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首页> 外文期刊>Journal of Molecular Biology >Improved segmental isotope labeling methods for the NMR study of multidomain or large proteins: Application to the RRMs of Npl3p and hnRNP L
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Improved segmental isotope labeling methods for the NMR study of multidomain or large proteins: Application to the RRMs of Npl3p and hnRNP L

机译:改进的用于多域或大分子NMR研究的分段同位素标记方法:在Npl3p和hnRNP L的RRM中的应用

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摘要

The study of multidomain or large proteins in solution by NMR spectroscopy has been made possible in recent years by the development of new spectroscopic methods. However, resonance overlap found in large proteins remains a limiting factor, making resonance assignments and structure determination of large proteins very difficult. In this study, we present an expressed protein ligation protocol that can be used for the segmental isotopic labeling of virtually any multidomain or high molecular mass protein, independent of both the folding state and the solubility of the protein fragments, as well as independent of whether the fragments are interacting. The protocol was applied successfully to two different multidomain proteins containing RNA recognition motifs (RRMs), heterogeneous nuclear ribonucleoprotein L and Npl3p. High yields of segmentally labeled proteins could be obtained, allowing characterization of the interdomain interactions with NMR spectroscopy. We found that the RRMs of heterogeneous nuclear ribonucleoprotein L interact, whereas those of Npl3p are independent. Subsequently, the structures of the two RRMs of Npl3p were determined on the basis of samples in which each RRM was expressed individually. The two Npl3p RRMs adopt the expected fold. (c) 2007 Elsevier Ltd. All rights reserved.
机译:近年来,通过开发新的光谱方法,使得通过NMR光谱研究溶液中的多域或大蛋白质成为可能。但是,在大蛋白中发现的共振重叠仍然是一个限制因素,这使得大蛋白的共振分配和结构确定非常困难。在这项研究中,我们提出了一种表达的蛋白质连接方案,该方案可用于几乎任何多域或高分子量蛋白质的分段同位素标记,而与折叠状态和蛋白质片段的溶解度以及是否是否折叠无关。碎片在相互作用。该协议已成功应用于两种不同的包含RNA识别基序(RRM)的多域蛋白:异质核糖核蛋白L和Npl3p。可以得到高产率的节段标记蛋白,从而可以利用NMR光谱表征域间相互作用。我们发现异质核糖核蛋白L的RRM相互作用,而Npl3p的RRM是独立的。随后,基于其中每个RRM单独表达的样品,确定Npl3p的两个RRM的结构。两个Npl3p RRM采用预期的倍数。 (c)2007 Elsevier Ltd.保留所有权利。

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