NIRT: Nanofluidic Networks for Single-Molecule Protein Analysis

NIRT：用于单分子蛋白质分析的纳流体网络

• 批准号: 0304318
• 负责人: Don DeVoe
• 金额: $ 75万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0304318&HistoricalAwards=false
• 关键词: NIRT; Nanofluidic; Networks; Single; Molecule

Project Abstract The proposed research aims to develop novel approaches for realizing polymer-based nanofluidic networks, and apply these nanofabrication techniques to ultra-sensitive bioanalytical instrumentation for single-molecule protein separations. Complex biological samples such as tissues, tumors, serum, or cells can contain thousands of proteins ranging from highly abundant proteins which perform common housekeeping tasks, to extremely low abundance proteins which may be present in quantities as small as a single molecule per cell. This NIRT project addresses the need for high-resolution, high-sensitivity separation techniques which can sort ultra-low molarities, down to the individual protein or peptide level, for identification. successful completion of the project will result in new ultra-high-sensitivity screening strategies for applications ranging from fundamental biological studies to disease research and drug discovery. The proposed technology platform, coupling nanochannel-based single molecule detection with integrated sample manipulation, opens the potential for extraordinary reductions in sample consumption for broad-scale protein analysis where the quantity of protein is extremely limited, impacting industry-critical areas such as genomics, proteomics, and drug discovery.

项目摘要拟议的研究旨在开发新的方法，以实现基于聚合物的纳米荧光网络，并将这些纳米制造技术应用于超敏感的生物分析仪器，以进行单分子蛋白分离。复杂的生物样品（例如组织，肿瘤，血清或细胞）可以包含数千种蛋白质，范围从执行常见的管家任务的高度丰富的蛋白质到极低的丰度蛋白质，这些蛋白质的数量可能很小，每个细胞都与单个细胞一样小。这个NIRT项目满足了对高分辨率，高敏分离技术的需求，这些技术可以将超低摩尔性分类为单个蛋白质或肽水平，以识别。该项目的成功完成将为从基本生物学研究到疾病研究和药物发现的应用提供新的超高敏感性筛选策略。提出的技术平台将基于纳米渠道的单分子检测与集成样品操作耦合，为大规模蛋白质分析的样品消耗量的非凡减少开放，其中蛋白质的数量极为有限，影响了工业批评区域，例如基因组学，蛋白质组学和药物发现。