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通过羟基磷灰石层析进行 cDNA 归一化,以富集 RNA-seq 应用中转录组的多样性。

cDNA normalization by hydroxyapatite chromatography to enrich transcriptome diversity in RNA-seq applications.

机构信息

Biotechnology and Bioengineering Department, Sandia National Laboratories, Livermore, CA, USA.

出版信息

Biotechniques. 2012 Dec;53(6):373-80. doi: 10.2144/000113937.

Abstract

Second-generation sequencing (SGS) has become the preferred method for RNA transcriptome profiling of organisms and single cells. However, SGS analysis of transcriptome diversity (including protein-coding transcripts and regulatory non-coding RNAs) is inefficient unless the sample of interest is first depleted of nucleic acids derived from ribosomal RNA (rRNA), which typically account for up to 95% of total intracellular RNA content. Here we describe a novel microscale hydroxyapatite chromatography (HAC) normalization method to remove eukaryotic and prokaryotic high abundant rRNA species, thereby increasing sequence coverage depth and transcript diversity across non-rRNA populations. RNA-seq analysis of Escherichia coli K-12 and human intracellular total RNA showed that HAC-based normalization enriched for all non-ribosomal RNA species regardless of RNA transcript abundance or length when compared with untreated controls. Microcolumn HAC normalization generated rRNA-depleted cDNA libraries comparable to the well-established duplex specific nuclease (DSN) normalization and Ribo-Zero rRNA-depletion methods, thus establishing microscale HAC as an effective, cost saving, and non-destructive alternative normalization technique.

摘要

第二代测序(SGS)已成为对生物和单细胞 RNA 转录组进行分析的首选方法。然而,如果不首先耗尽感兴趣的样本中的核糖体 RNA(rRNA)衍生核酸,SGS 对转录组多样性(包括编码蛋白的转录物和调节性非编码 RNA)的分析效率很低,rRNA 通常占细胞内总 RNA 含量的 95%。在这里,我们描述了一种新颖的微尺度羟基磷灰石色谱(HAC)归一化方法,用于去除真核生物和原核生物的高丰度 rRNA 物种,从而增加非 rRNA 群体的序列覆盖深度和转录多样性。与未经处理的对照相比,Escherichia coli K-12 和人类细胞内总 RNA 的 RNA-seq 分析表明,基于 HAC 的归一化富集了所有非核糖体 RNA 物种,而与 RNA 转录物丰度或长度无关。微柱 HAC 归一化生成的 rRNA 耗尽 cDNA 文库与经过充分验证的双链特异性核酸酶(DSN)归一化和 Ribo-Zero rRNA 耗尽方法相当,因此确立了微尺度 HAC 作为一种有效、节省成本且非破坏性的替代归一化技术。

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