Alons Lends, Mélanie Berbon, Birgit Habenstein, Yusuke Nishiyama, Antoine Loquet
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引用次数: 4
摘要
固体核磁共振波谱是一种强大的技术,可以在原子分辨率上研究不溶性和非晶体蛋白质和蛋白质复合物。快速魔角旋转(MAS)质子(1H)检测技术的发展大大提高了该技术的分析能力,使在几小时内获得1H检测指纹实验成为可能。本文提出了一种基于双量子(DQ) 13C光谱的方法,在1H上检测,用于快速MAS状态(> 60 kHz),以执行小尺寸不溶性蛋白质的顺序分配,而不需要任何特定的氘化要求。通过结合两个三维1H检测实验,分别将13C DQ维度与其残基内和顺序的15对N-1H对相关联,获得了DQ (Ca + CO)共振的顺序遍历。该方法利用快速MAS实现了高效的灵敏度,并且增加了DQ维,为共振分配过程提供了有用的光谱特征。
Protein resonance assignment by solid-state NMR based on 1H-detected 13C double-quantum spectroscopy at fast MAS
Solid-state NMR spectroscopy is a powerful technique to study insoluble and non-crystalline proteins and protein complexes at atomic resolution. The development of proton (1H) detection at fast magic-angle spinning (MAS) has considerably increased the analytical capabilities of the technique, enabling the acquisition of 1H-detected fingerprint experiments in few hours. Here an approach based on double-quantum (DQ) 13C spectroscopy, detected on 1H, is proposed for fast MAS regime (> 60 kHz) to perform the sequential assignment of insoluble proteins of small size, without any specific deuteration requirement. By combining two three-dimensional 1H detected experiments correlating a 13C DQ dimension respectively to its intra-residue and sequential 15 N-1H pairs, a sequential walk through DQ (Ca + CO) resonance is obtained. The approach takes advantage of fast MAS to achieve an efficient sensitivity and the addition of a DQ dimension provides spectral features useful for the resonance assignment process.
期刊介绍:
The Journal of Biomolecular NMR provides a forum for publishing research on technical developments and innovative applications of nuclear magnetic resonance spectroscopy for the study of structure and dynamic properties of biopolymers in solution, liquid crystals, solids and mixed environments, e.g., attached to membranes. This may include:
Three-dimensional structure determination of biological macromolecules (polypeptides/proteins, DNA, RNA, oligosaccharides) by NMR.
New NMR techniques for studies of biological macromolecules.
Novel approaches to computer-aided automated analysis of multidimensional NMR spectra.
Computational methods for the structural interpretation of NMR data, including structure refinement.
Comparisons of structures determined by NMR with those obtained by other methods, e.g. by diffraction techniques with protein single crystals.
New techniques of sample preparation for NMR experiments (biosynthetic and chemical methods for isotope labeling, preparation of nutrients for biosynthetic isotope labeling, etc.). An NMR characterization of the products must be included.