MULTI PARAMETER ANALYSIS OF MRNA LEVELS IN LUNG TISSUE

肺组织 mRNA 水平的多参数分析

• 批准号: 6494928
• 负责人: MICHAEL E. HOGAN
• 金额: $ 28.02万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-03-01 至 2002-01-10
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6494928
• 关键词: biotechnology; lung neoplasms; messenger RNA; neoplasm /cancer diagnosis; nucleic acid hybridization

This Program Project will develop a novel set of integrated nucleic acid hybridization technologies: oligonucleotide, surface and dye chemistry, fluidic methods for high speed microarry fabrication, a new microarry format for hybridization analysis and, finally, a novel high speed CCD based detection platform. The work is an extension of technology development which was funded by the Department of Commerce ATP program and which has already generated numerous publications and patents in the "biochip" area. The goal here is to greatly extend this biochip technology base for genetic analysis of lung tumors in a clinical context. The work is driven by two biological principles. The first is that, to be useful in the clinic, the hybridization technology must be very fast and sensitive, but relatively inexpensive, and simple enough to ensure rigorous QC and easy integration into available high throughput sample handling robotics. The second principle which drives the work is that the order to truly revolutionize cancer diagnosis, the technology must be capable of obtaining several different types of genetic information per day, on the same sample, in parallel fashion. In accord with those principles, we propose a technology platform which can process several hundred samples per day per workstation, and will generate heterogeneous data sets on each tumor of the following scale: point mutation (up to 3 genes), LOH (up to 10 loci), quantitation of gene expression at the MRNA level (as many as 100 genes per sample). To achieve those integrated technology goals, we have assembled a team with a record of innovation in nucleic acid and surface chemistry (Project 1), supercomputer modeling of nucleic acid and surface interactions (Project 2), innovative optical detector and microfluidics engineering (Project 3), workstation integration (Core A), cancer molecular biology, tumor pathology and tissue archive administration (Core B) and multidisciplinary research coordination (Core C).

本计划项目将开发一套新的整合核酸 杂交技术：寡核苷酸，表面和染料化学， 一种新的高速微阵列制备方法 格式的杂交分析，最后，一种新的高速CCD 基于检测平台。 这项工作是技术的延伸 该开发由商务部ATP计划资助 并且已经产生了许多出版物和专利， “生物芯片”区。 我们的目标是将这种生物芯片 临床肺肿瘤基因分析技术基础 上下文 这项工作是由两个生物学原理驱动的。 第一 为了在临床上有用，杂交技术必须 非常快速和敏感，但相对便宜，简单 足以确保严格的质量控制，并轻松集成到可用的高 样品处理机器人。 第二个原则是 这项工作是为了真正彻底改变癌症诊断， 技术必须能够获得几种不同类型的 遗传信息，在同一个样本上，以平行的方式。 在雅阁的指导下，我们提出了一个技术平台， 每个工作站每天可以处理数百个样本， 生成以下规模的每个肿瘤的异质数据集： 点突变（最多3个基因）、洛缺失（最多10个基因座）、 mRNA水平的基因表达（每个样品多达100个基因）。 为了实现这些集成技术目标，我们组建了一个团队， 在核酸和表面化学方面的创新记录 （项目1），核酸和表面的超级计算机建模 相互作用（项目2），创新的光学检测器和微流体 工程（项目3）、工作站集成（核心A）、癌症 分子生物学、肿瘤病理学和组织档案管理 (Core B）和多学科研究协调（核心C）。