Evidence map›Paper›PMID 33262379›Full record

ArticleScientific reports2020

DNA aptamers against bacterial cells can be efficiently selected by a SELEX process using state-of-the art qPCR and ultra-deep sequencing.

Claudia Kolm, Isabella Cervenka, Ulrich J Aschl, Niklas Baumann, Stefan Jakwerth, Rudolf Krska, Robert L Mach, Regina Sommer, Maria C DeRosa, Alexander K T Kirschner and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

31 citing papers in PubMed, 58 citations in OpenAlex.

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  6. A Novel Aptamer Selection Strategy forMolecules (Basel, Switzerland) · 2025
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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

12 authors at 6 institutions in 3 countries.

Claudia KolmMolecular Diagnostics Group, Department IFA-Tulln, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Tulln, Austria.
Isabella CervenkaMolecular Diagnostics Group, Department IFA-Tulln, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Tulln, Austria.
Ulrich J AschlMolecular Diagnostics Group, Department IFA-Tulln, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Tulln, Austria.
Niklas BaumannMolecular Diagnostics Group, Department IFA-Tulln, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Tulln, Austria.
Stefan JakwerthICC Interuniversity Cooperation Centre Water and Health, Vienna, Austria.
Rudolf KrskaInstitute of Bioanalytics and Agro-Metabolomics, Department IFA-Tulln, University of Natural Resources and Life Sciences, Vienna (BOKU), Tulln, Austria.
Robert L MachResearch Group Synthetic Biology and Molecular Biotechnology (166-5-1), Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna, Austria.
Regina SommerICC Interuniversity Cooperation Centre Water and Health, Vienna, Austria.
Maria C DeRosaDepartment of Chemistry, Carleton University, Ottawa, Canada.
Alexander K T KirschnerICC Interuniversity Cooperation Centre Water and Health, Vienna, Austria.
Andreas H FarnleitnerICC Interuniversity Cooperation Centre Water and Health, Vienna, Austria.
Georg H ReischerMolecular Diagnostics Group, Department IFA-Tulln, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Tulln, Austria. georg.reischer@tuwien.ac.at.
Interuniversity Cooperation Centre Water & Health · ATBOKU University · ATCarleton University · CAKarl Landsteiner University of Health Sciences · ATTU Wien · ATUniversitätsklinikum Tulln · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA aptamers generated by cell-SELEX against bacterial cells have gained increased interest as novel and cost-effective affinity reagents for cell labelling, imaging and biosensing. Here we describe the selection and identification of DNA aptamers for bacterial cells using a combined approach based on cell-SELEX, state-of-the-art applications of quantitative real-time PCR (qPCR), next-generation sequencing (NGS) and bioinformatic data analysis. This approach is demonstrated on Enterococcus faecalis (E. faecalis), which served as target in eleven rounds of cell-SELEX with multiple subtractive counter-selections against non-target species. During the selection, we applied qPCR-based analyses to evaluate the ssDNA pool size and remelting curve analysis of qPCR amplicons to monitor changes in pool diversity and sequence enrichment. Based on NGS-derived data, we identified 16 aptamer candidates. Among these, aptamer EF508 exhibited high binding affinity to E. faecalis cells (K

Indexed as

High-Throughput Nucleotide SequencingReal-Time Polymerase Chain ReactionAptamers, NucleotideDNA, Single-StrandedEnterococcus faecalisSELEX Aptamer TechniqueAptamers, NucleotideDNA, Single-Stranded

Identifiers

PMID33262379
PMCPMC7708460
OpenAlexW3110518282

What OpenQuestion holds

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LicenceCC BY
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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.