Evidence map›Paper›PMID 36583362›Full record

ArticleNucleic acids research2023

High-throughput quantitative binding analysis of DNA aptamers using exonucleases.

Juan Canoura, Obtin Alkhamis, Yingzhu Liu, Connor Willis, Yi Xiao

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Dissociation Constant (KSmall methods · 2025
    Review
  5. Article
  6. Article
  7. Nanotherapeutics for Alleviating Anesthesia-Associated Complications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  8. Article
  9. 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

5 authors.

Juan CanouraDepartment of Chemistry, North Carolina State University, 2620 Yarbrough Drive, Raleigh, NC 27607, USA.
Obtin AlkhamisDepartment of Chemistry, North Carolina State University, 2620 Yarbrough Drive, Raleigh, NC 27607, USA.
Yingzhu LiuDepartment of Chemistry, North Carolina State University, 2620 Yarbrough Drive, Raleigh, NC 27607, USA.
Connor WillisDepartment of Chemistry, North Carolina State University, 2620 Yarbrough Drive, Raleigh, NC 27607, USA.
Yi XiaoDepartment of Chemistry, North Carolina State University, 2620 Yarbrough Drive, Raleigh, NC 27607, USA.ORCID 0000-0001-7278-9811

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aptamers are nucleic acid bioreceptors that have been used in various applications including medical diagnostics and as therapeutic agents. Identifying the most optimal aptamer for a particular application is very challenging. Here, we for the first time have developed a high-throughput method for accurately quantifying aptamer binding affinity, specificity, and cross-reactivity via the kinetics of aptamer digestion by exonucleases. We demonstrate the utility of this approach by isolating a set of new aptamers for fentanyl and its analogs, and then characterizing the binding properties of 655 aptamer-ligand pairs using our exonuclease digestion assay and validating the results with gold-standard methodologies. These data were used to select optimal aptamers for the development of new sensors that detect fentanyl and its analogs in different analytical contexts. Our approach dramatically accelerates the aptamer characterization process and streamlines sensor development, and if coupled with robotics, could enable high-throughput quantitative analysis of thousands of aptamer-ligand pairs.

Indexed as

Aptamers, NucleotideExonucleasesFentanylLigandsNucleic AcidsRoboticsSELEX Aptamer TechniqueAptamers, NucleotideExonucleasesFentanylLigandsNucleic Acids

Identifiers

PMID36583362
PMCPMC9976898

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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.