Department of Chemistry and Chemical Biology, TU Dortmund University, Otto-Hahn-Str. 4a, 44227, Dortmund, Germany.
J Biomol NMR. 2023 Dec;77(5-6):229-245. doi: 10.1007/s10858-023-00424-5. Epub 2023 Nov 9.
H-detected solid-state NMR spectroscopy has been becoming increasingly popular for the characterization of protein structure, dynamics, and function. Recently, we showed that higher-dimensionality solid-state NMR spectroscopy can aid resonance assignments in large micro-crystalline protein targets to combat ambiguity (Klein et al., Proc. Natl. Acad. Sci. U.S.A. 2022). However, assignments represent both, a time-limiting factor and one of the major practical disadvantages within solid-state NMR studies compared to other structural-biology techniques from a very general perspective. Here, we show that 5D solid-state NMR spectroscopy is not only justified for high-molecular-weight targets but will also be a realistic and practicable method to streamline resonance assignment in small to medium-sized protein targets, which such methodology might not have been expected to be of advantage for. Using a combination of non-uniform sampling and the signal separating algorithm for spectral reconstruction on a deuterated and proton back-exchanged micro-crystalline protein at fast magic-angle spinning, direct amide-to-amide correlations in five dimensions are obtained with competitive sensitivity compatible with common hardware and measurement time commitments. The self-sufficient backbone walks enable efficient assignment with very high confidence and can be combined with higher-dimensionality sidechain-to-backbone correlations from protonated preparations into minimal sets of experiments to be acquired for simultaneous backbone and sidechain assignment. The strategies present themselves as potent alternatives for efficient assignment compared to the traditional assignment approaches in 3D, avoiding user misassignments derived from ambiguity or loss of overview and facilitating automation. This will ease future access to NMR-based characterization for the typical solid-state NMR targets at fast MAS.
H 检测固态 NMR 光谱学在蛋白质结构、动力学和功能的表征方面变得越来越流行。最近,我们表明,更高维度的固态 NMR 光谱学可以帮助在大微结晶蛋白靶标中进行共振分配,以解决歧义(Klein 等人,Proc. Natl. Acad. Sci. U.S.A. 2022)。然而,从非常普遍的角度来看,分配不仅是固态 NMR 研究中的一个时间限制因素,也是与其他结构生物学技术相比的主要实际缺点之一。在这里,我们表明,5D 固态 NMR 光谱学不仅适用于高分子量靶标,而且对于中小分子量的蛋白质靶标,它也是一种简化共振分配的现实可行的方法,这种方法可能不会被认为是有利的。使用非均匀采样和光谱重建的信号分离算法,在快速魔角旋转下对氘代和质子回交换的微结晶蛋白进行处理,在五个维度上获得了具有竞争力的灵敏度的直接酰胺-酰胺相关,与常见的硬件和测量时间承诺兼容。自给自足的骨架遍历可以非常高的置信度进行有效的分配,并且可以与来自质子化制剂的更高维度的侧链到骨架相关联,以获得用于同时骨架和侧链分配的最小实验集。与传统的 3D 分配方法相比,这些策略本身是高效分配的有效替代方法,可以避免由于歧义或失去概览而导致的用户错误分配,并促进自动化。这将为快速 MAS 下的典型固态 NMR 靶标提供基于 NMR 的表征的未来便利。