Gray J W, Collins C
UCSF Cancer Center, 2340 Sutter Street, University of California San Francisco, San Francisco, CA 94143-0808, USA.
Carcinogenesis. 2000 Mar;21(3):443-52. doi: 10.1093/carcin/21.3.443.
Genome-wide analysis techniques such as chromosome painting, comparative genomic hybridization, representational difference analysis, restriction landmark genome scanning and high-throughput analysis of LOH are now accelerating high-resolution genome aberration localization in human tumors. These techniques are complemented by procedures for detection of differentially expressed genes such as differential display, nucleic acid subtraction, serial analysis of gene expression and expression microarray analysis. These efforts are enabled by work from the human genome program in physical map development, cDNA library production/sequencing and in genome sequencing. This review covers several commonly used large-scale genome and gene expression analysis techniques, outlines genomic approaches to gene discovery and summarizes information that has come from large-scale analyses of human solid tumors.
全基因组分析技术,如染色体描绘、比较基因组杂交、代表性差异分析、限制性酶切位点基因组扫描以及杂合性缺失的高通量分析,目前正在加速人类肿瘤中高分辨率基因组畸变的定位。这些技术通过诸如差异显示、核酸扣除、基因表达序列分析和表达微阵列分析等差异表达基因检测程序得到补充。人类基因组计划在物理图谱构建、cDNA文库制备/测序以及基因组测序方面的工作推动了这些研究。本综述涵盖了几种常用的大规模基因组和基因表达分析技术,概述了基因发现的基因组方法,并总结了来自人类实体瘤大规模分析的信息。