Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic; Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic.
Department of Biomedical and Environmental Analysis, Faculty of Pharmacy, Wroclaw Medical University, Borowska 211, 50-556 Wroclaw, Poland.
Pharmacol Ther. 2018 Mar;183:90-117. doi: 10.1016/j.pharmthera.2017.10.004. Epub 2017 Oct 5.
Metallothioneins (MTs) belong to a group of small cysteine-rich proteins that are ubiquitous throughout all kingdoms. The main function of MTs is scavenging of free radicals and detoxification and homeostating of heavy metals. In humans, 16 genes localized on chromosome 16 have been identified to encode four MT isoforms labelled by numbers (MT-1-MT-4). MT-2, MT-3 and MT-4 proteins are encoded by a single gene. MT-1 comprises many (sub)isoforms. The known active MT-1 genes are MT-1A, -1B, -1E, -1F, -1G, -1H, -1M and -1X. The rest of the MT-1 genes (MT-1C, -1D, -1I, -1J and -1L) are pseudogenes. The expression and localization of individual MT (sub)isoforms and pseudogenes vary at intra-cellular level and in individual tissues. Changes in MT expression are associated with the process of carcinogenesis of various types of human malignancies, or with a more aggressive phenotype and therapeutic resistance. Hence, MT (sub)isoform profiling status could be utilized for diagnostics and therapy of tumour diseases. This review aims on a comprehensive summary of methods for analysis of MTs at (sub)isoforms levels, their expression in single tumour diseases and strategies how this knowledge can be utilized in anticancer therapy.
金属硫蛋白(MTs)属于一组富含半胱氨酸的小蛋白,在所有生物界中普遍存在。MTs 的主要功能是清除自由基、解毒和稳定重金属。在人类中,已经确定 16 个基因定位于染色体 16 上,编码四个 MT 同工型,编号为(MT-1-MT-4)。MT-2、MT-3 和 MT-4 蛋白由单个基因编码。MT-1 由许多(亚)同工型组成。已知的活性 MT-1 基因有 MT-1A、-1B、-1E、-1F、-1G、-1H、-1M 和 -1X。其余的 MT-1 基因(MT-1C、-1D、-1I、-1J 和 -1L)是假基因。单个 MT(亚)同工型和假基因的表达和定位在细胞内水平和个体组织中有所不同。MT 表达的变化与各种人类恶性肿瘤的癌变过程有关,或与更具侵袭性的表型和治疗耐药性有关。因此,MT(亚)同工型谱状态可用于肿瘤疾病的诊断和治疗。本综述旨在全面总结 MTs 在(亚)同工型水平上的分析方法、它们在单一肿瘤疾病中的表达以及如何将这些知识应用于抗癌治疗的策略。