Vertical Coverage Arrays in analyzing transcription

转录分析中的垂直覆盖阵列

• 批准号: 6688270
• 负责人: JOHN T WELSH
• 金额: $ 33.73万
• 依托单位: SIDNEY KIMMEL CANCER CENTER
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-02-15 至 2005-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6688270
• 关键词: gene expression; genetic transcription; messenger RNA; method development; microarray technology; neoplasm /cancer genetics; polymerase chain reaction; tissue /cell culture; transcription factor

DESCRIPTION (provided by applicant): Microarray analysis provides a means by which the abundances of many thousands of transcripts can be followed simultaneously as genes respond to experimental or physiological cues. When experiments are more focused on a smaller number of genes that have been selected either by preliminary microarray analysis or by other means, standard microarrays become a cumbersome tool for further characterization. In the R21 phase, a novel microarray method is developed that would allow individual genes to be analyzed over many thousands of experimental conditions. The method is based on the development of low complexity representations of the mRNA of the cell. These low complexity representations are then spotted on a glass slide to produce a 'vertical' microarray, which can be probed with single fluorescently labeled probes. The low complexity representations are employed to increase signal. Multiple low complexity representations are used in order to include most of the complexity of the original mRNA population. Thousands of experimental variables can be explored on a single array, one gene at a time, or a few genes at a time using multi-color fluorescence. In the R33 phase, the vertical array method will be used to characterize the detailed responses of genes known to be controlled by a particular transcription factor to a collection of drugs and hormones. This data will be used to construct a class predictor that predicts whether or not a particular transcription factor is likely to be involved in the regulation of a gene.

描述(由申请人提供)： 微阵列分析提供了一种手段，通过这种手段，数千种生物的丰度 的转录本可以被同时跟踪，因为基因对实验的反应 或者生理暗示。当实验更多地集中在较小的数字时 通过初步的微阵列分析或 通过其他方式，标准微阵列成为进一步 人物刻画。在R21阶段，发展了一种新的微阵列方法 这将允许对数以千计的单个基因进行分析 实验条件。该方法是基于LOW的开发 细胞信使核糖核酸的复杂性表示。这些低复杂性 然后，在一张玻璃幻灯片上发现表示法，以产生一种“垂直” 微阵列，可以用单个荧光标记的探针进行探测。这个 采用低复杂度的表示法来增加信号。多重低点 使用复杂性表示法是为了包含大部分复杂性 原始信使核糖核酸的数量。成千上万的实验变量可以 在单个阵列上探索，一次一个基因，或一次几个基因 多色荧光。在R33阶段，垂直阵列法将是 用来描述已知受控于 一种特定的转录因子与药物和荷尔蒙的集合。这 数据将用于构造一个类预测器，该类预测器预测 一种特定的转录因子可能参与了这种调节。 一种基因。