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利用CDR3区域的人工体内多样化探索TCR特异性

Probing TCR Specificity Using Artificial In Vivo Diversification of CDR3 Regions.

作者信息

Giorgetti Orlando B, Haas-Assenbaum Annette, Boehm Thomas

机构信息

Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.

Institute for Immunodeficiency, Center for Chronic Immunodeficiency, University Medical Center, Freiburg, Germany.

出版信息

Eur J Immunol. 2025 Jan;55(1):e202451434. doi: 10.1002/eji.202451434. Epub 2024 Dec 2.

Abstract

The T-cell receptor sequences expressed on cells recognizing a specific peptide in the context of a given MHC molecule can be explored for common features that might explain their antigen specificity. However, despite the development of numerous experimental and bioinformatic strategies, the specificity problem remains unresolved. To address the need for additional experimental paradigms, we report here on an in vivo experimental strategy designed to artificially diversify a transgenic TCR by CRISPR/Cas9-mediated mutagenesis of Tcra and Tcrb chain genes. In this system, an initially monoclonal repertoire of known specificity is converted into an oligoclonal pool of TCRs of altered antigen reactivity. Tracking the fate of individual clonotypes during the intrathymic differentiation process illuminates the strong selective pressures that shape the repertoire of naïve T cells. Sequence analyses of the artificially diversified repertoires identify key amino acid residues in the CDR3 regions required for antigen recognition, indicating that artificial diversification of well-characterized TCR transgene sequences helps to reduce the complexities of learning the rules of antigen recognition.

摘要

可以探索在给定MHC分子背景下识别特定肽的细胞上表达的T细胞受体序列,以寻找可能解释其抗原特异性的共同特征。然而,尽管已经开发了许多实验和生物信息学策略,但特异性问题仍未解决。为了满足对额外实验范式的需求,我们在此报告一种体内实验策略,该策略旨在通过CRISPR/Cas9介导的Tcra和Tcrb链基因诱变来人为地使转基因TCR多样化。在这个系统中,最初具有已知特异性的单克隆库被转化为具有改变的抗原反应性的TCR寡克隆库。追踪个体克隆型在胸腺内分化过程中的命运,揭示了塑造幼稚T细胞库的强大选择压力。对人工多样化库的序列分析确定了抗原识别所需的CDR3区域中的关键氨基酸残基,表明对特征明确的TCR转基因序列进行人工多样化有助于降低学习抗原识别规则的复杂性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba34/11739678/12f66bba5920/EJI-55-e202451434-g004.jpg

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