Data acquisition system for noninvasive cancer detection

描述（由申请人提供）： 本项目的总体目标是开发一种基于高灵敏度低体积真实的时间PCR技术和毛细管电泳的自动化数据采集系统，用于非侵入性定量癌症检测、筛查和监测，应用该系统定量分析单个癌细胞中的端粒酶活性和基因表达，并使用前列腺癌患者的排泄尿中的脱落癌细胞在临床样本上验证该系统。 该项目的第一阶段旨在构建检测系统的台式原型，并确定用于定量测量端粒酶活性和hTERTmRNA表达的拟议仪器的灵敏度极限，并与SUNY核心设施提供的最佳商业实时PCR仪器之一OpticonTM（MJ Research）和/或ABI PRISM TM 7700（PE Applied Biosystems）的灵敏度进行比较。 在第二阶段，我们将开发数据采集系统的自动化试点原型，使用前列腺癌患者排尿标本中的脱落癌细胞来验证仪器，并开发用于临床样品制备和分析的最佳方案。

DESCRIPTION (provided by applicant): The overall goal of the proposal is to develop an automated data acquisition system for non-invasive quantitative cancer detection, screening, and monitoring, based on highly sensitive low volume real time PCR technique and capillary electrophoresis, apply this system for quantitative analysis of the telomerase activity and gene expression in single cancer cells, and to validate this system on clinical specimens using exfoliated cancer cells in voided urine of prostate cancer patients. Phase I of the project aims at building the bench-top prototype of the detection system and determination of the limits of sensitivity of the proposed instrument for quantitative measurement of telomerase activity and hTERT mRNA expression in comparison with the sensitivity of one of the best commercial real-time PCR instruments, OpticonTM, MJ Research, available at SUNY core facility, and/or ABI PRISM TM7700, PE Applied Biosystems. In Phase II we will develop an automated pilot prototype of the data acquisition system, validate the instrument using exfoliated cancer cells in voided urine specimens of prostate cancer patients, and develop optimal protocols for clinical sample preparation and analysis.