Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, P. R. China.
School of Chemistry and Chemical Engineering, Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Angew Chem Int Ed Engl. 2022 Jul 11;61(28):e202203800. doi: 10.1002/anie.202203800. Epub 2022 May 19.
Developing strategies to enhance the recognition ability of immune cells is important to the success of cell-based cancer immunotherapy. Herein, we report programming receptor clustering on membrane with DNA probabilistic circuits for enhanced immune cell recognition. By designing the circuit output to activate receptors for binding to adjacent receptors, we can engineer DNA probabilistic circuits for programmable regulation of receptor clustering. The generated receptor clusters show higher binding affinity to target cancer cells and improved membrane-anchoring stability compared with monomers. We demonstrate that programming receptor clustering could allow to modulate the recognition capability of natural killer cells and control natural killer cell-cancer cell interactions to promote efficient cancer cell killing. This work provides insights for precise control over cellular recognition and opens new opportunities for the development of cell-based immunotherapy.
开发增强免疫细胞识别能力的策略对于基于细胞的癌症免疫疗法的成功至关重要。在此,我们报告了通过 DNA 概率电路在膜上编程受体聚类以增强免疫细胞识别的方法。通过设计电路输出来激活受体以与相邻受体结合,我们可以设计 DNA 概率电路来对受体聚类进行可编程调节。与单体相比,生成的受体簇显示出更高的与靶癌细胞的结合亲和力和改善的膜锚定稳定性。我们证明,编程受体聚类可以调节自然杀伤细胞的识别能力,并控制自然杀伤细胞-癌细胞相互作用以促进有效的癌细胞杀伤。这项工作为精确控制细胞识别提供了思路,并为基于细胞的免疫疗法的发展开辟了新的机会。