Caccuri A M, Antonini G, Board P G, Flanagan J, Parker M W, Paolesse R, Turella P, Federici G, Lo Bello M, Ricci G
Department of Biology, University of Rome "Tor Vergata," 00133 Rome, Italy.
J Biol Chem. 2001 Feb 23;276(8):5427-31. doi: 10.1074/jbc.M002819200. Epub 2000 Oct 23.
Rapid kinetic, spectroscopic, and potentiometric studies have been performed on human Theta class glutathione transferase T2-2 to dissect the mechanism of interaction of this enzyme with its natural substrate GSH. Theta class glutathione transferases are considered to be older than Alpha, Pi, and Mu classes in the evolutionary pathway. As in the more recently evolved GSTs, the activation of GSH in the human Theta enzyme proceeds by a forced deprotonation of the sulfhydryl group (pK(a) = 6.1). The thiol proton is released quantitatively in solution, but above pH 6.5, a protein residue acts as an internal base. Unlike Alpha, Mu, and Pi class isoenzymes, the GSH-binding mechanism occurs via a simple bimolecular reaction with k(on) and k(off) values at least hundred times lower (k(on) = (2.7 +/- 0.8) x 10(4) M(-1) s(-1), k(off) = 36 +/- 9 s(-1), at 37 degrees C). Replacement of Arg-107 by alanine, using site-directed mutagenesis, remarkably increases the pK(a) value of the bound GSH and modifies the substrate binding modality. Y107A mutant enzyme displays a mechanism and rate constants for GSH binding approaching those of Alpha, Mu, and Pi isoenzymes. Comparison of available crystallographic data for all these GSTs reveals an unexpected evolutionary trend in terms of flexibility, which provides a basis for understanding our experimental results.
已对人θ类谷胱甘肽转移酶T2-2进行了快速动力学、光谱学和电位测定研究,以剖析该酶与其天然底物谷胱甘肽(GSH)相互作用的机制。在进化途径中,θ类谷胱甘肽转移酶被认为比α、π和μ类更古老。与最近进化的谷胱甘肽转移酶一样,人θ酶中GSH的活化是通过巯基的强制去质子化(pK(a)=6.1)进行的。硫醇质子在溶液中定量释放,但在pH 6.5以上,一个蛋白质残基充当内部碱。与α、μ和π类同工酶不同,GSH结合机制是通过一个简单的双分子反应发生的,其结合和解离速率常数至少低一百倍(在37℃时,k(on)=(2.7±0.8)×10(4)M(-1)s(-1),k(off)=36±9 s(-1))。使用定点诱变将精氨酸-107替换为丙氨酸,可显著提高结合GSH的pK(a)值,并改变底物结合方式。Y107A突变酶显示出一种GSH结合机制和速率常数,接近α、μ和π同工酶。对所有这些谷胱甘肽转移酶的现有晶体学数据进行比较,揭示了在灵活性方面出乎意料的进化趋势,这为理解我们的实验结果提供了基础。