Highly Multiplexed Digital Assays

高度多重数字化分析

• 批准号: 8212069
• 负责人: Igor A. Kozlov
• 金额: $ 26.36万
• 依托单位: PROGNOSYS BIOSCIENCES, INC.
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-15 至 2012-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8212069
• 关键词: Affinity; Antibodies; Area; Basic Science; Binding; Biological; Biological Assay; Biological Markers; Biological Models; Blinded; Clinic; Clinical; Collection; DNA; Detection; Development; Diagnosis; Diagnostic; Dideoxy Chain Termination DNA Sequencing; Disease; Enzyme-Linked Immunosorbent Assay; Event; Goals; High Pressure Liquid Chromatography; Hour; Immunoassay; Individual; Laboratories; Methods; Modeling; Molecular; Monitor; Oligonucleotides; Pattern; Performance; Phase; Preparation; Price; Proteins; Proteomics; Protocols documentation; Reagent; Sampling; Serum; Signal Transduction; Solid; Solutions; Specificity; System; Techniques; Technology; Testing; Time; Validation; base; clinical decision-making; design; digital; disorder prevention; improved; innovation; member; new technology; next generation; novel; prognostic; public health relevance; response; single molecule; tool

DESCRIPTION (provided by applicant): There is a need for new technologies to enable multiplexed analysis of collections of biomarkers in biological samples. We propose to develop a novel assay format for detecting and analyzing many biomarkers simultaneously. In order to do this we will develop reagents and methods and validate the approach using a model system. If successful, our long-term goal is to increase the level of multiplexing to enable analysis on a scale that is not feasible with current methods. PUBLIC HEALTH RELEVANCE: The technology we are developing is designed for detecting and analyzing large sets of biomarkers. This will be useful for detecting patterns of expression that provide information on normal and disease states. It has application in basic research and may also be useful in the diagnosis, treatment, and prevention of disease.

描述(由申请人提供)：需要新技术来实现对生物样本中的生物标记物集合的多路分析。我们建议开发一种新的检测模式，用于同时检测和分析多个生物标志物。为了做到这一点，我们将开发试剂和方法，并使用模型系统验证该方法。如果成功，我们的长期目标是提高多路复用的水平，以便能够在目前方法不可行的规模上进行分析。 公共卫生相关性：我们正在开发的技术是为检测和分析大量生物标志物而设计的。这将有助于检测提供有关正常和疾病状态的信息的表达模式。它在基础研究中有应用，在疾病的诊断、治疗和预防中也可能有用。