Huisman Brooke D, Grace Beth E, Holec Patrick V, Birnbaum Michael E
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Methods Mol Biol. 2022;2491:263-291. doi: 10.1007/978-1-0716-2285-8_15.
T cells detect peptide antigens presented by major histocompatibility complex (MHC) proteins via their T cell receptor (TCR). The sequence diversity of possible antigens, with trillions of potential peptide-MHC targets, makes it challenging to study, characterize, and manipulate the peptide repertoire of a given TCR. Yeast display has been utilized to study the interactions between peptide-MHCs and T cell receptors to facilitate high-throughput screening of peptide-MHC libraries. Here we present insights on designing and validating a peptide-MHC yeast display construct, designing and constructing peptide libraries, conducting selections, and preparing, processing, and analyzing peptide library sequencing data. Applications for this approach are broad, including characterizing peptide-MHC recognition profiles for a TCR, screening for high-affinity mimotopes of known TCR-binding peptides, and identifying natural ligands of TCRs from expanded T cells.
T细胞通过其T细胞受体(TCR)检测由主要组织相容性复合体(MHC)蛋白呈递的肽抗原。可能的抗原具有序列多样性,存在数万亿种潜在的肽-MHC靶点,这使得研究、表征和操纵给定TCR的肽库具有挑战性。酵母展示已被用于研究肽-MHC与T细胞受体之间的相互作用,以促进肽-MHC文库的高通量筛选。在此,我们介绍了有关设计和验证肽-MHC酵母展示构建体、设计和构建肽库、进行筛选以及准备、处理和分析肽库测序数据的见解。这种方法的应用广泛,包括表征TCR的肽-MHC识别谱、筛选已知TCR结合肽的高亲和力模拟表位,以及从扩增的T细胞中鉴定TCR的天然配体。