment; Genomics; Health; Healthcare; Hour; Human; Human Resources; Immunoassay; Laboratories; Medicine; Methodology; Methods; Metric; Microarray Analysis; Microfabrication; Modality; Modeling; Nanotechnology; Performance; Proteomics; Radial; Reagent; Research Infrastructure; Rotation; Sampling; Serum; Staging; Stratification; Techniques; Technology; Testing; Time; Validation; Viscosity; Work; base; biochip; combat; cost; cost effective; design; experience; innovation; insight; instrumentation; metabolic abnormality assessment; prognostic; public health relevance; research study; surfactant

DESCRIPTION (provided by applicant): There is a growing need for a highly efficient, simple, and easy to use quantitation method for multiplexed marker analyses. We hypothesize that differences in analyte flux to different addresses in a heterogeneous array-based platform can serve as an effective means to simultaneously determine the absolute concentration of a number of analytes with only the need to add a single calibrant to the sample. This proposal details a reduction to practice of technology that will afford a simple and cost-effective approach to determine the concentration of each marker - irrespective of the number of markers - without requiring the creation of calibration curves or the use of calibrants. The platform is extensible - meaning it could be deployed for genomic and metabolic studies as well as for platform proteomic assays - and could be applied to other readout methods.

描述(由申请人提供)：对用于多重标记分析的高效、简单和易于使用的定量方法的需求日益增长。我们假设，在基于多相阵列的平台中，流向不同地址的分析物流量的差异可以作为一种有效的手段来同时确定多个分析物的绝对浓度，而只需要向样品中添加单一的校准剂。这项建议详细说明了减少技术实践，以提供一种简单且成本效益高的方法 无需创建校准曲线或使用校准剂即可确定每个标记物的浓度，而与标记物的数量无关。该平台是可扩展的- 这意味着它可以用于基因组和新陈代谢研究以及平台蛋白质组分析--也可以应用于其他读数方法。