Suppr超能文献

通过对珠上肽库进行磷酸化、磷酸特异性染色、自动分选和测序来确定蛋白激酶底物特异性的方法。

Method for determining protein kinase substrate specificities by the phosphorylation of peptide libraries on beads, phosphate-specific staining, automated sorting, and sequencing.

作者信息

Gast R, Glökler J, Höxter M, Kiess M, Frank R, Tegge W

机构信息

Gesellschaft für Biotechnologische Forschung, AG Molecular Recognition, Mascheroder Weg 1, D-38124 Braunschweig, Germany.

出版信息

Anal Biochem. 1999 Dec 15;276(2):227-41. doi: 10.1006/abio.1999.4285.

Abstract

A method is described for the elucidation of the peptide substrate phosphorylation specificity of a protein kinase. Peptide libraries with two to six degenerate positions and a length of seven or nine amino acids were generated directly on Sepharose beads by solid-phase peptide synthesis according to the split-and-mix procedure. The immobilized peptides were incubated with the catalytic subunit of the cyclic AMP-dependent protein kinase (PKA) as a model enzyme resulting in the phosphorylation of the beads that contain the recognition motif of the kinase. The beads were then stained with a new phosphate-monoester-specific fluorescent dye consisting of a complex of iron(III) with fluorescein-coupled iminodiacetic acid. A flow cytometer was used to analyze the phosphorylation efficiency and the beads with the highest phosphorylation degree were isolated by the use of a fluorescence-activated cell sorter. Pool sequencing of those beads revealed the preferred kinase motif. The results are in good agreement with data from the literature. The method lends itself to the rapid elucidation of the specificity of uncharacterized protein kinases.

摘要

本文描述了一种阐明蛋白激酶肽底物磷酸化特异性的方法。按照“分割与混合”程序,通过固相肽合成法在琼脂糖珠上直接生成具有两个至六个简并位置且长度为七个或九个氨基酸的肽文库。将固定化的肽与作为模型酶的环磷酸腺苷依赖性蛋白激酶(PKA)催化亚基一起孵育,导致含有该激酶识别基序的珠子发生磷酸化。然后用一种新的磷酸单酯特异性荧光染料对珠子进行染色,该染料由铁(III)与荧光素偶联亚氨基二乙酸的复合物组成。使用流式细胞仪分析磷酸化效率,并通过荧光激活细胞分选仪分离出磷酸化程度最高的珠子。对这些珠子进行混合测序揭示了优选的激酶基序。结果与文献数据高度一致。该方法有助于快速阐明未表征蛋白激酶的特异性。

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