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通过基因表达谱分析和模式枚举算法鉴定假定的植物冷响应调控元件。

Identification of putative plant cold responsive regulatory elements by gene expression profiling and a pattern enumeration algorithm.

作者信息

Kreps Joel, Budworth Paul, Goff Steve, Wang Ronglin

机构信息

Torrey Mesa Research Institute, 3115 Merryfield Row, San Diego, CA 92121, USA.

出版信息

Plant Biotechnol J. 2003 Sep;1(5):345-52. doi: 10.1046/j.1467-7652.2003.00032.x.

Abstract

A pattern enumeration algorithm named GBSSR has been developed to analyse co-expressed gene groups identified through gene chip expression profiling to search for putative cis-regulatory elements, an important step toward understanding transcriptional factors, quantitative trait loci and gene regulatory networks. Without making any statistical assumptions, this algorithm establishes the frequency distribution of all eligible 6-15 bp strings by extensive bootstrap sampling from an entire genome worth of promoters, enabling those over-represented in a co-expressed gene group to be identified. Using a well-studied plant cold responsive gene system as a positive control, several known cold responsive elements were identified as top ranking candidates, along with some potentially novel ones. A typical analysis of 40 co-expressed genes takes a relatively inexpensive Linux cluster with 32 x 1.4 GHz Intel CPUs about 7 days to process.

摘要

一种名为GBSSR的模式枚举算法已被开发出来,用于分析通过基因芯片表达谱鉴定出的共表达基因组,以寻找假定的顺式调控元件,这是迈向理解转录因子、数量性状基因座和基因调控网络的重要一步。该算法无需进行任何统计假设,通过对整个基因组的启动子进行广泛的自助抽样,建立了所有符合条件的6至15个碱基对序列的频率分布,从而能够识别在共表达基因组中过度表达的序列。以一个经过充分研究的植物冷响应基因系统作为阳性对照,鉴定出了几个已知的冷响应元件作为排名靠前的候选元件,以及一些潜在的新元件。对40个共表达基因进行典型分析,使用一个配备32个1.4 GHz英特尔CPU的相对廉价的Linux集群大约需要7天时间来处理。

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