Zhang Yaqing, Jiang Yuan, Kuster David, Ye Qiwei, Huang Wenhao, Fürbacher Simon, Zhang Jingye, Doll Pia, Lin Wenjun, Dong Siwei, Wang Hui, Tang Zhipeng, Ibberson David, Wild Klemens, Sinning Irmgard, Hyman Anthony A, Jäschke Andres
Institute of Pharmacy and Molecular Biotechnology (IPMB), Heidelberg University, Heidelberg, Germany.
Beijing Academy of Artificial Intelligence (BAAI), Beijing, China.
Nat Chem Biol. 2025 Mar 31. doi: 10.1038/s41589-025-01868-6.
Aptamers, nucleic acid ligands targeting specific molecules, have emerged as drug candidates, sensors, imaging tools and nanotechnology building blocks. The predominant method for their discovery, systematic evolution of ligands by exponential enrichment, while successful, is laborious, time-consuming and often results in candidates enriched for unintended criteria. Here we present UltraSelex, a noniterative method that combines biochemical partitioning, high-throughput sequencing and computational signal-to-background rank modeling for discovering RNA aptamers in about 1 day. UltraSelex identified high-affinity RNA aptamers capable of binding a fluorogenic silicon rhodamine dye and two protein targets, the SARS-CoV-2 RNA-dependent RNA polymerase and HIV reverse transcriptase, enabling live-cell RNA imaging and efficient enzyme inhibition, respectively. From the ranked sequences, minimal aptamer motifs could be easily inferred. UltraSelex provides a rapid route to reveal new drug candidates and diagnostic tools.
适体,即靶向特定分子的核酸配体,已成为候选药物、传感器、成像工具和纳米技术构建模块。其主要发现方法——指数富集配体系统进化技术(SELEX)虽取得了成功,但操作繁琐、耗时且往往导致筛选出的候选物因意外标准而富集。在此,我们介绍了UltraSelex,这是一种非迭代方法,它结合了生化分配、高通量测序和计算信号背景排名建模,可在约1天内发现RNA适体。UltraSelex鉴定出了能够结合荧光硅罗丹明染料以及两种蛋白质靶点(严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的RNA依赖性RNA聚合酶和HIV逆转录酶)的高亲和力RNA适体,分别实现了活细胞RNA成像和高效的酶抑制。从排序后的序列中,可以轻松推断出最小适体基序。UltraSelex为发现新的候选药物和诊断工具提供了一条快速途径。