Suppr超能文献

基于膦酸锆的微阵列上用于特定蛋白质结合的可磷酸化标签的工程改造。

Engineering of a phosphorylatable tag for specific protein binding on zirconium phosphonate based microarrays.

机构信息

Laboratoire de Biotechnologie, Biocatalyse et Biorégulation, UFR Sciences et Techniques, Université de Nantes, CNRS, UMR 6204, 2, rue de la Houssinière, BP 92208, 44322, Nantes Cedex 3, France.

出版信息

J Biol Inorg Chem. 2012 Mar;17(3):399-407. doi: 10.1007/s00775-011-0863-y. Epub 2011 Dec 13.

Abstract

A phosphorylatable tag was designed and fused at the C-terminal end of proteins, which allowed efficient and oriented immobilization of capture proteins on glass substrates coated with a zirconium phosphonate monolayer. The concept is demonstrated using Nanofitin directed against lysozyme. This peptide tag (DSDSSSEDE) contains four serines in an acidic environment, which favored its in vitro phosphorylation by casein kinase II. The resulting phosphate cluster at the C-terminal end of the protein provided a specific, irreversible, and multipoint attachment to the zirconium surface. In a microarray format, the high surface coverage led to high fluorescence signal after incubation with Alexa Fluor 647 labeled lysozyme. The detection sensitivity of the microarray for the labeled target was below 50 pM, owing to the exceptionally low background staining, which resulted in high fluorescence signal to noise ratios. The performance of this new anchoring strategy using a zirconium phosphonate modified surface compares favorably with that of other types of microarray substrates, such as nitrocellulose-based or epoxide slides, which bind proteins in a nonoriented way.

摘要

设计并在蛋白质的 C 末端融合了一个可磷酸化的标签,使得捕获蛋白能够高效、定向地固定在涂有锆膦酸盐单层的玻璃基质上。该概念使用针对溶菌酶的 Nanofitin 进行了验证。该肽标签(DSDSSSEDE)在酸性环境中含有四个丝氨酸,有利于其在体外被酪蛋白激酶 II 磷酸化。蛋白质 C 末端的磷酸簇提供了与锆表面的特异性、不可逆和多点附着。在微阵列形式中,高表面覆盖率导致与 Alexa Fluor 647 标记的溶菌酶孵育后产生高荧光信号。由于背景染色极低,导致荧光信号与噪声的比值很高,该微阵列对标记靶标的检测灵敏度低于 50 pM。这种使用锆膦酸盐修饰表面的新型锚固策略的性能优于其他类型的微阵列底物,如基于硝纤

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验