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微阵列数据的使用与分析。

The use and analysis of microarray data.

作者信息

Butte Atul

机构信息

Children's Hospital Informatics Program and Division of Endocrinology, Children's Hospital, 300 Longwood Avenue, Boston, Massachusetts 02115, USA.

出版信息

Nat Rev Drug Discov. 2002 Dec;1(12):951-60. doi: 10.1038/nrd961.

Abstract

Functional genomics is the study of gene function through the parallel expression measurements of genomes, most commonly using the technologies of microarrays and serial analysis of gene expression. Microarray usage in drug discovery is expanding, and its applications include basic research and target discovery, biomarker determination, pharmacology, toxicogenomics, target selectivity, development of prognostic tests and disease-subclass determination. This article reviews the different ways to analyse large sets of microarray data, including the questions that can be asked and the challenges in interpreting the measurements.

摘要

功能基因组学是通过对基因组进行平行表达测量来研究基因功能,最常用的技术是微阵列和基因表达序列分析。微阵列在药物发现中的应用正在不断扩展,其应用包括基础研究和靶点发现、生物标志物测定、药理学、毒理基因组学、靶点选择性、预后测试的开发以及疾病亚类的确定。本文综述了分析大量微阵列数据的不同方法,包括可以提出的问题以及解释测量结果时面临的挑战。

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