Akama Takeshi, Nakamura Kazuaki, Tanoue Akito, Suzuki Koichi
Leprosy Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Methods Mol Biol. 2013;1067:23-34. doi: 10.1007/978-1-62703-607-8_2.
Whole-genome sequencing and annotation have clarified total gene number and structure in a variety of organisms. Microarrays have facilitated transcriptome analysis through the use of probes that target a large number of genes based on genomic information. However, microarrays are limited in that they can only examine known or predicted genes; non-annotated genes and noncoding regions cannot be accounted for.Recent advances in technology have led to the design of tiling arrays, which contain a vastly increased number of spotted probes, and at higher density. Tiling arrays cover the entire genome of a prokaryotic species in an unbiased fashion by designing a large number of probes. Upon hybridization of total RNA, all the transcribed regions of the genome, irrespective of gene annotation, can be detected. As opposed to next-generation sequencing, tiling arrays are cost-effective, easy to analyze, and have been used for experiments as diverse as transcriptome analysis, ChIP-chip, and DNA sequence variation detection. In this chapter, the methods for bacterial tiling array slide design, RNA sample preparation, hybridization, and data analysis are described.
全基因组测序和注释已阐明了多种生物的基因总数和结构。微阵列通过使用基于基因组信息靶向大量基因的探针,促进了转录组分析。然而,微阵列存在局限性,即它们只能检测已知或预测的基因;无法对未注释基因和非编码区域进行分析。技术上的最新进展导致了平铺阵列的设计,其包含数量大幅增加且密度更高的点阵探针。通过设计大量探针,平铺阵列以无偏差的方式覆盖原核生物物种的整个基因组。在与总RNA杂交后,无论基因注释如何,基因组的所有转录区域均可被检测到。与新一代测序不同,平铺阵列具有成本效益、易于分析,并且已用于转录组分析、芯片免疫沉淀和DNA序列变异检测等多种实验。在本章中,将描述细菌平铺阵列载玻片设计、RNA样品制备、杂交和数据分析的方法。