Department of Chemistry and Biochemistry, Center for Biomolecular Structure and Organization, University of Maryland, College Park, MD, 20742, USA.
Basic Research Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, 21702, USA.
J Biomol NMR. 2020 Jul;74(6-7):321-331. doi: 10.1007/s10858-020-00315-z. Epub 2020 May 3.
Many regulatory RNAs undergo dynamic exchanges that are crucial for their biological functions and NMR spectroscopy is a versatile tool for monitoring dynamic motions of biomolecules. Meaningful information on biomolecular dynamics requires an accurate measurement of relaxation parameters such as longitudinal (R) rates, transverse (R) rates and heteronuclear Overhauser effect (hNOE). However, earlier studies have shown that the large C-C interactions complicate analysis of the carbon relaxation parameters. To investigate the effect of C-C interactions on RNA dynamic studies, we performed relaxation measurements on various RNA samples with different labeling patterns and compared these measurements with the computational simulations. For uniformly labeled samples, contributions of the neighboring carbon to R measurements were observed. These contributions increased with increasing magnetic field and overall correlation time ([Formula: see text]) for R rates, necessitating more careful analysis for uniformly labeled large RNAs. In addition, the hNOE measurements were also affected by the adjacent carbon nuclei. Unlike R rates, R rates showed relatively good agreement between uniformly- and site-selectively labeled samples, suggesting no dramatic effect from their attached carbon, in agreement with previous observations. Overall, having more accurate rate measurements avoids complex analysis and will be a key for interpreting C relaxation rates for molecular motion that can provide valuable insights into cellular molecular recognition events.
许多调控 RNA 经历动态交换,这对它们的生物功能至关重要,NMR 光谱是监测生物分子动态运动的多功能工具。关于生物分子动力学的有意义信息需要准确测量弛豫参数,如纵向(R)率、横向(R)率和异核 Overhauser 效应(hNOE)。然而,早期的研究表明,大的 C-C 相互作用使 RNA 碳弛豫参数的分析变得复杂。为了研究 C-C 相互作用对 RNA 动态研究的影响,我们对具有不同标记模式的各种 RNA 样品进行了弛豫测量,并将这些测量结果与计算模拟进行了比较。对于均匀标记的样品,观察到相邻碳原子对 R 测量的贡献。这些贡献随着磁场的增加和 R 率的总相关时间 ([Formula: see text]) 而增加,因此对于均匀标记的大型 RNA 需要更仔细的分析。此外,hNOE 测量也受到相邻碳原子核的影响。与 R 率不同,R 率在均匀和位点选择性标记样品之间显示出相对较好的一致性,表明其附着的碳没有明显的影响,这与以前的观察结果一致。总的来说,更准确的速率测量可以避免复杂的分析,并且是解释用于分子运动的 C 弛豫速率的关键,这可以为细胞分子识别事件提供有价值的见解。