Application of reductive ¹³C-methylation of lysines to enhance the sensitivity of conventional NMR methods.
Application of reductive ¹³C-methylation of lysines to enhance the sensitivity of conventional NMR methods.
复制标题
赖氨酸的还原性αC-甲基化的应用以增强常规NMR方法的敏感性。
DOI:
10.3390/molecules18067103
复制
发表时间:
2013-06-18
期刊:
影响因子:
--
通讯作者:
Gaponenko V
中科院分区:
文献类型:
--
作者:
Chavan TS;Abraham S;Gaponenko V
NMR is commonly used to investigate macromolecular interactions. However, sensitivity problems hamper its use for studying such interactions at low physiologically relevant concentrations. At high concentrations, proteins or peptides tend to aggregate. In order to overcome this problem, we make use of reductive 13C-methylation to study protein interactions at low micromolar concentrations. Methyl groups in dimethyl lysines are degenerate with one 13CH3 signal arising from two carbons and six protons, as compared to one carbon and three protons in aliphatic amino acids. The improved sensitivity allows us to study protein-protein or protein-peptide interactions at very low micromolar concentrations. We demonstrate the utility of this method by studying the interaction between the post-translationally lipidated hypervariable region of a human proto-oncogenic GTPase K-Ras and a calcium sensor protein calmodulin. Calmodulin specifically binds K-Ras and modulates its downstream signaling. This binding specificity is attributed to the unique lipidated hypervariable region of K-Ras. At low micromolar concentrations, the post-translationally modified hypervariable region of K-Ras aggregates and binds calmodulin in a non-specific manner, hence conventional NMR techniques cannot be used for studying this interaction, however, upon reductively methylating the lysines of calmodulin, we detected signals of the lipidated hypervariable region of K-Ras at physiologically relevant nanomolar concentrations. Thus, we utilize 13C-reductive methylation of lysines to enhance the sensitivity of conventional NMR methods for studying protein interactions at low concentrations.
登录
查看更多内容
影响因子:
14.8
作者:
Ismail, Shehab A.;Chen, Yong-Xiang;Wittinghofer, Alfred
通讯作者:
Wittinghofer, Alfred
影响因子:
4.8
作者:
Liao, Jinhui;Planchon, Sarah M.;Wolfman, Alan
通讯作者:
Wolfman, Alan
影响因子:
2.7
作者:
Larda, Sacha Thierry;Bokoch, Michael P.;Prosser, R. Scott
通讯作者:
Prosser, R. Scott
影响因子:
2.9
作者:
Abraham, Sherwin J.;Nolet, Ryan P.;Calvert, Richard J.;Anderson, Lucy M.;Gaponenko, Vadim
通讯作者:
Gaponenko, Vadim
影响因子:
5.3
作者:
Esteban, LM;Vicario-Abejón, C;Santos, E
通讯作者:
Santos, E