Evidence map›Paper›PMID 34169309›Full record

ArticleNucleic acids research2021

High-affinity five/six-letter DNA aptamers with superior specificity enabling the detection of dengue NS1 protein variants beyond the serotype identification.

Ken-Ichiro Matsunaga, Michiko Kimoto, Vanessa Weixun Lim, Hui Pen Tan, Yu Qian Wong, William Sun, Shawn Vasoo, Yee Sin Leo, Ichiro Hirao

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
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  3. Mini-Hairpin DNA: Extraordinarily Stable Structure and Its Applications.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
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  5. Advances in aptamer technology for target-based drug discovery.Journal of pharmaceutical analysis · 2026
    Review
  6. Article
  7. Review
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  10. Review
  11. Reverse transcription as key step in RNARSC chemical biology · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Discovery, implications and initial use of semi-synthetic organisms with an expanded genetic alphabet/code.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  19. 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
  20. Review
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 at 4 institutions in 1 country.

Ken-Ichiro MatsunagaInstitute of Bioengineering and Bioimaging, 31 Biopolis Way, The Nanos, #07-01, Singapore 138669, Singapore.
Michiko KimotoInstitute of Bioengineering and Bioimaging, 31 Biopolis Way, The Nanos, #07-01, Singapore 138669, Singapore.
Vanessa Weixun LimNational Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore 308442, Singapore.
Hui Pen TanInstitute of Bioengineering and Bioimaging, 31 Biopolis Way, The Nanos, #07-01, Singapore 138669, Singapore.
Yu Qian WongInstitute of Bioengineering and Bioimaging, 31 Biopolis Way, The Nanos, #07-01, Singapore 138669, Singapore.
William SunInstitute of Bioengineering and Bioimaging, 31 Biopolis Way, The Nanos, #07-01, Singapore 138669, Singapore.
Shawn VasooNational Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore 308442, Singapore.
Yee Sin LeoNational Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore 308442, Singapore.
Ichiro HiraoInstitute of Bioengineering and Bioimaging, 31 Biopolis Way, The Nanos, #07-01, Singapore 138669, Singapore.ORCID 0000-0002-1115-8079
Institute of Bioengineering and Nanotechnology · SGNational University of Singapore · SGNanyang Technological University · SGNational Centre for Infectious Diseases · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic alphabet expansion of DNA by introducing unnatural bases (UBs), as a fifth letter, dramatically augments the affinities of DNA aptamers that bind to target proteins. To determine whether UB-containing DNA (UB-DNA) aptamers obtained by affinity selection could spontaneously achieve high specificity, we have generated a series of UB-DNA aptamers (KD: 27-182 pM) targeting each of four dengue non-structural protein 1 (DEN-NS1) serotypes. The specificity of each aptamer is remarkably high, and the aptamers can recognize the subtle variants of DEN-NS1 with at least 96.9% amino acid sequence identity, beyond the capability of serotype identification (69-80% sequence identities). Our UB-DNA aptamers specifically identified two major variants of dengue serotype 1 with 10-amino acid differences in the DEN-NS1 protein (352 aa) in Singaporeans' clinical samples. These results suggest that the high-affinity UB-DNA aptamers generated by affinity selection also acquire high target specificity. Intriguingly, one of the aptamers contained two different UBs as fifth and sixth letters, which are essential for the tight binding to the target. These two types of unnatural bases with distinct physicochemical properties profoundly expand the potential of DNA aptamers. Detection methods incorporating the UB-DNA aptamers will facilitate precise diagnoses of viral infections and other diseases.

Indexed as

Aptamers, NucleotideDengueHumansMolecular Diagnostic TechniquesMutationProtein BindingSELEX Aptamer TechniqueSerogroupViral Nonstructural ProteinsAptamers, NucleotideNS1 protein, dengue-1 virusViral Nonstructural Proteins

Identifiers

PMID34169309
PMCPMC8599795
OpenAlexW3174323634

What OpenQuestion holds

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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.