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酵母基因表达的全局分析。

Global analysis of gene expression in yeast.

作者信息

Horak Christine E, Snyder Michael

机构信息

Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520, USA.

出版信息

Funct Integr Genomics. 2002 Sep;2(4-5):171-80. doi: 10.1007/s10142-002-0065-3. Epub 2002 Jul 10.

Abstract

In the past decade, there has been an intense effort to comprehensively catalogue the expressed genes in the yeast Saccharomyces cerevisiae and to determine the absolute and relative abundance of transcript and protein levels under different cellular conditions. Several methods have been developed to monitor gene expression: DNA microarray analysis, Serial Analysis of Gene Expression (SAGE), kinetic RT-PCR and monitoring expression of beta-galactosidase fusion proteins. These techniques have been used to measure transcript and protein abundance in different developmental states and under different environmental stimuli. A wealth of expression data for yeast is now publicly available through several web sites. The expression information that exists has the obvious benefits of providing a better understanding of the gene expression patterns that accompany changes in a yeast cell's environmental and developmental states. This data has also, however, provided clues to unraveling the complicated questions surrounding gene regulation: why and how is gene expression controlled?

摘要

在过去十年中,人们付出了巨大努力来全面编目酿酒酵母中表达的基因,并确定在不同细胞条件下转录本和蛋白质水平的绝对丰度和相对丰度。已经开发了几种方法来监测基因表达:DNA微阵列分析、基因表达序列分析(SAGE)、动力学逆转录聚合酶链反应(RT-PCR)以及监测β-半乳糖苷酶融合蛋白的表达。这些技术已被用于测量不同发育状态和不同环境刺激下的转录本和蛋白质丰度。现在通过几个网站可以公开获得大量酵母的表达数据。现有的表达信息具有明显的优势,即能更好地理解伴随酵母细胞环境和发育状态变化的基因表达模式。然而,这些数据也为解开围绕基因调控的复杂问题提供了线索:基因表达为何以及如何受到控制?

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