Evidence map›Paper›PMID 26007661›Full record

ArticleNucleic acids research2015

Identifying high-affinity aptamer ligands with defined cross-reactivity using high-throughput guided systematic evolution of ligands by exponential enrichment.

Agata Levay, Randall Brenneman, Jan Hoinka, David Sant, Marco Cardone, Giorgio Trinchieri, Teresa M Przytycka, Alexey Berezhnoy

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Trial
  2. Article
  3. Cell SELEX-based DNA aptamer selection targetingVeterinary research forum : an international quarterly journal · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. In vitro selection of aptamers and their applications.Nature reviews. Methods primers · 2023
    Article
  15. Aptamer-Based Strategies to Address Challenges in COVID-19 Diagnosis and Treatments.Interdisciplinary perspectives on infectious diseases · 2023
    Review
  16. Review
  17. Article
  18. Review
  19. Cancer immunomodulation using bispecific aptamers.Molecular therapy. Nucleic acids · 2022
    Review
  20. 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

8 authors.

Agata LevaySylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Randall BrennemanSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Jan HoinkaNational Center of Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD 20894, USA.
David SantSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Marco CardoneCancer Inflammation Program, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Frederick, MD, USA.
Giorgio TrinchieriCancer Inflammation Program, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Frederick, MD, USA.
Teresa M PrzytyckaNational Center of Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD 20894, USA.
Alexey BerezhnoySylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA Department of Medicine, University of Miami Miller School of Medicine, Miami, FL 33136, USA ABerezhnoy@med.miami.edu.

Funding

Combinatorial and graph theoretical approach to systems biology and mol. evo.ZIALM200887 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PRZYTYCKA, TERESA · 2009 to 2025
$24.4M
Role of inflammation, innate resistance, and immunity in carcinogenesis.ZIABC010793 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI TRINCHIERI, GIORGIO · 2009 to 2025
$16.8M
Regulation of human dendritic cell activationZIABC011152 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI TRINCHIERI, GIORGIO · 2009 to 2025
$8.6M
University of Miami Computational Ocular Genomics Training ProgramT32EY023194 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SCOTT, WILLIAM K · 2013 to 2017
$661k
NEI NIH HHS T32 EY023194
6 · The paper itself

Abstract

Oligonucleotide aptamers represent a novel platform for creating ligands with desired specificity, and they offer many potentially significant advantages over monoclonal antibodies in terms of feasibility, cost, and clinical applicability. However, the isolation of high-affinity aptamer ligands from random oligonucleotide pools has been challenging. Although high-throughput sequencing (HTS) promises to significantly facilitate systematic evolution of ligands by exponential enrichment (SELEX) analysis, the enormous datasets generated in the process pose new challenges for identifying those rare, high-affinity aptamers present in a given pool. We show that emulsion PCR preserves library diversity, preventing the loss of rare high-affinity aptamers that are difficult to amplify. We also demonstrate the importance of using reference targets to eliminate binding candidates with reduced specificity. Using a combination of bioinformatics and functional analyses, we show that the rate of amplification is more predictive than prevalence with respect to binding affinity and that the mutational landscape within a cluster of related aptamers can guide the identification of high-affinity aptamer ligands. Finally, we demonstrate the power of this selection process for identifying cross-species aptamers that can bind human receptors and cross-react with their murine orthologs.

Indexed as

High-Throughput Nucleotide SequencingAnimalsAptamers, NucleotideGene LibraryHumansLigandsMiceMutationPolymerase Chain ReactionReceptors, Interleukin-10SELEX Aptamer TechniqueTumor Necrosis Factor Receptor Superfamily, Member 9Aptamers, NucleotideLigandsReceptors, Interleukin-10TNFRSF9 protein, humanTumor Necrosis Factor Receptor Superfamily, Member 9

Identifiers

PMID26007661
PMCPMC4499151

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.