系统比较下一代测序中小 RNA 文库制备方案。

Systematic comparison of small RNA library preparation protocols for next-generation sequencing.

机构信息

Institute for Integrative Biology of the Cell, UMR9198, CNRS CEA Univ Paris-Sud, Université Paris-Saclay, 9198, Gif sur Yvette Cedex, France.

GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France.

出版信息

BMC Genomics. 2018 Feb 5;19(1):118. doi: 10.1186/s12864-018-4491-6.

Abstract

BACKGROUND

Next-generation sequencing technologies have revolutionized the study of small RNAs (sRNAs) on a genome-wide scale. However, classical sRNA library preparation methods introduce serious bias, mainly during adapter ligation steps. Several types of sRNA including plant microRNAs (miRNA), piwi-interacting RNAs (piRNA) in insects, nematodes and mammals, and small interfering RNAs (siRNA) in insects and plants contain a 2'-O-methyl (2'-OMe) modification at their 3' terminal nucleotide. This inhibits 3' adapter ligation and makes library preparation particularly challenging. To reduce bias, the NEBNext kit (New England Biolabs) uses polyethylene glycol (PEG), the NEXTflex V2 kit (BIOO Scientific) uses both randomised adapters and PEG, and the novel SMARTer (Clontech) and CATS (Diagenode) kits avoid ligation altogether. Here we compared these methods with Illumina's classical TruSeq protocol regarding the detection of normal and 2' OMe RNAs. In addition, we modified the TruSeq and NEXTflex protocols to identify conditions that improve performance.

RESULTS

Among the five kits tested with their respective standard protocols, the SMARTer and CATS kits had the lowest levels of bias but also had a strong formation of side products, and as a result performed relatively poorly with biological samples; NEXTflex detected the largest numbers of different miRNAs. The use of a novel type of randomised adapters called MidRand-Like (MRL) adapters and PEG improved the detection of 2' OMe RNAs both in the TruSeq as well as in the NEXTflex protocol.

CONCLUSIONS

While it is commonly accepted that biases in sRNA library preparation protocols are mainly due to adapter ligation steps, the ligation-free protocols were not the best performing methods. Our modified versions of the TruSeq and NEXTflex protocols provide an improved tool for the study of 2' OMe RNAs.

摘要

背景

下一代测序技术已经彻底改变了在全基因组范围内研究小 RNA(sRNA)的方式。然而,经典的 sRNA 文库制备方法主要在接头连接步骤中引入了严重的偏差。几种类型的 sRNA,包括植物 microRNA(miRNA)、昆虫、线虫和哺乳动物的 piwi 相互作用 RNA(piRNA),以及昆虫和植物中的小干扰 RNA(siRNA),在其 3' 末端核苷酸处含有 2'-O-甲基(2'-OMe)修饰。这会抑制 3' 接头连接,使得文库制备特别具有挑战性。为了减少偏差,NEBNext 试剂盒(New England Biolabs)使用聚乙二醇(PEG),NEXTflex V2 试剂盒(BIOO Scientific)同时使用随机接头和 PEG,而新颖的 SMARTer(Clontech)和 CATS(Diagenode)试剂盒则完全避免连接。在这里,我们比较了这些方法与 Illumina 经典的 TruSeq 方案在检测正常和 2'-OMe RNA 方面的表现。此外,我们还修改了 TruSeq 和 NEXTflex 方案,以确定可以提高性能的条件。

结果

在使用各自标准方案测试的五个试剂盒中,SMARTer 和 CATS 试剂盒的偏差最小,但也形成了强烈的副产物,因此在处理生物样本时性能相对较差;NEXTflex 检测到的不同 miRNA 数量最多。使用一种称为 MidRand-Like(MRL)接头的新型随机接头和 PEG 可以提高 TruSeq 和 NEXTflex 方案中 2'-OMe RNA 的检测效率。

结论

尽管人们普遍认为 sRNA 文库制备方案中的偏差主要归因于接头连接步骤,但无连接的方案并不是表现最好的方法。我们对 TruSeq 和 NEXTflex 方案的修改版本为研究 2'-OMe RNA 提供了一种改进的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cd8/5799908/e889389528e5/12864_2018_4491_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索