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应用于绘制转录调控网络的功能基因组学。

Functional genomics as applied to mapping transcription regulatory networks.

作者信息

Banerjee Nila, Zhang Michael Q

机构信息

Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA.

出版信息

Curr Opin Microbiol. 2002 Jun;5(3):313-7. doi: 10.1016/s1369-5274(02)00322-3.

Abstract

The sequencing of the human genome and the entire genomes of many model organisms has resulted in the identification of many genes. Many large-scale experiments for generating gene disruptions and analyzing the phenotypes are underway to ascertain gene function. A future challenge will be to determine interaction and regulation of all the genes of an organism. Recent advances in functional genomic technology have begun to shine light on such gene network problems at both transcriptomic and proteomic levels. Functional genomics will not only elucidate what the genes do, but will also help determine when, where and how they are expressed as an orchestrated system. In this review, we discuss the functional genomics approaches to extract knowledge about transcription regulatory mechanisms from combinations of sequence data, microarray data and ChIP data. We focus in particular on the budding yeast Saccharomyces cerevisiae.

摘要

人类基因组以及许多模式生物的全基因组测序已鉴定出许多基因。目前正在进行许多大规模实验以产生基因破坏并分析表型,从而确定基因功能。未来的一项挑战将是确定生物体所有基因的相互作用和调控。功能基因组技术的最新进展已开始在转录组学和蛋白质组学水平上揭示此类基因网络问题。功能基因组学不仅将阐明基因的作用,还将有助于确定它们何时、何地以及如何作为一个协调系统表达。在本综述中,我们讨论了从序列数据、微阵列数据和ChIP数据的组合中提取有关转录调控机制知识的功能基因组学方法。我们特别关注出芽酵母酿酒酵母。

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