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本文引用的文献

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Decreasing miRNA sequencing bias using a single adapter and circularization approach.使用单接头和环化方法降低 miRNA 测序偏倚。
Genome Biol. 2018 Sep 3;19(1):105. doi: 10.1186/s13059-018-1488-z.
2
Comprehensive multi-center assessment of small RNA-seq methods for quantitative miRNA profiling.综合多中心评估小 RNA-seq 方法用于定量 miRNA 分析。
Nat Biotechnol. 2018 Sep;36(8):746-757. doi: 10.1038/nbt.4183. Epub 2018 Jul 16.
3
Metazoan MicroRNAs.后生动物 MicroRNAs。
Cell. 2018 Mar 22;173(1):20-51. doi: 10.1016/j.cell.2018.03.006.
4
Small RNA Library Preparation Method for Next-Generation Sequencing Using Chemical Modifications to Prevent Adapter Dimer Formation.利用化学修饰防止接头二聚体形成的下一代测序小RNA文库制备方法
PLoS One. 2016 Nov 22;11(11):e0167009. doi: 10.1371/journal.pone.0167009. eCollection 2016.
5
Addressing Bias in Small RNA Library Preparation for Sequencing: A New Protocol Recovers MicroRNAs that Evade Capture by Current Methods.解决用于测序的小RNA文库制备中的偏差问题:一种新方案可回收目前方法无法捕获的微小RNA。
Front Genet. 2015 Dec 22;6:352. doi: 10.3389/fgene.2015.00352. eCollection 2015.
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Non-coding RNAs: An Introduction.非编码RNA:简介
Adv Exp Med Biol. 2016;886:13-32. doi: 10.1007/978-94-017-7417-8_2.
7
Bias in ligation-based small RNA sequencing library construction is determined by adaptor and RNA structure.基于连接的小RNA测序文库构建中的偏差由接头和RNA结构决定。
PLoS One. 2015 May 5;10(5):e0126049. doi: 10.1371/journal.pone.0126049. eCollection 2015.
8
Proliferation and tumorigenesis of a murine sarcoma cell line in the absence of DICER1.在不存在 DICER1 的情况下,一种鼠肉瘤细胞系的增殖和肿瘤发生。
Cancer Cell. 2012 Jun 12;21(6):848-55. doi: 10.1016/j.ccr.2012.04.037.
9
miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades.miRDeep2 能够准确识别七个动物类群中的已知microRNA 基因和数百个新的 microRNA 基因。
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10
RNA-ligase-dependent biases in miRNA representation in deep-sequenced small RNA cDNA libraries.深度测序小 RNA cDNA 文库中 miRNA 代表的 RNA 连接酶依赖性偏倚。
RNA. 2011 Sep;17(9):1697-712. doi: 10.1261/rna.2799511. Epub 2011 Jul 20.

多站点评估下一代小 RNA 定量方法。

Multisite Evaluation of Next-Generation Methods for Small RNA Quantification.

机构信息

Molecular Biology Core Facilities at Dana-Farber Cancer Institute, Boston, Massachusetts, USA.

Bioinformatics Core, Purdue University, West Lafayette, Indiana, USA.

出版信息

J Biomol Tech. 2020 Jul;31(2):47-56. doi: 10.7171/jbt.20-3102-001.

DOI:10.7171/jbt.20-3102-001
PMID:31966025
原文链接:
https://pmc.ncbi.nlm.nih.gov/articles/PMC6953595/
Abstract

Small RNAs (smRNAs) are important regulators of many biologic processes and are now most frequently characterized using Illumina sequencing. However, although standard RNA sequencing library preparation has become routine in most sequencing facilities, smRNA sequencing library preparation has historically been challenging because of high input requirements, laborious protocols involving gel purifications, inability to automate, and a lack of benchmarking standards. Additionally, studies have suggested that many of these methods are nonlinear and do not accurately reflect the amounts of smRNAs . Recently, a number of new kits have become available that permit lower input amounts and less laborious, gel-free protocol options. Several of these new kits claim to reduce RNA ligase-dependent sequence bias through novel adapter modifications and to lessen adapter-dimer contamination in the resulting libraries. With the increasing number of smRNA kits available, understanding the relative strengths of each method is crucial for appropriate experimental design. In this study, we systematically compared 9 commercially available smRNA library preparation kits as well as NanoString probe hybridization across multiple study sites. Although several of the new methodologies do reduce the amount of artificially over- and underrepresented microRNAs (miRNAs), we observed that none of the methods was able to remove all of the bias in the library preparation. Identical samples prepared with different methods show highly varied levels of different miRNAs. Even so, many methods excelled in ease of use, lower input requirement, fraction of usable reads, and reproducibility across sites. These differences may help users select the most appropriate methods for their specific question of interest.

摘要

小 RNA(smRNA)是许多生物过程的重要调节剂,现在最常使用 Illumina 测序进行特征分析。然而,尽管标准 RNA 测序文库制备在大多数测序设施中已成为常规操作,但由于高输入要求、涉及凝胶纯化的繁琐方案、无法自动化以及缺乏基准标准,smRNA 测序文库制备一直具有挑战性。此外,研究表明,其中许多方法是非线性的,不能准确反映 smRNA 的含量。最近,许多新试剂盒已经可以使用,这些试剂盒允许使用更少的输入量和更不繁琐的无凝胶方案。其中一些新试剂盒声称通过新的接头修饰减少 RNA 连接酶依赖性序列偏差,并减少文库中接头二聚体的污染。随着 smRNA 试剂盒数量的增加,了解每种方法的相对优势对于适当的实验设计至关重要。在这项研究中,我们在多个研究地点系统比较了 9 种市售的 smRNA 文库制备试剂盒以及 NanoString 探针杂交。尽管几种新方法确实减少了人为过表达和低表达的 microRNA(miRNA)的数量,但我们观察到,没有一种方法能够完全消除文库制备中的偏差。用不同方法制备的相同样本显示出不同 miRNA 的高度差异水平。即便如此,许多方法在易用性、低输入要求、可用读数的比例以及跨站点的可重复性方面表现出色。这些差异可能有助于用户根据自己感兴趣的特定问题选择最合适的方法。