Evidence map›Paper›PMID 41762176›Full record

ArticleNucleic acids research2026

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

Alissa Drees, Christian Ahlers, Timothy Kehrer, Natascha Ehmke, Alice Frederike Rosa Grün, Charlotte Uetrecht, Zoya Ignatova, Udo Schumacher, Markus Fischer

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alissa DreesHamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Grindelallee 117, Hamburg 20146, Germany.
Christian AhlersHamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Grindelallee 117, Hamburg 20146, Germany.
Timothy KehrerHamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Grindelallee 117, Hamburg 20146, Germany.
Natascha EhmkeHamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Grindelallee 117, Hamburg 20146, Germany.
Alice Frederike Rosa GrünCSSB Centre for Structural Systems Biology, Deutsches Elektronen-Synchrotron DESY, Leibniz Institute of Virology and University of Lübeck, Notkestraße 85, Hamburg 22607, Germany.
Charlotte UetrechtCSSB Centre for Structural Systems Biology, Deutsches Elektronen-Synchrotron DESY, Leibniz Institute of Virology and University of Lübeck, Notkestraße 85, Hamburg 22607, Germany.
Zoya IgnatovaInstitute of Biochemistry and Molecular Biology, University of Hamburg, Martin-Luther-King-Platz 6, 20146 Hamburg, Germany.
Udo SchumacherDepartment of Anatomy & Experimental Morphology, University Medical Center Hamburg Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany.
Markus FischerHamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Grindelallee 117, Hamburg 20146, Germany.ORCID 0000-0001-7243-4199

Funding

EU Horizon 2020 StG-2017 759661Federal Government and the LänderFederal Ministry of Education and ResearchFree and Hanseatic City of HamburgJoachim Herz FoundationLandesforschungsförderung HamburgLeibniz Association SAW-2014-HPI-4Leibniz Institute for Experimental Virology
6 · The paper itself

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.

Indexed as

Aptamers, NucleotideHigh-Throughput Nucleotide SequencingSELEX Aptamer TechniqueAdhesins, BacterialBacterial ToxinsEscherichia coliExotoxinsPseudomonas aeruginosaPseudomonas aeruginosa Exotoxin AAdhesins, BacterialAptamers, NucleotideBacterial ToxinsExotoxinsPseudomonas aeruginosa Exotoxin A

Identifiers

PMID41762176
PMCPMC12956354

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.