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平铺阵列的设计及其在细菌转录组分析中的应用。

Design of tiling arrays and their application to bacterial transcriptome analysis.

作者信息

Akama Takeshi, Nakamura Kazuaki, Tanoue Akito, Suzuki Koichi

机构信息

Leprosy Research Center, National Institute of Infectious Diseases, Tokyo, Japan.

出版信息

Methods Mol Biol. 2013;1067:23-34. doi: 10.1007/978-1-62703-607-8_2.

Abstract

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.

摘要

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。

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