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T 细胞表位预测。

T Cell Epitope Predictions.

机构信息

Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California 92037, USA; email:

Department of Medicine, University of California San Diego, La Jolla, California 92093, USA.

出版信息

Annu Rev Immunol. 2020 Apr 26;38:123-145. doi: 10.1146/annurev-immunol-082119-124838. Epub 2020 Feb 11.

Abstract

Throughout the body, T cells monitor MHC-bound ligands expressed on the surface of essentially all cell types. MHC ligands that trigger a T cell immune response are referred to as T cell epitopes. Identifying such epitopes enables tracking, phenotyping, and stimulating T cells involved in immune responses in infectious disease, allergy, autoimmunity, transplantation, and cancer. The specific T cell epitopes recognized in an individual are determined by genetic factors such as the MHC molecules the individual expresses, in parallel to the individual's environmental exposure history. The complexity and importance of T cell epitope mapping have motivated the development of computational approaches that predict what T cell epitopes are likely to be recognized in a given individual or in a broader population. Such predictions guide experimental epitope mapping studies and enable computational analysis of the immunogenic potential of a given protein sequence region.

摘要

在体内,T 细胞监测 MHC 结合配体在基本上所有细胞类型的表面表达。触发 T 细胞免疫反应的 MHC 配体被称为 T 细胞表位。鉴定这些表位可以跟踪、表型分析和刺激参与传染病、过敏、自身免疫、移植和癌症的免疫反应的 T 细胞。个体中识别的特定 T 细胞表位由遗传因素决定,例如个体表达的 MHC 分子,同时还受个体的环境暴露史影响。T 细胞表位作图的复杂性和重要性促使开发了计算方法,这些方法可预测在特定个体或更广泛人群中可能识别哪些 T 细胞表位。这些预测指导实验性表位作图研究,并能够对给定蛋白质序列区域的免疫原性进行计算分析。

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