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微阵列分析:成功实验的基本策略。

Microarray analysis: basic strategies for successful experiments.

作者信息

Ness Scott A

机构信息

Department of Molecular Genetics & Microbiology, Keck-UNM Genomics Resource and UNM Cancer Research and Treatment Center, University of New Mexico HSC, Albuquerque, NM 87131-0001, USA.

出版信息

Mol Biotechnol. 2007 Jul;36(3):205-19. doi: 10.1007/s12033-007-0012-6.

Abstract

Microarrays offer a powerful approach to the analysis of gene expression that can be used for a wide variety of experimental purposes. However, there are several types of microarray platforms that are available. In addition, microarray experiments are expensive and generate complicated data sets that can be difficult to interpret. Success with microarray approaches requires a sound experimental design and a coordinated and appropriate use of statistical tools. Here, the advantages and pitfalls of utilizing microarrays are discussed, as are practical strategies to help novice users succeed with this method that can empower them with the ability to assay changes in gene expression at the whole genome level.

摘要

微阵列提供了一种强大的基因表达分析方法,可用于多种实验目的。然而,有几种类型的微阵列平台可供使用。此外,微阵列实验成本高昂,会生成复杂的数据集,难以解释。微阵列方法的成功需要合理的实验设计以及对统计工具的协调和恰当使用。本文讨论了使用微阵列的优点和陷阱,以及帮助新手用户成功使用此方法的实用策略,这些策略能使他们有能力在全基因组水平检测基因表达的变化。

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