Automated high-throughput selection of DNA aptamers using a common optical next-generation sequencer

Aptamers are conventionally selected via 'Systematic Evolution of Ligands by Exponential Enrichment' (SELEX). However, this process is laborious, time-consuming, and has a relatively low efficacy. In this study, we present a novel automated high-throughput screening platform that augments the conventional selection of DNA aptamers. To this end, the software of an optical next-generation sequencer has been modified to automatically perform fluorescence-based binding assays on the displayed DNA sequences subsequent to sequencing. Utilizing this platform, high-affinity DNA aptamers were identified for the proteins LecA, LecB, and Pseudomonas Exotoxin A (PEA) of Pseudomonas aeruginosa following pre-enrichment by a mere three to five SELEX rounds. Conversely, 12 rounds of conventional SELEX yielded aptamers exhibiting three-fold lower affinity for LecA and PEA, with no aptamers obtained for LecB. Furthermore, we demonstrate that the proposed method is suitable for the study of molecules ranging from small molecules to whole cells. This is evidenced by a mutation assay for a kanamycin-binding aptamer and the monitoring of Escherichia coli binding to aptamers. The present study proposes a high-throughput approach to enhance SELEX, with the potential to provide greater insight into the selection process and to significantly increase efficacy, enabling the selection of aptamers within a week.

Publication Details

Journal
Nucleic Acids Research
Published
2026-02-12
DOI
https://doi.org/10.1093/nar/gkag150
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated high-throughput selection of DNA aptamers using a common optical next-generation sequencer

Nucleic Acids Research
Advanced biosensing and bioanalysis techniques
article

Automated high-throughput selection of DNA aptamers using a common optical next-generation sequencer

article en

Abstract

Aptamers are conventionally selected via 'Systematic Evolution of Ligands by Exponential Enrichment' (SELEX). However, this process is laborious, time-consuming, and has a relatively low efficacy. In this study, we present a novel automated high-throughput screening platform that augments the conventional selection of DNA aptamers. To this end, the software of an optical next-generation sequencer has been modified to automatically perform fluorescence-based binding assays on the displayed DNA sequences subsequent to sequencing. Utilizing this platform, high-affinity DNA aptamers were identified for the proteins LecA, LecB, and Pseudomonas Exotoxin A (PEA) of Pseudomonas aeruginosa following pre-enrichment by a mere three to five SELEX rounds. Conversely, 12 rounds of conventional SELEX yielded aptamers exhibiting three-fold lower affinity for LecA and PEA, with no aptamers obtained for LecB. Furthermore, we demonstrate that the proposed method is suitable for the study of molecules ranging from small molecules to whole cells. This is evidenced by a mutation assay for a kanamycin-binding aptamer and the monitoring of Escherichia coli binding to aptamers. The present study proposes a high-throughput approach to enhance SELEX, with the potential to provide greater insight into the selection process and to significantly increase efficacy, enabling the selection of aptamers within a week.

Nucleic Acids ResearchVol. 54(5)
Joachim Herz Stiftung, Australian Government, Bundesministerium für Bildung und Forschung, Bundesministerium für Gesundheit, Universität Hamburg, Leibniz-Gemeinschaft
Openalex Percentile: Top 39%
Advanced biosensing and bioanalysis techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.