School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, Guangdong 510006, China.
Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong 510080, China.
J Am Chem Soc. 2023 Mar 8;145(9):5447-5455. doi: 10.1021/jacs.2c13825. Epub 2023 Feb 22.
Surface proteins of cells are generally recognized through receptor-ligand interactions (RLIs) in disease diagnosis, but their nonuniform spatial distribution and higher-order structure lead to low binding affinity. Constructing nanotopologies that match the spatial distribution of membrane proteins to improve the binding affinity remains a challenge. Inspired by the multiantigen recognition of immune synapses, we developed modular DNA-origami-based nanoarrays with multivalent aptamers. By adjusting the valency and interspacing of the aptamers, we constructed specific nanotopology to match the spatial distribution of target protein clusters and avoid potential steric hindrance. We found that the nanoarrays significantly enhanced the binding affinity of target cells and synergistically recognized low-affinity antigen-specific cells. In addition, DNA nanoarrays used for the clinical detection of circulating tumor cells successfully verified their precise recognition ability and high-affinity RLIs. Such nanoarrays will further promote the potential application of DNA materials in clinical detection and even cell membrane engineering.
细胞表面蛋白通常通过受体-配体相互作用(RLIs)在疾病诊断中被识别,但它们不均匀的空间分布和高级结构导致结合亲和力较低。构建与膜蛋白空间分布相匹配的纳米拓扑结构以提高结合亲和力仍然是一个挑战。受免疫突触多抗原识别的启发,我们开发了基于模块化 DNA 折纸的具有多价适体的纳米阵列。通过调整适体的价数和间隔,我们构建了特定的纳米拓扑结构来匹配靶蛋白簇的空间分布并避免潜在的空间位阻。我们发现纳米阵列显著增强了靶细胞的结合亲和力,并协同识别低亲和力抗原特异性细胞。此外,用于检测循环肿瘤细胞的 DNA 纳米阵列成功验证了它们精确识别能力和高亲和力 RLIs。这种纳米阵列将进一步推动 DNA 材料在临床检测甚至细胞膜工程中的潜在应用。