Oliveira Adriane Silva, Aredes-Riguetti Lara Mata, Pereira Bernardo Acácio Santini, Alves Carlos Roberto, Souza-Silva Franklin
Laboratório de Biologia Molecular e Doenças Endêmicas, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Manguinhos, Rio de Janeiro 21040-360, RJ, Brazil.
Departamento de Patologia, Faculdade de Medicina, Universidade Federal Fluminense, Niterói 24033-900, RJ, Brazil.
Vaccines (Basel). 2023 May 23;11(6):1015. doi: 10.3390/vaccines11061015.
Degrons are short peptide sequences that signalize target sites for protein degradation by proteases. Herein, we bring forth the discussion on degrons present in proteins related to the immune system of that are potential targets for cysteine and serine proteases of spp. and their possible roles on host immune regulation by parasites. The Merops database was used to identify protease substrates and proteases sequence motifs, while MAST/MEME Suite was applied to find degron motifs in murine cytokines (IFN-y, IL-4, IL-5, IL-13, IL-17) and transcription factors (NF-kappaB, STAT-1, AP-1, CREB, and BACH2). STRING tool was used to construct an interaction network for the immune factors and SWISS-MODEL server to generate three-dimensional models of proteins. In silico assays confirm the occurrence of degrons in the selected immune response factors. Further analyses were conducted only in those with resolved three-dimensional structures. The predicted interaction network of degron-containing proteins shows the possibility that the specific activity of parasite proteases could interfere with the trend of Th1/Th2 immune responses. Data suggest that degrons may play a role in the immune responses in leishmaniases as targets for parasite proteases activity, directing the degradation of specific immune-related factors.
降解子是短肽序列,可标记蛋白酶进行蛋白质降解的靶位点。在此,我们展开关于存在于与免疫系统相关蛋白质中的降解子的讨论,这些蛋白质是锥虫属物种半胱氨酸和丝氨酸蛋白酶的潜在靶标,以及它们在寄生虫对宿主免疫调节中的可能作用。利用Merops数据库识别蛋白酶底物和蛋白酶序列基序,同时应用MAST/MEME Suite在小鼠细胞因子(IFN-γ、IL-4、IL-5、IL-13、IL-17)和转录因子(NF-κB、STAT-1、AP-1、CREB和BACH2)中寻找降解子基序。使用STRING工具构建免疫因子的相互作用网络,并使用SWISS-MODEL服务器生成蛋白质的三维模型。计算机分析证实了所选免疫反应因子中存在降解子。仅对那些具有解析三维结构的因子进行了进一步分析。预测的含降解子蛋白质的相互作用网络表明,寄生虫蛋白酶的特定活性可能干扰Th1/Th2免疫反应趋势。数据表明,降解子可能在利什曼病的免疫反应中作为寄生虫蛋白酶活性的靶标发挥作用,指导特定免疫相关因子的降解。