Chen Xin, Jorgenson Eric, Cheung Siu Tim
Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States.
Drug Discov Today. 2009 Aug;14(15-16):754-60. doi: 10.1016/j.drudis.2009.05.005. Epub 2009 May 27.
For the past decade, the development of genomic technology has revolutionized modern biological research and drug discovery. Functional genomic analyses enable biologists to perform analysis of genetic events on a global scale and they have been widely used in gene discovery, biomarker determination, disease classification, and drug target identification. In this article, we provide an overview of the current and emerging tools involved in genomic studies, including expression arrays, microRNA arrays, array CGH, ChIP-on-chip, methylation arrays, mutation analysis, genome-wide association studies, proteomic analysis, integrated functional genomic analysis and related bioinformatic and biostatistical analyses. Using human liver cancer as an example, we provide further information of how these genomic approaches can be applied in cancer research.
在过去十年中，基因组技术的发展彻底改变了现代生物学研究和药物发现。功能基因组分析使生物学家能够在全球范围内对遗传事件进行分析，并且它们已广泛应用于基因发现、生物标志物测定、疾病分类和药物靶点识别。在本文中，我们概述了基因组研究中涉及的当前和新兴工具，包括表达阵列、微小RNA阵列、阵列比较基因组杂交、芯片染色质免疫沉淀、甲基化阵列、突变分析、全基因组关联研究、蛋白质组分析、综合功能基因组分析以及相关的生物信息学和生物统计学分析。以人类肝癌为例，我们进一步介绍了这些基因组方法如何应用于癌症研究。
