Merlos Rodrigo Miguel Angel, Molina-López Jorge, Jimenez Jimenez Ana Maria, Planells Del Pozo Elena, Adam Pavlina, Eckschlager Tomas, Zitka Ondrej, Richtera Lukas, Adam Vojtech
Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic.
Central European Institute of Technology, Brno University of Technology, Purkynova 123, CZ-612 00 Brno, Czech Republic.
Int J Mol Sci. 2017 Mar 11;18(3):610. doi: 10.3390/ijms18030610.
The translation of metallothioneins (MTs) is one of the defense strategies by which organisms protect themselves from metal-induced toxicity. MTs belong to a family of proteins comprising MT-1, MT-2, MT-3, and MT-4 classes, with multiple isoforms within each class. The main aim of this study was to determine the behavior of MT in dependence on various externally modelled environments, using electrochemistry. In our study, the mass distribution of MTs was characterized using MALDI-TOF. After that, adsorptive transfer stripping technique with differential pulse voltammetry was selected for optimization of electrochemical detection of MTs with regard to accumulation time and pH effects. Our results show that utilization of 0.5 M NaCl, pH 6.4, as the supporting electrolyte provides a highly complicated fingerprint, showing a number of non-resolved voltammograms. Hence, we further resolved the voltammograms exhibiting the broad and overlapping signals using curve fitting. The separated signals were assigned to the electrochemical responses of several MT complexes with zinc(II), cadmium(II), and copper(II), respectively. Our results show that electrochemistry could serve as a great tool for metalloproteomic applications to determine the ratio of metal ion bonds within the target protein structure, however, it provides highly complicated signals, which require further resolution using a proper statistical method, such as curve fitting.
金属硫蛋白(MTs)的翻译是生物体保护自身免受金属诱导毒性的防御策略之一。MTs属于一类蛋白质家族,包括MT-1、MT-2、MT-3和MT-4类,每类中都有多种亚型。本研究的主要目的是利用电化学方法确定MT在不同外部模拟环境下的行为。在我们的研究中,使用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF)对MTs的质量分布进行了表征。之后,选择差分脉冲伏安吸附转移溶出技术,针对积累时间和pH效应优化MTs的电化学检测。我们的结果表明,使用0.5 M NaCl、pH 6.4作为支持电解质会产生高度复杂的指纹图谱,显示出许多未解析的伏安图。因此,我们使用曲线拟合进一步解析了显示出宽泛且重叠信号的伏安图。分离出的信号分别归因于几种MT与锌(II)、镉(II)和铜(II)配合物的电化学响应。我们的结果表明,电化学可作为金属蛋白质组学应用中的一种强大工具,用于确定目标蛋白质结构内金属离子键的比例,然而,它会提供高度复杂的信号,需要使用适当的统计方法(如曲线拟合)进一步解析。