Department of Integrative Structural and Computational Biology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA.
Department of Integrative Structural and Computational Biology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA; The Skaggs Graduate School of Chemical and Biological Sciences, Jupiter, FL, USA.
Methods. 2022 Aug;204:249-257. doi: 10.1016/j.ymeth.2022.05.001. Epub 2022 May 9.
DMS (dimethylsulfate) is a time-tested chemical probe for nucleic acid secondary structure that has recently re-emerged as a powerful tool to study RNA structure and structural changes, by coupling it to high throughput sequencing techniques. This variant, termed DMS-MaPseq, allows for mapping of all RNAs in a cell at the same time. However, if an RNA adopts different structures, for example during the assembly of an RNA-protein complex, or as part of its functional cycle, then DMS-MaPseq cannot differentiate between these structures, and an ensemble average will be produced. This is especially challenging for long-lived RNAs, such as ribosomes, whose steady-state abundance far exceeds that of any assembly intermediates, rendering those inaccessible to DMS-MaPseq on total RNAs. These challenges can be overcome by purification of assembly intermediates stalled at specific assembly steps (or steps in the functional cycle), via a combination of affinity tags and mutants stalled at defined steps, and subsequent DMS probing of these intermediates. Interpretation of the differences in DMS accessibility is facilitated by additional structural information, e.g. from cryo-EM experiments, available for many functional RNAs. While this approach is generally useful for studying RNA folding or conformational changes within RNA-protein complexes, it can be particularly valuable for studying the role(s) of DEAD-box proteins, as these tend to lead to larger conformational rearrangements, often resulting from the release of an RNA-binding protein from a bound RNA. Here we provide an adaptation of the DMS-MaPseq protocol to study RNA conformational transitions during ribosome assembly, which addresses the challenges arising from the presence of many assembly intermediates, all at concentrations far below that of mature ribosomes. While this protocol was developed for the yeast S. cerevisiae, we anticipate that it should be readily transferable to other model organisms for which affinity purification has been established.
DMS(二甲基亚砜)是一种经过时间考验的核酸二级结构化学探针,最近它作为一种强大的工具重新出现,通过与高通量测序技术结合,用于研究 RNA 结构和结构变化。这种变体称为 DMS-MaPseq,可以同时绘制细胞中所有 RNA 的图谱。然而,如果 RNA 采用不同的结构,例如在 RNA-蛋白质复合物的组装过程中,或者作为其功能循环的一部分,那么 DMS-MaPseq 就无法区分这些结构,而只能产生一个综合平均图谱。对于长寿命的 RNA 来说,这尤其具有挑战性,例如核糖体,其稳态丰度远远超过任何组装中间体的丰度,使得这些中间体在总 RNA 上无法被 DMS-MaPseq 检测到。通过将结合标签和在特定步骤(或功能循环中的步骤)处停滞的突变体结合使用,可以克服这些挑战,并对这些中间体进行后续的 DMS 探测。通过对许多功能性 RNA 可用的额外结构信息(例如来自 cryo-EM 实验的数据),可以促进对 DMS 可及性差异的解释。虽然这种方法通常可用于研究 RNA 折叠或 RNA-蛋白质复合物内的构象变化,但对于研究 DEAD 框蛋白的作用特别有价值,因为这些蛋白往往会导致更大的构象重排,通常是由于 RNA 结合蛋白从结合的 RNA 上释放出来。在这里,我们提供了一种对 DMS-MaPseq 方案的改编,用于研究核糖体组装过程中 RNA 构象转变,该方案解决了由于存在许多组装中间体且其浓度远低于成熟核糖体而产生的挑战。虽然该方案是为酵母 S. cerevisiae 开发的,但我们预计它应该很容易转移到其他已经建立了亲和纯化的模式生物。