Claire H. Woodward, Apala Chaudhuri, Xiaojing Tina Chen, William L. White, K. Christopher Garcia, David Baker, Nikolaos G. Sgourakis
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引用次数: 0
摘要
T细胞受体(TCRs)对I类主要组织相容性复合体(MHC-I)蛋白上的表位肽抗原的识别是免疫监视的基石,导致大量的适应性免疫反应。表征TCR:肽/MHC-I相互作用对于理解免疫识别和开发免疫疗法至关重要,但TCR与肽/MHC-I靶点对接方向的巨大变化给结构建模带来了挑战。核磁共振波谱可以潜在地解决这种模糊性,但TCR:肽/ mhc - 1复合物的大尺寸限制了数据质量。在这里,我们证明了设计的MHC-I蛋白SMART a *02:01,可以在规模上方便地绘制MHC-I:TCR相互作用的解决方案。我们的方法可以与计算建模和结构引导工程相结合,以帮助开发基于tcr的治疗方法。
Solution mapping of MHC-I:TCR interactions using a minimalistic protein system
Recognition of epitopic peptide antigens presented on class I major histocompatibility complex (MHC-I) proteins by T cell receptors (TCRs) forms the cornerstone of immune surveillance, leading to a plethora of adaptive immune responses. Characterization of TCR:peptide/MHC-I interactions is critical for understanding immune recognition, and developing immunotherapies, but the large variation in docking orientations of TCRs on their peptide/MHC-I targets challenges structural modeling. NMR spectroscopy could potentially resolve this ambiguity, but the large size of the TCR:peptide/MHC-I complex limits data quality. Here, we demonstrate that a designed MHC-I protein, SMART A*02:01, enables facile solution mapping of MHC-I:TCR interactions at scale. Our approach can be combined with computational modeling and structure-guided engineering to aid the development of TCR-based therapeutics.
期刊介绍:
The Proceedings of the National Academy of Sciences (PNAS), a peer-reviewed journal of the National Academy of Sciences (NAS), serves as an authoritative source for high-impact, original research across the biological, physical, and social sciences. With a global scope, the journal welcomes submissions from researchers worldwide, making it an inclusive platform for advancing scientific knowledge.