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T 细胞受体为基础的治疗药物的开发和优化中的亲和力和特异性的交集。

The intersection of affinity and specificity in the development and optimization of T cell receptor based therapeutics.

机构信息

Department of Chemistry and Biochemistry and the Harper Cancer Research Institute, University of Notre Dame, 251 Nieuwland Science Hall, Notre Dame, IN 46556 USA.

Department of Chemistry and Biochemistry and the Harper Cancer Research Institute, University of Notre Dame, 251 Nieuwland Science Hall, Notre Dame, IN 46556 USA.

出版信息

Semin Cell Dev Biol. 2018 Dec;84:30-41. doi: 10.1016/j.semcdb.2017.10.017.

Abstract

The role of the αβ T cell receptor (TCR) in identifying immunological targets and signaling appropriate responses provides for exciting translational opportunities. Yet TCRs mediate one of the most complex protein-protein interactions in biology, with intricate signaling and selection mechanisms adding additional layers of sophistication. In this review, we discuss how these complexities influence the development and optimization of TCR-based therapeutics, focusing on the intersection between structure, affinity, and specificity. We highlight similarities between TCRs and germline antibodies in molecular recognition, but emphasize that engineering TCRs by mimicking antibody maturation may not translate into improved biological outcomes. A key point is the need to distinguish TCR biochemical recognition from T cell functional recognition and the complications this distinction has for efforts in TCR engineering. We suggest learning from natural immunity and taking advantage of structural features and state-of-the-art protein design principles as a means to optimize TCRs for therapeutic use.

摘要

αβ T 细胞受体 (TCR) 在识别免疫靶标和发出适当反应信号方面的作用提供了令人兴奋的转化机会。然而,TCR 介导了生物学中最复杂的蛋白质-蛋白质相互作用之一,其复杂的信号转导和选择机制增加了更多的复杂性。在这篇综述中,我们讨论了这些复杂性如何影响基于 TCR 的治疗药物的开发和优化,重点关注结构、亲和力和特异性之间的交叉。我们强调了 TCR 与原始抗体在分子识别方面的相似性,但强调通过模拟抗体成熟来设计 TCR 可能不会转化为改善的生物学结果。关键点是需要区分 TCR 的生化识别与 T 细胞的功能识别,以及这种区分对 TCR 工程努力的复杂性。我们建议从天然免疫中学习,并利用结构特征和最先进的蛋白质设计原则,作为优化 TCR 用于治疗用途的手段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05d9/9026737/b48829bf4765/nihms-1796698-f0001.jpg

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