Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, 91057, Evry, France.
Université Paris-Saclay, 91190, Saint-Aubin, France.
Sci Rep. 2019 May 17;9(1):7550. doi: 10.1038/s41598-019-43983-0.
High-throughput RNA-sequencing has become the gold standard method for whole-transcriptome gene expression analysis, and is widely used in numerous applications to study cell and tissue transcriptomes. It is also being increasingly used in a number of clinical applications, including expression profiling for diagnostics and alternative transcript detection. However, despite its many advantages, RNA sequencing can be challenging in some situations, for instance in cases of low input amounts or degraded RNA samples. Several protocols have been proposed to overcome these challenges, and many are available as commercial kits. In this study, we systematically test three recent commercial technologies for RNA-seq library preparation (TruSeq, SMARTer and SMARTer Ultra-Low) on human biological reference materials, using standard (1 mg), low (100 ng and 10 ng) and ultra-low (<1 ng) input amounts, and for mRNA and total RNA, stranded and unstranded. The results are analyzed using read quality and alignment metrics, gene detection and differential gene expression metrics. Overall, we show that the TruSeq kit performs well with an input amount of 100 ng, while the SMARTer kit shows decreased performance for inputs of 100 and 10 ng, and the SMARTer Ultra-Low kit performs relatively well for input amounts <1 ng. All the results are discussed in detail, and we provide guidelines for biologists for the selection of an RNA-seq library preparation kit.
高通量 RNA 测序已成为全转录组基因表达分析的金标准方法,广泛应用于众多研究细胞和组织转录组的应用中。它也越来越多地应用于一些临床应用,包括用于诊断的表达谱分析和替代转录本检测。然而,尽管它有许多优点,但在某些情况下,RNA 测序可能具有挑战性,例如输入量低或 RNA 样品降解的情况。已经提出了几种方案来克服这些挑战,其中许多方案都有商业试剂盒。在这项研究中,我们系统地测试了三种最近的商业化 RNA-seq 文库制备技术(TruSeq、SMARTer 和 SMARTer Ultra-Low)在人类生物参考材料上的应用,使用标准(1mg)、低(100ng 和 10ng)和超低(<1ng)输入量,以及 mRNA 和总 RNA、有向和无向。使用读取质量和比对指标、基因检测和差异基因表达指标对结果进行分析。总体而言,我们表明 TruSeq 试剂盒在输入量为 100ng 时表现良好,而 SMARTer 试剂盒在输入量为 100 和 10ng 时性能下降,SMARTer Ultra-Low 试剂盒在输入量<1ng 时性能相对较好。我们详细讨论了所有结果,并为生物学家提供了选择 RNA-seq 文库制备试剂盒的指南。