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经过验证的特定表位集的自动生成

Automatic Generation of Validated Specific Epitope Sets.

作者信息

Carrasco Pro Sebastian, Sidney John, Paul Sinu, Lindestam Arlehamn Cecilia, Weiskopf Daniela, Peters Bjoern, Sette Alessandro

机构信息

Laboratorio de Bioinformática y Biología Molecular, Laboratorios de Investigación y Desarrollo, Universidad Peruana Cayetano Heredia, Lima, Peru ; Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA.

Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA.

出版信息

J Immunol Res. 2015;2015:763461. doi: 10.1155/2015/763461. Epub 2015 Oct 19.

Abstract

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.

摘要

准确测量B细胞和T细胞反应是研究自身免疫、过敏、对病原体的免疫以及宿主-病原体相互作用的宝贵工具,有助于T细胞疫苗和免疫疗法的设计与评估。在此背景下,需要阐明一种方法来选择经过验证的表位参考集,以检测T细胞和B细胞。然而,免疫表位数据库(IEDB)中不断增长的信息以及表位检测之间研究质量和对象的差异,使得这项任务变得复杂。在本研究中,我们开发了一种新方法,根据IEDB采用的分类系统自动选择参考表位集。从生成的集合中,通过检测人类供体的体外T细胞反应性,对三个表位集(EB病毒、分枝杆菌和登革热)进行了实验验证。此外,还创建了一个可能会在IEDB中实施的网络应用程序,以便用户能够生成定制的表位集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fe4/4629045/c3fcbb2200bd/JIR2015-763461.001.jpg

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