ArticleScientific reports2018
Turn-off colorimetric sensor for sequence-specific recognition of single-stranded DNA based upon Y-shaped DNA structure.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
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- Development of Two-Dimensional Functional Nanomaterials for Biosensor Applications: Opportunities, Challenges, and Future Prospects.Nanomaterials (Basel, Switzerland) · 2023Review
- Two-dimensional nanostructures based '-onics' and '-omics' in personalized medicine.Nanophotonics (Berlin, Germany) · 2022Review
- Optical Biosensor Based on Graphene and Its Derivatives for Detecting Biomolecules.International journal of molecular sciences · 2022Review
- 2D Material-Based Optical Biosensor: Status and Prospect.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- The correlation between polymorphisms in theTranslational pediatrics · 2021Article
- G-Quadruplexes as An Alternative Recognition Element in Disease-Related Target Sensing.Molecules (Basel, Switzerland) · 2019Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A novel turn-off colorimetric sensor for sequence-specific recognition of single-stranded DNA (ssDNA) was established by combining Y-shaped DNA duplex and G-quadruplex-hemin DNAzyme. A G-rich single-stranded DNA (Oligo-1) displays peroxidase mimicking catalytic activity due to the specific binding with hemin in the presence of K
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Registered trials
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.