Suppr超能文献

一种在体内用小分子对融合蛋白进行共价标记的通用方法。

A general method for the covalent labeling of fusion proteins with small molecules in vivo.

作者信息

Keppler Antje, Gendreizig Susanne, Gronemeyer Thomas, Pick Horst, Vogel Horst, Johnsson Kai

机构信息

Institute of Molecular and Biological Chemistry, Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015, Lausanne, Switzerland.

出版信息

Nat Biotechnol. 2003 Jan;21(1):86-9. doi: 10.1038/nbt765. Epub 2002 Dec 9.

Abstract

Characterizing the movement, interactions, and chemical microenvironment of a protein inside the living cell is crucial to a detailed understanding of its function. Most strategies aimed at realizing this objective are based on genetically fusing the protein of interest to a reporter protein that monitors changes in the environment of the coupled protein. Examples include fusions with fluorescent proteins, the yeast two-hybrid system, and split ubiquitin. However, these techniques have various limitations, and considerable effort is being devoted to specific labeling of proteins in vivo with small synthetic molecules capable of probing and modulating their function. These approaches are currently based on the noncovalent binding of a small molecule to a protein, the formation of stable complexes between biarsenical compounds and peptides containing cysteines, or the use of biotin acceptor domains. Here we describe a general method for the covalent labeling of fusion proteins in vivo that complements existing methods for noncovalent labeling of proteins and that may open up new ways of studying proteins in living cells.

摘要

表征活细胞内蛋白质的运动、相互作用和化学微环境对于详细了解其功能至关重要。大多数旨在实现这一目标的策略都是基于将感兴趣的蛋白质与一种报告蛋白进行基因融合,该报告蛋白可监测偶联蛋白环境的变化。实例包括与荧光蛋白的融合、酵母双杂交系统和裂合泛素。然而,这些技术存在各种局限性,并且人们正在投入大量精力,利用能够探测和调节蛋白质功能的小分子在体内对蛋白质进行特异性标记。目前这些方法基于小分子与蛋白质的非共价结合、双砷化合物与含半胱氨酸肽之间稳定复合物的形成,或生物素受体结构域的使用。在此,我们描述了一种在体内对融合蛋白进行共价标记的通用方法,该方法补充了现有的蛋白质非共价标记方法,并可能为研究活细胞中的蛋白质开辟新途径。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验