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Automatic Generation of Validated Specific Epitope Sets

机译:自动生成经过验证的特定表位集

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摘要

Accurate measurement of B and T cell responses is a valuable tool to study autoimmunity, allergies, immunity to pathogens, and host-pathogen interactions and assist in the design and evaluation of T cell vaccines and immunotherapies. In this context, it is desirable to elucidate a method to select validated reference sets of epitopes to allow detection of T and B cells. However, the ever-growing information contained in the Immune Epitope Database (IEDB) and the differences in quality and subjects studied between epitope assays make this task complicated. In this study, we develop a novel method to automatically select reference epitope sets according to a categorization system employed by the IEDB. From the sets generated, three epitope sets (EBV, mycobacteria and dengue) were experimentally validated by detection of T cell reactivity ex vivo from human donors. Furthermore, a web application that will potentially be implemented in the IEDB was created to allow users the capacity to generate customized epitope sets.
机译:准确测量B和T细胞反应是研究自身免疫性,变态反应,对病原体的免疫力以及宿主与病原体相互作用的宝贵工具,并有助于T细胞疫苗和免疫疗法的设计和评估。在这种情况下,希望阐明一种方法,以选择经验证的表位参考集以检测T细胞和B细胞。但是,免疫表位数据库(IEDB)中包含的信息不断增长,以及表位分析之间质量和研究对象的差异,使这项任务变得复杂。在这项研究中,我们开发了一种新方法,可以根据IEDB所采用的分类系统自动选择参考表位集。从产生的集合中,通过检测来自人类供体的离体T细胞反应性,通过实验验证了三个表位集合(EBV,分枝杆菌和登革热)。此外,还创建了一个可能在IEDB中实现的Web应用程序,以使用户能够生成定制的表位集。

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