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ELISPOT 技术无偏高通量鉴定 T 细胞表位

Unbiased, High-Throughput Identification of T Cell Epitopes by ELISPOT.

机构信息

Research & Development Department, Cellular Technology Limited, Shaker Heights, OH, USA.

出版信息

Methods Mol Biol. 2023;2673:69-88. doi: 10.1007/978-1-0716-3239-0_5.

Abstract

Recent systematic immune monitoring efforts suggest that, in humans, epitope recognition by T cells is far more complex than has been assumed based on minimalistic murine models. The increased complexity is due to the higher number of HLA loci in humans, the typical heterozygosity for these loci in the outbred population, and the high number of peptides that each HLA restriction element can bind with an affinity that suffices for antigen presentation. The sizable array of potential epitopes on any given antigen is due to each individual's unique HLA allele makeup. Of this individualized potential epitope space, chance events occurring in the course of the T cell response determine which epitopes induce dominant T cell expansions. Establishing the actually-engaged T cell repertoire in each human subject, including the individualized peptides targeted, therefore requires the systematic testing of all peptides that constitute the potential epitope space in that person. The goal of comprehensive, high-throughput epitope mapping can be readily established by the methods described in this chapter.

摘要

最近的系统免疫监测研究表明,在人类中,T 细胞对表位的识别远比基于简化的鼠模型所假设的复杂得多。这种复杂性增加的原因是人类 HLA 基因座数量较多,杂合性在群体中较为常见,以及每个 HLA 限制元件可以结合具有足够用于抗原呈递的亲和力的肽的数量较多。任何给定抗原上的大量潜在表位是由于每个人独特的 HLA 等位基因组成。在这个个体化的潜在表位空间中,T 细胞反应过程中发生的偶然事件决定了哪些表位诱导优势 T 细胞扩增。因此,在每个人类受试者中建立实际参与的 T 细胞库,包括针对个体化的肽,需要系统地测试构成该人潜在表位空间的所有肽。本章所述方法可以轻松地确定全面、高通量表位作图的目标。

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