Improvement in protein HSQC spectra from addition of betaine

IF 1.9 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Biomolecular NMR Pub Date : 2025-03-10 DOI:10.1007/s10858-025-00463-0
Finn O’Dea, Aiden J. Seargeant, Jessica Hurcum, Rodolpho do Aido-Machado, Michelle L. Rowe, Nicola J. Baxter, Jon P. Waltho, Jon R. Sayers, Mike P. Williamson
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Abstract

Addition of glycine betaine up to 1 M gave rise to increased intensity for some weak signals in the HSQC spectra of barnase and Plasmodium falciparum flap endonuclease. The signals that were enhanced were low intensity signals, often from amide groups with rapid internal motion (low order parameter). The majority of signals are however somewhat weaker because of the increased viscosity. Addition of betaine is shown to cause a small but significant overall increase in order parameter, no consistent effect on conformational change on the µs-ms timescale, and a reduction in amide exchange rates, by a factor of about 3. The results are consistent with a model in which betaine leads to a reduction in fluctuations within the bulk water, which in turn produces a reduction in internal fluctuations of the protein.

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甜菜碱对蛋白质HSQC光谱的改善。
甘氨酸甜菜碱添加到1 M时,使麦秆酶和恶性疟原虫瓣内切酶HSQC谱中一些微弱信号的强度增加。增强的信号为低强度信号,通常来自快速内运动的酰胺基团(低阶参数)。然而,由于粘度的增加,大多数信号都有点弱。结果表明,甜菜碱的加入导致了序参数的小幅但显著的总体增加,对μ s-ms时间尺度上的构象变化没有一致的影响,并且酰胺交换率降低了约3倍。结果与一个模型一致,在这个模型中,甜菜碱导致散装水中波动的减少,这反过来又导致蛋白质内部波动的减少。
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来源期刊
Journal of Biomolecular NMR
Journal of Biomolecular NMR 生物-光谱学
CiteScore
6.00
自引率
3.70%
发文量
19
审稿时长
6-12 weeks
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.
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