Evidence map›Paper›PMID 27387284›Full record

ArticleNucleic acids research2016

Post-ExSELEX stabilization of an unnatural-base DNA aptamer targeting VEGF165 toward pharmaceutical applications.

Michiko Kimoto, Mana Nakamura, Ichiro Hirao

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Mini-Hairpin DNA: Extraordinarily Stable Structure and Its Applications.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Reverse transcription as key step in RNARSC chemical biology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Molecular elements: novel approaches for molecular building.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  18. Success probability of high-affinity DNA aptamer generation by genetic alphabet expansion.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  19. Review
  20. In vitro evolution of ribonucleases from expanded genetic alphabets.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

3 authors at 3 institutions in 2 countries.

Michiko KimotoInstitute of Bioengineering and Nanotechnology, 31 Biopolis Way, The Nanos, #04-01, 138669, Singapore RIKEN Center for Life Science Technologies, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan TagCyx Biotechnologies, 1-6-126 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan PRESTO, JST, Honcho, Kawaguchi-shi, Saitama 332-0012, Japan.
Mana NakamuraRIKEN Center for Life Science Technologies, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan Department of Medical Life Science, Graduate School of Medical Life Science, Yokohama City University, Yokohama, Kanagawa 230-0045, Japan.
Ichiro HiraoInstitute of Bioengineering and Nanotechnology, 31 Biopolis Way, The Nanos, #04-01, 138669, Singapore RIKEN Center for Life Science Technologies, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan TagCyx Biotechnologies, 1-6-126 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan ichiro@ibn.a-star.edu.sg.
Institute of Bioengineering and Nanotechnology · SGTagCyx Biotechnologies (Japan) · JPYokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new technology, genetic alphabet expansion using artificial bases (unnatural bases), has created high-affinity DNA ligands (aptamers) that specifically bind to target proteins by ExSELEX (genetic alphabet Expansion for Systematic Evolution of Ligands by EXponential enrichment). We recently found that the unnatural-base DNA aptamers can be stabilized against nucleases, by introducing an extraordinarily stable, unique hairpin DNA (mini-hairpin DNA) and by reinforcing the stem region with G-C pairs. Here, to establish this aptamer generation method, we examined the stabilization of a high-affinity anti-VEGF165 unnatural-base DNA aptamer. The stabilized aptamers displayed significantly increased thermal and nuclease stabilities, and furthermore, exhibited higher affinity to the target. As compared to the well-known anti-VEGF165 RNA aptamer, pegaptanib (Macugen), our aptamers did not require calcium ions for binding to VEGF165 Biological experiments using cultured cells revealed that our stabilized aptamers efficiently inhibited the interaction between VEGF165 and its receptor, with the same or slightly higher efficiency than that of the pegaptanib RNA aptamer. The development of cost-effective and calcium ion-independent high-affinity anti-VEGF165 DNA aptamers encourages further progress in diagnostic and therapeutic applications. In addition, the stabilization process provided additional information about the key elements required for aptamer binding to VEGF165.

Indexed as

SELEX Aptamer TechniqueAptamers, NucleotideBase SequenceCalciumCost-Benefit AnalysisDNAProtein BindingReceptors, Vascular Endothelial Growth FactorSubstrate SpecificityThermodynamicsVascular Endothelial Growth Factor AAptamers, NucleotideCalciumDNApegaptanibReceptors, Vascular Endothelial Growth FactorVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID27387284
PMCPMC5009754
OpenAlexW2475310774

What OpenQuestion holds

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LicenceCC BY-NC
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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.