Evidence map›Paper›PMID 30113161›Full record

ArticleACS applied materials & interfaces2018

Duplex-Specific Nuclease-Amplified Detection of MicroRNA Using Compact Quantum Dot-DNA Conjugates.

Ye Wang, Philip D Howes, Eunjung Kim, Christopher D Spicer, Michael R Thomas, Yiyang Lin, Spencer W Crowder, Isaac J Pence, Molly M Stevens

Open access · hybridAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 69 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Role of Nano-miRNAs in Diagnostics and Therapeutics.International journal of molecular sciences · 2022
    Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Microscopies Enabled by Photonic Metamaterials.Sensors (Basel, Switzerland) · 2022
    Review
  15. Article
  16. Transcriptomics in Alzheimer's Disease: Aspects and Challenges.International journal of molecular sciences · 2020
    Review
  17. Review
  18. Article
  19. Article
  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

9 authors at 1 institution in 1 country.

Ye WangDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering , Imperial College London , London SW7 2AZ , U.K.ORCID http://orcid.org/0000-0002-0525-1832
Philip D HowesDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering , Imperial College London , London SW7 2AZ , U.K.ORCID http://orcid.org/0000-0002-1862-8395
Eunjung KimDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering , Imperial College London , London SW7 2AZ , U.K.
Christopher D SpicerDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering , Imperial College London , London SW7 2AZ , U.K.ORCID http://orcid.org/0000-0001-8787-578X
Michael R ThomasDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering , Imperial College London , London SW7 2AZ , U.K.ORCID http://orcid.org/0000-0001-7795-9648
Yiyang LinDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering , Imperial College London , London SW7 2AZ , U.K.ORCID http://orcid.org/0000-0003-2017-190X
Spencer W CrowderDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering , Imperial College London , London SW7 2AZ , U.K.
Isaac J PenceDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering , Imperial College London , London SW7 2AZ , U.K.
Molly M StevensDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering , Imperial College London , London SW7 2AZ , U.K.ORCID http://orcid.org/0000-0002-7335-266X
Imperial College London · GB

Funding

European Research Council 616417
6 · The paper itself

Abstract

Advances in nanotechnology have provided new opportunities for the design of next-generation nucleic acid biosensors and diagnostics. Indeed, combining advances in functional nanoparticles, DNA nanotechnology, and nuclease-enzyme-based amplification can give rise to new assays with advantageous properties. In this work, we developed a microRNA (miRNA) assay using bright fluorescent quantum dots (QDs), simple DNA probes, and the enzyme duplex-specific nuclease. We employed an isothermal target-recycling mechanism, where a single miRNA target triggers the cleavage of many DNA signal probes. The incorporation of DNA-functionalized QDs enabled a quantitative fluorescent readout, mediated by Förster resonance energy transfer (FRET)-based interaction with the DNA signal probes. Our approach splits the reaction in two, performing the enzyme-mediated amplification and QD-based detection steps separately such that each reaction could be optimized for performance of the active components. Target recycling gave ca. 3 orders of magnitude amplification, yielding highly sensitive detection with a limit of 42 fM (or 1.2 amol) of miR-148, with excellent selectivity versus mismatched sequences and other miRNAs. Furthermore, we used an alternative target (miR-21) and FRET pair for direct and absolute quantification of miR-21 in RNA extracts from human cancer and normal cell lines.

Indexed as

Quantum DotsBiosensing TechniquesDNA ProbesFluorescence Resonance Energy TransferHumansMicroRNAsDNA ProbesMicroRNAsbiosensingFRETisothermal amplificationmiRNAquantum dotstarget-recycling

Identifiers

PMID30113161
PMCPMC6141140
OpenAlexW2887783865

What OpenQuestion holds

Textmetadata
LicenceTDM
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.