Prakash Amresh, Idrees Danish, Haque Md Anzarul, Islam Asimul, Ahmad Faizan, Hassan Md Imtaiyaz
a Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia , Jamia Nagar, New Delhi 110025 , India.
J Biomol Struct Dyn. 2017 May;35(6):1295-1306. doi: 10.1080/07391102.2016.1179596. Epub 2016 May 20.
Carbonic anhydrase IX (CAIX) is a transmembrane glycoprotein, associated with tumor, acidification which leads to the cancer, and is considered as a potential biomarker for hypoxia-induced cancers. The overexpression of CAIX is linked with hypoxia condition which is mediated by the transcription of hypoxia-induced factor (HIF-1). To understand the biophysical properties of CAIX, we have carried out a reversible isothermal denaturation of CAIX-induced by GdmCl at pH 8.0 and 25°C. Three different spectroscopic probes, the far-UV CD at 222 nm ([θ]), Trp fluorescence emission at 342 nm (F) and difference molar absorption coefficient at 287 nm (Δε) were used to estimate stability parameters, [Formula: see text] (Gibbs free energy change in the absence of GdmCl; C (midpoint of the denaturation curve), i.e. molar GdmCl concentration ([GdmCl]) at which ΔG = 0; and m, the slope (=∂ΔG/∂[GdmCl])). GdmCl induces a reversible denaturation of CAIX. Coincidence of the normalized transition curves of all optical properties suggests that unfolding/refolding of CAIX is a two-state process. We further performed molecular dynamics simulation of CAIX for 40 ns to see the dynamics of protein structure in different GdmCl concentrations. An excellent agreement was observed between in silico and in vitro studies.
碳酸酐酶IX(CAIX)是一种跨膜糖蛋白,与肿瘤及导致癌症的酸化过程相关,被认为是缺氧诱导癌症的潜在生物标志物。CAIX的过表达与由缺氧诱导因子(HIF-1)转录介导的缺氧状态有关。为了解CAIX的生物物理性质,我们在pH 8.0和25°C条件下进行了由盐酸胍(GdmCl)诱导的CAIX可逆等温变性实验。使用三种不同的光谱探针,即222 nm处的远紫外圆二色光谱([θ])、342 nm处的色氨酸荧光发射光谱(F)以及287 nm处的差分摩尔吸收系数(Δε)来估算稳定性参数,[公式:见原文](无GdmCl时的吉布斯自由能变化;C(变性曲线中点),即ΔG = 0时的盐酸胍摩尔浓度([GdmCl]);以及m,斜率(=∂ΔG/∂[GdmCl]))。GdmCl诱导CAIX发生可逆变性。所有光学性质的归一化转变曲线重合表明CAIX的去折叠/再折叠是一个两态过程。我们进一步对CAIX进行了40 ns的分子动力学模拟,以观察不同GdmCl浓度下蛋白质结构的动力学变化。在计算机模拟和体外研究之间观察到了极好的一致性。