Institute for Biochemistry, Leipzig University, Leipzig, Germany.
Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany.
RNA Biol. 2020 Jan;17(1):23-32. doi: 10.1080/15476286.2019.1664250. Epub 2019 Sep 16.
Transfer RNAs belong to the most abundant type of ribonucleic acid in the cell, and detailed investigations revealed correlations between alterations in the tRNA pool composition and certain diseases like breast cancer. However, currently available methods do not sample the entire tRNA pool or lack specificity for tRNAs. A specific disadvantage of such methods is that only full-length tRNAs are analysed, while tRNA fragments or incomplete cDNAs due to RT stops at modified nucleosides are lost. Another drawback in certain approaches is that the tRNA fraction has to be isolated and separated from high molecular weight RNA, resulting in considerable labour costs and loss of material. Based on a hairpin-shaped adapter oligonucleotide selective for tRNA transcripts, we developed a highly specific protocol for efficient and comprehensive high-throughput analysis of tRNAs that combines the benefits of existing methods and eliminates their disadvantages. Due to a 3'-TGG overhang, the adapter is specifically ligated to the tRNA 3'-CCA end. Reverse transcription prior to the ligation of a second adapter allows to include prematurely terminated cDNA products, increasing the number of tRNA reads. This strategy renders this approach a powerful and universal tool to analyse the tRNA pool of cells and organisms under different conditions in health and disease.
转移 RNA 属于细胞中最丰富的 RNA 类型,详细的研究揭示了 tRNA 池组成的改变与乳腺癌等某些疾病之间的相关性。然而,目前可用的方法不能对整个 tRNA 池进行采样,或者缺乏对 tRNA 的特异性。这些方法的一个特定缺点是,仅分析全长 tRNA,而由于在修饰核苷处的 RT 停止,导致 tRNA 片段或不完整的 cDNA 丢失。在某些方法中,另一个缺点是必须分离和分离 tRNA 部分从高分子量 RNA 中分离出来,这导致相当大的劳动力成本和材料损失。基于针对 tRNA 转录本的发夹形衔接子寡核苷酸,我们开发了一种高度特异性的方案,用于对 tRNA 进行高效和全面的高通量分析,该方案结合了现有方法的优点,并消除了它们的缺点。由于 3'-TGG 突出,适配器特异性地连接到 tRNA 的 3'-CCA 末端。在连接第二个适配器之前进行逆转录,允许包括过早终止的 cDNA 产物,从而增加 tRNA 读数的数量。这种策略使该方法成为一种强大而通用的工具,可用于在健康和疾病等不同条件下分析细胞和生物体的 tRNA 池。