Vertical Coverage Arrays in analyzing transcription

描述（由申请人提供）： 微阵列分析提供了一种方法，通过这种方法， 的转录本可以同时作为基因响应实验 或生理暗示。当实验更多地集中在一个较小的数字上时 通过初步的微阵列分析或 通过其他手段，标准微阵列变成了一种笨重的工具， 特征化在R21阶段，开发了一种新的微阵列方法 这将允许个体基因被分析超过数千个 实验条件 该方法是基于开发低 细胞mRNA的复杂表达。这些低复杂性 然后将代表物点在载玻片上， 微阵列，其可以用单个荧光标记的探针探测。的 采用低复杂度表示来增加信号。多个低 使用复杂度表示是为了包括大部分复杂度 原始的mRNA群体。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，或者一次使用几个基因， 多色荧光。 在R33阶段，将采用垂直阵列法 用于表征已知由以下因素控制的基因的详细反应： 一种特定的转录因子与一系列药物和激素相关联。这 数据将被用来构建一个类预测器，预测是否 一种特殊的转录因子可能参与调控 一个基因。

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.