Kawai-Harada Yuki, Mardikoraem Mehrsa, Makela Ashley V, Lauro Katherine, Lam Jeannie, Contag Christopher H, Woldring Daniel, Harada Masako
Institute for Quantitative Health Science and Engineering (IQ), Division of Chemical Biology, Michigan State University.
Department of Biomedical Engineering, Michigan State University.
bioRxiv. 2025 Jun 7:2025.06.04.657858. doi: 10.1101/2025.06.04.657858.
The development of technologies for screening proteins that bind to specific tissues in vivo and facilitate delivery of large cargos remains challenging, with most approaches limited to cell culture systems that often yield clinically irrelevant hits. To overcome this limitation, we developed a novel molecular screening platform using an extracellular vesicle (EV) display library. EVs are natural molecular carriers capable of delivering diverse cargos, which can be engineered to enhance specificity and targeting through surface modifications. We constructed an EV-display library presenting monobody repertoires on EV surfaces, with genetic cargo inside the EVs corresponding to the displayed proteins. These libraries were screened for tissue specific delivery through serial passage in mice via sequential intravenous administration in and recovery of tissue-selected EVs and amplification of their encapsulated monobody genes at each passage. Our results demonstrated successful selection of tissue-specific targeting proteins, as revealed by fluorescence and bioluminescence imaging followed by DNA sequencing. To understand the stochastic relationship between displayed proteins and packaged genes, we developed a Markov chain model that quantified selection dynamics and predicted enrichment patterns despite the imperfect correlation between phenotype and genotype. This EV-based monobody screening approach, combined with mathematical modeling, is a significant advancement in targeted drug delivery by leveraging the natural capabilities of EVs with the selection of targeting proteins in a physiologically relevant environment.
开发能够在体内筛选与特定组织结合并促进大分子货物递送的蛋白质技术仍然具有挑战性,大多数方法仅限于细胞培养系统,而这些系统往往产生与临床无关的结果。为了克服这一限制,我们开发了一种使用细胞外囊泡(EV)展示文库的新型分子筛选平台。EV是能够递送多种货物的天然分子载体,可以通过表面修饰进行工程改造以增强特异性和靶向性。我们构建了一个EV展示文库,在EV表面展示单域抗体文库,EV内部的遗传货物与展示的蛋白质相对应。通过在小鼠中连续传代筛选这些文库,方法是依次静脉注射并回收组织选择的EV,并在每次传代时扩增其包裹的单域抗体基因,以实现组织特异性递送。我们的结果表明成功选择了组织特异性靶向蛋白,荧光和生物发光成像以及随后的DNA测序证实了这一点。为了理解展示的蛋白质与包装基因之间的随机关系,我们开发了一个马尔可夫链模型,该模型量化了选择动态并预测了富集模式,尽管表型与基因型之间存在不完全相关性。这种基于EV的单域抗体筛选方法与数学建模相结合,通过利用EV的天然能力并在生理相关环境中选择靶向蛋白,在靶向药物递送方面取得了重大进展。