Xiang Zhaoying, Yang Yaning, Ma Xiaojing, Ding Wei
Weill Medical College of Cornell University, Department of Microbiology & Immunology, 1300 York Avenue, New York, NY 10021, USA.
Curr Opin Drug Discov Devel. 2003 May;6(3):384-95.
Recent advances in the technology of massive parallel gene expression profiling using microarrays are revolutionizing biomedical research and pharmacological discovery. These new and powerful tools allow researchers to examine the dynamics of a whole biological system by simultaneously interrogating the expression of tens of thousands of genes. This article will review the various bioinformatics and statistical methods commonly used to analyze the enormous amounts of data generated by this technology. The objective of these analyses is to reliably extract important biological information from carefully designed and controlled microarray experiments, and to organize the information in ways that reveal structured and coordinated physiological processes and key components controlling the biological responses studied. The major applications of the microarray technology, recently used to address a variety of biological questions of interest to scientists and clinicians in academia, healthcare and the pharmaceutical industry, will also be presented.
使用微阵列进行大规模平行基因表达谱分析技术的最新进展正在彻底改变生物医学研究和药物发现。这些新的强大工具使研究人员能够通过同时检测数万个基因的表达来研究整个生物系统的动态变化。本文将综述常用于分析该技术产生的大量数据的各种生物信息学和统计方法。这些分析的目的是从精心设计和控制的微阵列实验中可靠地提取重要的生物学信息,并以揭示结构化和协调的生理过程以及控制所研究生物反应的关键成分的方式来组织这些信息。还将介绍微阵列技术最近在学术界、医疗保健和制药行业中用于解决科学家和临床医生感兴趣的各种生物学问题的主要应用。