Evidence map›Paper›PMID 34278742›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021

Collaborative Equilibrium Coupling of Catalytic DNA Nanostructures Enables Programmable Detection of SARS-CoV-2.

Yuan Chen, Noah R Sundah, Nicholas R Y Ho, Auginia Natalia, Yu Liu, Qing Hao Miow, Yu Wang, Darius L L Beh, Ka Lip Chew, Douglas Chan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  4. Review
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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

13 authors at 4 institutions in 1 country.

Yuan ChenInstitute for Health Innovation & Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID 0000-0003-0992-0121
Noah R SundahInstitute for Health Innovation & Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID 0000-0003-1077-263X
Nicholas R Y HoInstitute for Health Innovation & Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID 0000-0002-9031-5633
Auginia NataliaInstitute for Health Innovation & Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID 0000-0001-7487-6759
Yu LiuInstitute for Health Innovation & Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID 0000-0001-5660-0281
Qing Hao MiowDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore.
Yu WangDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore.
Darius L L BehDivision of Infectious Diseases, Department of Medicine, National University Hospital, Singapore, 119074, Singapore.
Ka Lip ChewDepartment of Laboratory Medicine, National University Hospital, Singapore, 119074, Singapore.ORCID 0000-0002-4654-6434
Douglas ChanDepartment of Laboratory Medicine, Ng Teng Fong General Hospital, Singapore, 609606, Singapore.ORCID 0000-0003-0052-3357
Paul A TambyahDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore.ORCID 0000-0003-0405-771X
Catherine W M OngInstitute for Health Innovation & Technology, National University of Singapore, Singapore, 117599, Singapore.
Huilin ShaoInstitute for Health Innovation & Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID 0000-0003-4513-1410
National University of Singapore · SGAgency for Science, Technology and Research · SGNational University Hospital · SGNg Teng Fong General Hospital · SG

Funding

Ministry of Education - Singapore R397000336114Ministry of Education - Singapore T2EP30120-0025National Medical Research Council COVID19RF3-0044National Medical Research Council MOH-000234National Medical Research Council MOH-000564National University of Singapore R722000023133
6 · The paper itself

Abstract

Accessible and adaptable nucleic acid diagnostics remains a critical challenge in managing the evolving COVID-19 pandemic. Here, an integrated molecular nanotechnology that enables direct and programmable detection of SARS-CoV-2 RNA targets in native patient specimens is reported. Termed synergistic coupling of responsive equilibrium in enzymatic network (SCREEN), the technology leverages tunable, catalytic molecular nanostructures to establish an interconnected, collaborative architecture. SCREEN mimics the extraordinary organization and functionality of cellular signaling cascades. Through programmable enzyme-DNA nanostructures, SCREEN activates upon interaction with different RNA targets to initiate multi-enzyme catalysis; through system-wide favorable equilibrium shifting, SCREEN directly transduces a single target binding into an amplified electrical signal. To establish collaborative equilibrium coupling in the architecture, a computational model that simulates all reactions to predict overall performance and optimize assay configuration is developed. The developed platform achieves direct and sensitive RNA detection (approaching single-copy detection), fast response (assay reaction is completed within 30 min at room temperature), and robust programmability (across different genetic loci of SARS-CoV-2). When clinically evaluated, the technology demonstrates robust and direct detection in clinical swab lysates to accurately diagnose COVID-19 patients.

Indexed as

COVID-19DNA, CatalyticHumansLimit of DetectionMolecular Diagnostic TechniquesNanostructuresNanotechnologyPandemicsRNA, ViralSARS-CoV-2Specimen HandlingDNA, CatalyticRNA, Viralcatalytic DNA nanostructurescollaborative equilibrium couplingdirect and programmable detectionmolecular nanotechnologynucleic acid testing

Identifiers

PMID34278742
PMCPMC8420304
OpenAlexW3183256984

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.