Teh-Poot Christian, Dumonteil Eric
Laboratorio de Parasitologia, CIR Dr. Hideyo Noguchi, Universidad Autónoma de Yucatán, Mérida, Yucatan, Mexico.
Department of Tropical Medicine, Vector-Borne and Infectious Disease Research Center, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Methods Mol Biol. 2019;1955:23-34. doi: 10.1007/978-1-4939-9148-8_2.
A large number of studies have demonstrated that Trypanosoma cruzi can be controlled by vaccines in animal models, but the identification of effective vaccine antigens represents one of the most critical steps in vaccine development. Thus, only a limited diversity of parasite antigens has been empirically tested as vaccine candidates. More recently, genome-to-vaccine approaches, based principally on T-cell epitope prediction, have emerged as powerful strategies to accelerate vaccine development. In parallel, the increased availability of extensive genomic information on multiple T. cruzi strains offers a major resource for data mining and antigen identification. We present here some of the key strategies for T. cruzi genome mining for antigen discovery and vaccine development.
大量研究表明，克氏锥虫在动物模型中可通过疫苗进行控制，但确定有效的疫苗抗原是疫苗研发中最关键的步骤之一。因此，作为疫苗候选物进行经验性测试的寄生虫抗原种类有限。最近，主要基于T细胞表位预测的从基因组到疫苗的方法已成为加速疫苗研发的有力策略。同时，多种克氏锥虫菌株广泛基因组信息的可获得性增加，为数据挖掘和抗原鉴定提供了重要资源。我们在此介绍一些用于克氏锥虫基因组挖掘以发现抗原和进行疫苗研发的关键策略。
