Raghavachari Nalini
Genetics and Developmental Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Methods Mol Biol. 2013;1027:47-84. doi: 10.1007/978-1-60327-369-5_3.
Microarray technology is a novel tool in molecular biology, capable of quantitating hundreds or thousands of gene transcripts from a given cell or tissue sample simultaneously. A microarray has thousands of DNA fragments or oligonucleotides of known sequence arrayed in a known sequence of rows and columns on a chip. Hybridization of sample RNA that has been reverse-transcribed and labeled enables the detection and quantitation of specific transcripts. The ability to quantitate systemic gene changes in normal vs. diseased states has led to significant progress in many biomedical disciplines, including lipoprotein and atherosclerosis research, and can be used for discovery of diagnostic/prognostic and predictive biomarkers and to test the effectiveness of potential therapeutic agents. The design and analysis of microarray experiments present some unique problems to clinical medicine due to inherent issues related to biological sample procurement and processing, sensitivity and specificity of the assay, reliability and reproducibility of data, and applicability of the technology in multicenter-based clinical studies. This chapter will provide details on the methodologies that address these problems for successful microarray-based transcriptome analysis of tissues, whole blood, cell subpopulations, and cultured cells.
微阵列技术是分子生物学中的一种新型工具,能够同时对给定细胞或组织样本中的数百或数千个基因转录本进行定量分析。微阵列在芯片上有成千上万已知序列的DNA片段或寡核苷酸,它们按已知的行列顺序排列。对已逆转录并标记的样本RNA进行杂交,能够检测和定量特定的转录本。在正常状态与疾病状态下对系统性基因变化进行定量分析的能力,已在包括脂蛋白和动脉粥样硬化研究在内的许多生物医学学科中取得了重大进展,并且可用于发现诊断/预后和预测性生物标志物,以及测试潜在治疗药物的有效性。由于与生物样本采集和处理、检测的灵敏度和特异性、数据的可靠性和可重复性以及该技术在多中心临床研究中的适用性等固有问题,微阵列实验的设计和分析给临床医学带来了一些独特的问题。本章将详细介绍解决这些问题的方法,以便成功地对组织、全血、细胞亚群和培养细胞进行基于微阵列的转录组分析。