Suppr超能文献

源自具有双随机结构域的结构化文库的新冠病毒刺突蛋白二聚体DNA适配体

Dimeric DNA Aptamers for the Spike Protein of SARS-CoV-2 Derived from a Structured Library with Dual Random Domains.

作者信息

Amini Ryan, Ma Jian, Zhang Zijie, Wang Qing, Gu Jimmy, Soleymani Leyla, Li Yingfu

机构信息

Department of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.

Department of Engineering Physics, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.

出版信息

Small Methods. 2024 Dec 20:e2401600. doi: 10.1002/smtd.202401600.

Abstract

Multimeric aptamer strategies are often adopted to improve the binding affinity of an aptamer toward its target molecules. In most cases, multimeric aptamers are constructed by connecting pre-identified monomeric aptamers derived from in vitro selection. Although multimerization provides an added benefit of enhanced binding avidity, the characterization of different aptamer pairings adds more steps to an already lengthy procedure. Therefore, an aptamer engineering strategy that directly selects for multimeric aptamers is highly desirable. Here, an in vitro selection strategy is reported on using a pre-structured DNA library that forms dimeric aptamers. Rather than using a library containing a single random region, which is nearly ubiquitous in existing aptamer selections, the library contains two random regions separated by a flexible poly-thymidine linker. Following sixteen rounds of selection against the SARS-CoV-2 spike protein, a relevant model target protein due to the COVID-19 pandemic, the top aptamers displayed superb affinity with K values as low as 150 pM. Further analysis reveals that each random region functions as a distinct binding moiety and works together to achieve higher affinity. The demonstrated strategy provides an accelerated method to obtain high-affinity aptamers, which may prove useful in future aptamer diagnostic and therapeutic applications.

摘要

多聚适配体策略经常被采用以提高适配体对其靶分子的结合亲和力。在大多数情况下,多聚适配体是通过连接从体外筛选获得的预先鉴定的单体适配体构建而成。尽管多聚化提供了增强结合亲和力的额外优势,但不同适配体配对的表征给本就冗长的过程增加了更多步骤。因此,非常需要一种直接筛选多聚适配体的适配体工程策略。在此,报道了一种使用形成二聚体适配体的预构建DNA文库的体外筛选策略。该文库包含两个由柔性聚胸腺嘧啶连接子分隔的随机区域,而不是使用在现有适配体筛选中几乎无处不在的含有单个随机区域的文库。针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)刺突蛋白进行了16轮筛选,该蛋白是由2019冠状病毒病(COVID-19)大流行产生的相关模型靶蛋白,筛选出的顶级适配体表现出极高的亲和力,解离常数(K值)低至150皮摩尔。进一步分析表明,每个随机区域都作为一个独特的结合部分发挥作用,并共同作用以实现更高的亲和力。所展示的策略提供了一种加速获得高亲和力适配体的方法,这在未来的适配体诊断和治疗应用中可能会被证明是有用的。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验