Rieveschl Laboratories for Mass Spectrometry, Department of Chemistry, University of Cincinnati, Cincinnati, OH 45221, USA.
Analyst. 2020 Feb 3;145(3):816-827. doi: 10.1039/c9an02111f.
Locating ribonucleoside modifications within an RNA sequence requires digestion of the RNA into oligoribonucleotides of amenable size for subsequent analysis by LC-MS (liquid chromatography-mass spectrometry). This approach, widely referred to as RNA modification mapping, is facilitated through ribonucleases (RNases) such as T1 (guanosine-specific), U2 (purine-selective) and A (pyrimidine-specific) among others. Sequence coverage by these enzymes depends on positioning of the recognized nucleobase (such as guanine or purine or pyrimidine) in the sequence and its ribonucleotide composition. Using E. coli transfer RNA (tRNA) and ribosomal RNA (rRNA) as model samples, we demonstrate the ability of complementary nucleobase-specific ribonucleases cusativin (C-specific) and MC1 (U-specific) to generate digestion products that facilitate confident mapping of modifications in regions such as G-rich and pyrimidine-rich segments of RNA, and to distinguish C to U sequence differences. These enzymes also increase the number of oligonucleotide digestion products that are unique to a specific RNA sequence. Further, with these additional RNases, multiple modifications can be localized with high confidence in a single set of experiments with minimal dependence on the individual tRNA abundance in a mixture. The sequence overlaps observed with these complementary digestion products and that of RNase T1 improved sequence coverage to 75% or above. A similar level of sequence coverage was also observed for the 2904 nt long 23S rRNA indicating their utility has no dependence on RNA size. Wide-scale adoption of these additional modification mapping tools could help expedite the characterization of modified RNA sequences to understand their structural and functional role in various living systems.
要在 RNA 序列中定位核糖核苷修饰,需要将 RNA 消化成适合后续通过 LC-MS(液相色谱-质谱)分析的寡核糖核苷酸。这种方法通常称为 RNA 修饰图谱绘制,通过 T1(鸟嘌呤特异性)、U2(嘌呤选择性)和 A(嘧啶特异性)等核糖核酸酶(RNases)来实现。这些酶的序列覆盖范围取决于序列中被识别的核碱基(如鸟嘌呤或嘌呤或嘧啶)的位置及其核糖核苷酸组成。我们使用大肠杆菌转移 RNA(tRNA)和核糖体 RNA(rRNA)作为模型样本,展示了互补碱基特异性核糖核酸酶 cusativin(C 特异性)和 MC1(U 特异性)生成消化产物的能力,这些产物有助于在富含 G 和富含嘧啶的 RNA 区域等区域中对修饰进行有信心的图谱绘制,并区分 C 到 U 的序列差异。这些酶还增加了与特定 RNA 序列独特的寡核苷酸消化产物的数量。此外,通过这些额外的 RNases,可以在一组实验中高度置信地定位多个修饰,而对混合物中单个 tRNA 的丰度的依赖性最小。与这些互补消化产物观察到的序列重叠与 RNase T1 的序列重叠提高了序列覆盖率至 75%或更高。23S rRNA 的长度为 2904 个核苷酸,其序列覆盖率也达到了类似的水平,这表明它们的用途不依赖于 RNA 的大小。广泛采用这些额外的修饰图谱绘制工具可以帮助加快对修饰 RNA 序列的表征,以了解它们在各种生命系统中的结构和功能作用。