Evidence map›Paper›PMID 30104566›Full record

ArticleNature communications2018

Visual and modular detection of pathogen nucleic acids with enzyme-DNA molecular complexes.

Nicholas R Y Ho, Geok Soon Lim, Noah R Sundah, Diana Lim, Tze Ping Loh, Huilin Shao

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 90 citations in OpenAlex.

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  5. Portable, and ultrasensitive HR-HPV tests based on nucleic acid biosensors.Frontiers in cellular and infection microbiology · 2024
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  8. Proximity-Driven DNA Nanosensors.ECS sensors plus · 2023
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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

6 authors at 3 institutions in 1 country.

Nicholas R Y HoBiomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID http://orcid.org/0000-0002-9031-5633
Geok Soon LimBiomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, 117599, Singapore.
Noah R SundahBiomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID http://orcid.org/0000-0003-1077-263X
Diana LimDepartment of Pathology, National University Hospital, Singapore, 119074, Singapore.
Tze Ping LohBiomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, 117599, Singapore.
Huilin ShaoBiomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, 117599, Singapore. huilin.shao@nus.edu.sg.
Agency for Science, Technology and Research · SGNational University of Singapore · SGNational University Hospital · SG

Funding

Ministry of Education - Singapore (MOE) R-722-000-005-133MOH | National Medical Research Council (NMRC) NMRC/TCR/016-NNI/2016
6 · The paper itself

Abstract

Rapid, visual detection of pathogen nucleic acids has broad applications in infection management. Here we present a modular detection platform, termed enzyme-assisted nanocomplexes for visual identification of nucleic acids (enVision). The system consists of an integrated circuit of enzyme-DNA nanostructures, which function as independent recognition and signaling elements, for direct and versatile detection of pathogen nucleic acids from infected cells. The built-in enzymatic cascades produce a rapid color readout for the naked eye; the assay is thus fast (<2 h), sensitive (<10 amol), and readily quantified with smartphones. When implemented on a configurable microfluidic platform, the technology demonstrates superior programmability to perform versatile computations, for detecting diverse pathogen targets and their virus-host genome integration loci. We further design the enVision platform for molecular-typing of infections in patient endocervical samples. The technology not only improves the clinical inter-subtype differentiation, but also expands the intra-subtype coverage to identify previously undetectable infections.

Indexed as

Biological AssayDNAHorseradish PeroxidaseHumansNanostructuresNucleic AcidsPapillomaviridaeDNAHorseradish PeroxidaseNucleic Acids

Identifiers

PMID30104566
PMCPMC6089962
OpenAlexW2886148568

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.