Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway.
Department of Biostatistics, Oslo Centre for Biostatistics and Epidemiology, University of Oslo, Oslo, Norway.
RNA Biol. 2020 Jan;17(1):75-86. doi: 10.1080/15476286.2019.1667741. Epub 2019 Sep 27.
High-throughput sequencing is increasingly favoured to assay the presence and abundance of microRNAs (miRNAs) in biological samples, even from low RNA amounts, and a number of commercial vendors now offer kits that allow miRNA sequencing from sub-nanogram (ng) inputs. Although biases introduced during library preparation have been documented, the relative performance of current reagent kits has not been investigated in detail. Here, six commercial kits capable of handling <100ng total RNA input were used for library preparation, performed by kit manufactures, on synthetic miRNAs of known quantities and human total RNA samples. We compared the performance of miRNA detection sensitivity, reliability, titration response and the ability to detect differentially expressed miRNAs. In addition, we assessed the use of unique molecular identifiers (UMI) sequence tags in one kit. We observed differences in detection sensitivity and ability to identify differentially expressed miRNAs between the kits, but none were able to detect the full repertoire of synthetic miRNAs. The reliability within the replicates of all kits was good, while larger differences were observed between the kits, although none could accurately quantify the relative levels of the majority of miRNAs. UMI tags, at least within the input ranges tested, offered little advantage to improve data utility. In conclusion, biases in miRNA abundance are heavily influenced by the kit used for library preparation, suggesting that comparisons of datasets prepared by different procedures should be made with caution. This article is intended to assist researchers select the most appropriate kit for their experimental conditions.
高通量测序越来越受到青睐,可用于检测生物样本中 microRNAs(miRNAs)的存在和丰度,即使是在低 RNA 量的情况下,并且现在有许多商业供应商提供试剂盒,可允许从亚纳克(ng)输入量中进行 miRNA 测序。尽管在文库制备过程中引入的偏倚已被记录下来,但目前还没有详细研究试剂试剂盒的相对性能。在这里,使用了六种能够处理<100ng 总 RNA 输入的商业试剂盒,由试剂盒制造商用于具有已知数量的合成 miRNA 和人类总 RNA 样本的文库制备。我们比较了 miRNA 检测灵敏度、可靠性、滴定反应和检测差异表达 miRNA 的能力。此外,我们还评估了一个试剂盒中独特分子标识符(UMI)序列标签的使用。我们观察到试剂盒之间在检测灵敏度和识别差异表达 miRNA 的能力上存在差异,但没有一个试剂盒能够检测到全部合成 miRNA 的全部谱。所有试剂盒内重复检测的可靠性都很好,尽管试剂盒之间存在较大差异,但没有一个试剂盒能够准确地量化大多数 miRNA 的相对水平。UMI 标签,至少在测试的输入范围内,并没有提供太多优势来提高数据的可用性。总之,miRNA 丰度的偏倚受用于文库制备的试剂盒的强烈影响,这表明应谨慎比较由不同程序制备的数据集。本文旨在帮助研究人员根据自己的实验条件选择最合适的试剂盒。
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