Faucher Franco F, Blažková Kristýna, Lovell Scott, Bertolini Matilde, Herrero-Bourdieu Juan, Cosco Emily D, Bogyo Matthew, Barniol-Xicota Marta
Department of Chemistry, Stanford University, Stanford, California 94305, United States.
Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, United States.
J Am Chem Soc. 2025 Jul 30;147(30):26307-26318. doi: 10.1021/jacs.5c04424. Epub 2025 Jul 18.
Traditional methods for identifying selective protease substrates have primarily relied on synthetic libraries of linear peptides, which offer limited sequence and structural diversity. Here, we present an approach that leverages phage display technology to screen large libraries of chemically modified cyclic peptides, enabling the identification of highly selective substrates for a protease of interest. Our method uses a reactive chemical linker to cyclize peptides on the phage surface, while simultaneously incorporating an affinity tag and a fluorescent reporter. The affinity tag enables capture of the phage library and subsequent release of phages expressing optimal substrates upon incubation with a protease of interest. The addition of a turn-on fluorescent reporter allows direct quantification of cleavage efficiency throughout each selection round. The resulting identified substrates can then be chemically synthesized, optimized and validated using recombinant enzymes and cells. We demonstrate the utility of this approach using Fibroblast Activation Protein α (FAPα) and the related proline-specific protease, dipeptidyl peptidase-4 (DPP4), as targets. Phage selection and subsequent optimization identified substrates with selectivity for each target that have the potential to serve as valuable tools for applications in basic biology and fluorescence image-guided surgery (FIGS). Overall, our strategy provides a rapid and unbiased platform for effectively discovering highly selective, non-natural protease substrates, overcoming key limitations of existing methods.
传统的鉴定选择性蛋白酶底物的方法主要依赖于线性肽的合成文库,其提供的序列和结构多样性有限。在此,我们提出一种利用噬菌体展示技术筛选化学修饰环肽大文库的方法,从而能够鉴定出针对感兴趣蛋白酶的高选择性底物。我们的方法使用一种反应性化学连接子在噬菌体表面使肽环化,同时并入一个亲和标签和一个荧光报告基团。亲和标签能够捕获噬菌体文库,并在与感兴趣的蛋白酶孵育后释放表达最佳底物的噬菌体。添加开启型荧光报告基团可在每个筛选轮次中直接定量切割效率。然后可以使用重组酶和细胞对所得鉴定出的底物进行化学合成、优化和验证。我们以成纤维细胞激活蛋白α(FAPα)和相关的脯氨酸特异性蛋白酶二肽基肽酶 - 4(DPP4)为靶点,证明了该方法的实用性。噬菌体筛选及随后的优化鉴定出了对每个靶点具有选择性的底物,这些底物有潜力作为基础生物学和荧光图像引导手术(FIGS)应用中的有价值工具。总体而言,我们的策略提供了一个快速且无偏差的平台,用于有效发现高选择性的非天然蛋白酶底物,克服了现有方法的关键局限性。