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pH Dependency of the Carboxyl Oxygen Exchange Reaction Catalyzed by Lysyl Endopeptidase and Trypsin

化学 胰蛋白酶 催化作用 基质(水族馆) 酶动力学 酰胺 药物化学 立体化学 活动站点 生物化学 海洋学 地质学
作者
Dagmar Hajkova,K. Chandrasekhara Rao,Masaru Miyagi
出处
期刊:Journal of Proteome Research [American Chemical Society]
卷期号:5 (7): 1667-1673 被引量:49
标识
DOI:10.1021/pr060033z
摘要

The pH dependency of the carboxyl oxygen exchange reaction catalyzed by lysyl endopeptidase (Lys-C) and trypsin has been studied. The reaction was quantitatively monitored by measuring the incorporation of 18O atom into the α-carboxyl group of Nα-acetyl-l-lysine from H218O solvent. The optimum pHs of the carboxyl oxygen exchange reaction catalyzed by Lys-C and trypsin were found to be pH 5.0 and 6.0, respectively, which were significantly shifted toward acidic pHs compared to the most favorable pHs of their amidase activities for Nα-acetyl-l-lysine amide in the pHs examined. Steady-state kinetics parameters were also determined for both enzymes at two different pHs, one at the pH optimum for their carboxyl oxygen exchange activity (pH 5−6) and the other at the favorable pH for their amidase activity (pH 8−9). Significantly lower Km (2-fold lower for Lys-C, 3-fold lower for trypsin), and higher kcat values (1.5-fold higher for Lys-C, 5-fold higher for trypsin) were obtained at the acidic pHs compared to the alkaline pHs, suggesting that Lys-C and trypsin have higher substrate binding affinities and higher catalytic rates at the acidic pHs than at the alkaline pHs. The higher carboxyl oxygen exchange activities at the acidic pHs were also confirmed with peptide substrates derived from apomyoglobin. These findings are significant toward the goal of improving the efficiency of the Lys-C and trypsin catalyzed 18O labeling reactions and are thus pertinent to improving the accuracy and reliability of quantitative proteomic experiments utilizing 18O labeling. Keywords: carboxyl oxygen exchange • 18O incorporation • mass spectrometry • lysyl endopeptidase • trypsin • quantitative proteomics • comparative proteomics
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