Efficient identification of amino acid types for fast protein backbone assignments

被引:26
作者
Ou, HD
Lai, HC
Serber, Z
Dötsch, V
机构
[1] Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Mol & Cellular Pharmacol, San Francisco, CA 94143 USA
[3] Univ Calif San Francisco, Grad Grp Biophys, San Francisco, CA 94143 USA
关键词
automated assignment; calmodulin; HSQC; SAM-domain; selective labeling;
D O I
10.1023/A:1012920832184
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We describe a procedure that allows for very efficient identification of amino acid types in proteins by selective N-15-labeling. The usefulness of selective incorporation of N-15-labeled amino acids into proteins for the backbone assignment has been recognized for several years. However, widespread use of this method has been hindered by the need to purify each selectively labeled sample and by the relatively high cost of labeling with N-15-labeled amino acids. Here we demonstrate that purification of the selectively N-15-labeled samples is not necessary and that background-free HSQC spectra containing only the peaks of the overexpressed heterologous protein can be obtained in crude lysates from as little as 100 ml cultures, thus saving time and money. This method can be used for fast and automated backbone assignment of proteins.
引用
收藏
页码:269 / 273
页数:5
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