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）：人们越来越需要一种高效、简单、易于使用的定量方法来分析多重标记物。我们假设，在基于异质阵列的平台中，分析物通量到不同地址的差异可以作为一种有效的手段，同时确定许多分析物的绝对浓度，而只需要向样品中添加一种校准剂。这项建议详细说明了减少技术实践的方法，这将提供一种简单和具有成本效益的方法