Gui Yuhan, Hou Rui, Huang Yuchen, Zhou Yu, Liu Shihao, Meng Ling, Li Ying, Sang Lam Fong, Ding Ruoyun, Cao Yan, Li Gang, Lu Xiaojie, Li Xiaoyu
Department of Chemistry and State Key Laboratory of Synthetic Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.
Laboratory for Synthetic Chemistry and Chemical Biology Limited, Health@InnoHK, Innovation and Technology Commission, Units, 1503-1511, 15/F., Building 17 W, Hong Kong SAR, China.
Angew Chem Int Ed Engl. 2025 Mar 3;64(10):e202421172. doi: 10.1002/anie.202421172. Epub 2025 Jan 17.
Small molecules that can bind to specific cells have broad application in cancer diagnosis and treatment. Screening large chemical libraries against live cells is an effective strategy for discovering cell-targeting ligands. The DNA-encoded chemical library (DEL or DECL) technology has emerged as a robust tool in drug discovery and has been successfully utilized in identifying ligands for biological targets. However, nearly all DEL selections have predefined targets, while target-agnostic DEL selections interrogating the entire cell surface remain underexplored. Herein, we systematically optimized a cell-based DEL selection method against cancer cells without predefined targets. A 104.96-million-member DEL was selected against MDA-MB-231 and MCF-7 breast cancer cells, representing high and low metastatic properties, respectively, which led to the identification of cell-specific small molecules. We further demonstrated cell-targeting applications of these ligands in cancer photodynamic therapy and targeted drug delivery. Finally, leveraging the DNA tag of DEL compounds, we identified α-enolase (ENO1) as the cell surface receptor of one of the ligands targeting the more aggressive MDA-MB-231 cells. Overall, this work offers an efficient approach for discovering cell-targeting small molecule ligands by using DELs and demonstrates that DELs can be a useful tool to identify specific surface receptors on cancer cells.
能够与特定细胞结合的小分子在癌症诊断和治疗中具有广泛应用。针对活细胞筛选大型化学文库是发现细胞靶向配体的有效策略。DNA编码化学文库(DEL或DECL)技术已成为药物发现中的强大工具,并已成功用于鉴定生物靶标的配体。然而,几乎所有的DEL筛选都有预定义的靶点,而对整个细胞表面进行无靶点的DEL筛选仍未得到充分探索。在此,我们系统地优化了一种针对癌细胞的无预定义靶点的基于细胞的DEL筛选方法。针对分别代表高转移特性和低转移特性的MDA-MB-231和MCF-7乳腺癌细胞筛选了一个包含1.0496亿个成员的DEL,从而鉴定出细胞特异性小分子。我们进一步展示了这些配体在癌症光动力疗法和靶向药物递送中的细胞靶向应用。最后,利用DEL化合物的DNA标签,我们鉴定出α-烯醇化酶(ENO1)是靶向侵袭性更强的MDA-MB-231细胞的一种配体的细胞表面受体。总体而言,这项工作提供了一种利用DEL发现细胞靶向小分子配体的有效方法,并证明DEL可以成为鉴定癌细胞上特定表面受体的有用工具。