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用于通过高通量测序进行微小RNA定量分析的小RNA分子高效连接

Highly efficient ligation of small RNA molecules for microRNA quantitation by high-throughput sequencing.

作者信息

Lee Jerome E, Yi Rui

机构信息

Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder.

Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder; Linda Crnic Institute for Down Syndrome, University of Colorado, Denver;

出版信息

J Vis Exp. 2014 Nov 18(93):e52095. doi: 10.3791/52095.

Abstract

MiRNA cloning and high-throughput sequencing, termed miR-Seq, stands alone as a transcriptome-wide approach to quantify miRNAs with single nucleotide resolution. This technique captures miRNAs by attaching 3' and 5' oligonucleotide adapters to miRNA molecules and allows de novo miRNA discovery. Coupling with powerful next-generation sequencing platforms, miR-Seq has been instrumental in the study of miRNA biology. However, significant biases introduced by oligonucleotide ligation steps have prevented miR-Seq from being employed as an accurate quantitation tool. Previous studies demonstrate that biases in current miR-Seq methods often lead to inaccurate miRNA quantification with errors up to 1,000-fold for some miRNAs. To resolve these biases imparted by RNA ligation, we have developed a small RNA ligation method that results in ligation efficiencies of over 95% for both 3' and 5' ligation steps. Benchmarking this improved library construction method using equimolar or differentially mixed synthetic miRNAs, consistently yields reads numbers with less than two-fold deviation from the expected value. Furthermore, this high-efficiency miR-Seq method permits accurate genome-wide miRNA profiling from in vivo total RNA samples.

摘要

微小RNA克隆和高通量测序,即miR-Seq,是一种全转录组范围的方法,能够以单核苷酸分辨率对微小RNA进行定量。该技术通过将3'和5'寡核苷酸接头连接到微小RNA分子上来捕获微小RNA,并允许从头发现微小RNA。结合强大的新一代测序平台,miR-Seq在微小RNA生物学研究中发挥了重要作用。然而,寡核苷酸连接步骤引入的显著偏差阻碍了miR-Seq作为一种准确的定量工具的应用。先前的研究表明,当前miR-Seq方法中的偏差常常导致微小RNA定量不准确,某些微小RNA的误差高达1000倍。为了解决RNA连接带来的这些偏差,我们开发了一种小RNA连接方法,该方法在3'和5'连接步骤中的连接效率均超过95%。使用等摩尔或差异混合的合成微小RNA对这种改进的文库构建方法进行基准测试,得到的读数数量与预期值的偏差始终小于两倍。此外,这种高效的miR-Seq方法能够从体内总RNA样本中准确地进行全基因组微小RNA分析。

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