利用深度突变表位图谱和 AlphaFold 解密 LAMP-1 抗体的跨物种反应性。

IF 8.3 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Tiphanie Pruvost, Magali Mathieu, Steven Dubois, Bernard Maillère, Emmanuelle Vigne, Hervé Nozach
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引用次数: 0

摘要

确定抗体靶向抗原的精确区域已成为开发抗体疗法的关键步骤。X 射线晶体学和低温电子显微镜被认为是以原子分辨率提供这些结合位点精确信息的黄金标准。然而,这两种方法耗费大量人力物力,而且不能保证成功。我们对显示在酵母表面的人类 LAMP-1 抗原进行了深度突变扫描(DMS),并利用下一代测序技术观察了单个突变体对两种 LAMP-1 抗体结合的影响,并确定了它们在 LAMP-1 上的功能表位。通过DMS方法绘制的微调表位图通过实验抗原结构知识得到了加强。由于人类 LAMP-1 的结构尚未解决,我们使用全长蛋白质的 AlphaFold 预测结构与 DMS 数据相结合,最终精细绘制出抗体表位图。通过将结果与带有 LAMP-1 管腔结构域的两种抗体之一的共晶体结构进行比较,证实了这种方法的准确性。最后,我们使用非人类 LAMP-1 的 AlphaFold 模型来了解缺乏 mAb 交叉反应的情况。与人类LAMP-1相比,鼠类LAMP-1的两个表位都有多个突变,而猕猴LAMP-1只有一个和两个突变,这两个突变分别阻碍了mAb B和A的识别。总之,这项研究促进了 AlphaFold 的新应用,加快了抗体-抗原相互作用的精确制图,从而加速了抗体工程的优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Deciphering cross-species reactivity of LAMP-1 antibodies using deep mutational epitope mapping and AlphaFold.

Deciphering cross-species reactivity of LAMP-1 antibodies using deep mutational epitope mapping and AlphaFold.

Deciphering cross-species reactivity of LAMP-1 antibodies using deep mutational epitope mapping and AlphaFold.

Deciphering cross-species reactivity of LAMP-1 antibodies using deep mutational epitope mapping and AlphaFold.

Delineating the precise regions on an antigen that are targeted by antibodies has become a key step for the development of antibody therapeutics. X-ray crystallography and cryogenic electron microscopy are considered the gold standard for providing precise information about these binding sites at atomic resolution. However, they are labor-intensive and a successful outcome is not guaranteed. We used deep mutational scanning (DMS) of the human LAMP-1 antigen displayed on yeast surface and leveraged next-generation sequencing to observe the effect of individual mutants on the binding of two LAMP-1 antibodies and to determine their functional epitopes on LAMP-1. Fine-tuned epitope mapping by DMS approaches is augmented by knowledge of experimental antigen structure. As human LAMP-1 structure has not yet been solved, we used the AlphaFold predicted structure of the full-length protein to combine with DMS data and ultimately finely map antibody epitopes. The accuracy of this method was confirmed by comparing the results to the co-crystal structure of one of the two antibodies with a LAMP-1 luminal domain. Finally, we used AlphaFold models of non-human LAMP-1 to understand the lack of mAb cross-reactivity. While both epitopes in the murine form exhibit multiple mutations in comparison to human LAMP-1, only one and two mutations in the Macaca form suffice to hinder the recognition by mAb B and A, respectively. Altogether, this study promotes a new application of AlphaFold to speed up precision mapping of antibody-antigen interactions and consequently accelerate antibody engineering for optimization.

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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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