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DNA微阵列:实验问题、数据分析及其在细菌系统中的应用

DNA microarrays: experimental issues, data analysis, and application to bacterial systems.

作者信息

Dharmadi Yandi, Gonzalez Ramon

机构信息

Department of Chemical Engineering and Food Science & Human Nutrition, Iowa State University, 1035 Sweeney Hall, Ames, Iowa 50011, USA.

出版信息

Biotechnol Prog. 2004 Sep-Oct;20(5):1309-24. doi: 10.1021/bp0400240.

Abstract

DNA microarrays are currently used to study the transcriptional response of many organisms to genetic and environmental perturbations. Although there is much room for improvement of this technology, its potential has been clearly demonstrated in the past 5 years. The general consensus is that the bottleneck is now located in the processing and analysis of transcriptome data and its use for purposes other than the quantification of changes in gene expression levels. In this article we discuss technological aspects of DNA microarrays, statistical and biological issues pertinent to the design of microarray experiments, and statistical tools for microarray data analysis. A review on applications of DNA microarrays in the study of bacterial systems is presented. Special attention is given to studies in the following areas: (1) bacterial response to environmental changes; (2) gene identification, genome organization, and transcriptional regulation; and (3) genetic and metabolic engineering. Soon, the use of DNA microarray technologies in conjunction with other genome/system-wide analyses (e.g., proteomics, metabolomics, fluxomics, phenomics, etc.) will provide a better assessment of genotype-phenotype relationships in bacteria, which serve as a basis for understanding similar processes in more complex organisms.

摘要

目前,DNA微阵列用于研究许多生物体对遗传和环境扰动的转录反应。尽管这项技术还有很大的改进空间,但在过去5年里其潜力已得到明确证明。普遍的共识是,现在的瓶颈在于转录组数据的处理和分析,以及将其用于基因表达水平变化定量以外的目的。在本文中,我们讨论了DNA微阵列的技术方面、与微阵列实验设计相关的统计和生物学问题,以及用于微阵列数据分析的统计工具。本文还综述了DNA微阵列在细菌系统研究中的应用。特别关注以下领域的研究:(1)细菌对环境变化的反应;(2)基因鉴定、基因组组织和转录调控;(3)遗传和代谢工程。不久之后,将DNA微阵列技术与其他全基因组/全系统分析(如蛋白质组学、代谢组学、通量组学、表型组学等)结合使用,将能更好地评估细菌中的基因型-表型关系,这将为理解更复杂生物体中的类似过程奠定基础。

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