| First Authors | Yaqing Zhang |
|---|---|
| Authors | Yaqing Zhang, Yuan Jiang, David Kuster, Qiwei Ye, Wenhao Huang, Simon Fürbacher, Jingye Zhang, Pia Doll, Wenjun Lin, Siwei Dong, Hui Wang, Zhipeng Tang, David Ibberson, Klemens Wild, Irmgard Sinning, Anthony Hyman, Andres Jäschke |
| Corresponding Authors | Yaqing Zhang, Andres Jäschke |
| Last Authors | Andres Jäschke |
| Journal Name | Nature chemical biology (Nat Chem Biol) |
| Volume | 21 |
| Issue | 7 |
| Page Range | 1118-1126 |
| Open Access | false |
| Print Publication Date | 2025-07-01 |
| Online Publication Date | 2025-03-31 |
| Abstract | 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. |
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| Affiliated With | Hyman |
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| Publication Status | Published |
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| DOI | 10.1038/s41589-025-01868-6 |
| PubMed ID | 40164941 |
| WebOfScience Link | WOS:001455389900001 (early) |
| Alternative Full Text URL | https://www.researchsquare.com/article/rs-2713959/v1 |
| Display Publisher Download Only | false |
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| Created By | thuem |
| Added Date | 2025-04-09 |
| Last Edited By | thuem |
| Last Edited Date | 2025-06-27 11:01:34.075 |
| Library ID | 8945 |
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