A High-Throughput Platform for Rapid Adaptation of DNA Aptamers to SARS-CoV-2 Evolution

screening to rapidly reprogram aptamers against emerging SARS-CoV-2 spike variants. Interactions between 3 different spike proteins and 11,806 unique aptamer variant designs were profiled within a few days. Starting from a 40-nt aptamer originally selected against wild-type (WT) spike protein, our screen identified a Delta-binding mutant with a 4-fold affinity improvement and an Omicron-binding mutant that converted undetectable binding into nanomolar affinity. We also identified a WT-selective mutant with substantially reduced affinity for Delta, as well as previously unrecognized bases that critically contribute to spike recognition. Integrating high-throughput binding data with molecular dynamics simulations further revealed sequence-dependent structural features underlying variant-specific aptamer-spike interactions. Finally, we developed a sensor based on the identified WT-selective aptamer mutant, enabling highly specific detection of the WT spike protein with robust performance. Together, this work establishes a rapid and adaptable aptamer engineering platform for rapid adaptation of aptamers to evolving pathogens in future pandemics.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-04-22
DOI
https://doi.org/10.64898/2026.04.21.719937
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A High-Throughput Platform for Rapid Adaptation of DNA Aptamers to SARS-CoV-2 Evolution

Saeed Seifi, Soonwoo Hong, Yu-An Kuo, S H Kim et al.
bioRxiv (Cold Spring Harbor Laboratory)
Advanced biosensing and bioanalysis techniques
article

A High-Throughput Platform for Rapid Adaptation of DNA Aptamers to SARS-CoV-2 Evolution

Saeed Seifi, Soonwoo Hong, Yu-An Kuo, S H Kim, Yujie He, Yanxing Wang, Yinong Chen, Anh-Thu Nguyen, Pengyu Ren, Yuting Wu, Wei-Ru Chen, Yi Lu, Trung Duc Nguyen, Diego Fonseca-Albert, Kyle K Le, Zhenglin Yang, Yuan-I Chen, Jeffrey G Guo, Hsin-Chih Yeh
article en

Abstract

screening to rapidly reprogram aptamers against emerging SARS-CoV-2 spike variants. Interactions between 3 different spike proteins and 11,806 unique aptamer variant designs were profiled within a few days. Starting from a 40-nt aptamer originally selected against wild-type (WT) spike protein, our screen identified a Delta-binding mutant with a 4-fold affinity improvement and an Omicron-binding mutant that converted undetectable binding into nanomolar affinity. We also identified a WT-selective mutant with substantially reduced affinity for Delta, as well as previously unrecognized bases that critically contribute to spike recognition. Integrating high-throughput binding data with molecular dynamics simulations further revealed sequence-dependent structural features underlying variant-specific aptamer-spike interactions. Finally, we developed a sensor based on the identified WT-selective aptamer mutant, enabling highly specific detection of the WT spike protein with robust performance. Together, this work establishes a rapid and adaptable aptamer engineering platform for rapid adaptation of aptamers to evolving pathogens in future pandemics.

bioRxiv (Cold Spring Harbor Laboratory)
Johns Hopkins University (US), The University of Texas at Austin (US)
National Science Foundation, Cancer Prevention and Research Institute of Texas
Good health and well-being
Openalex Percentile: Top 18%
Advanced biosensing and bioanalysis techniques
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