Evidence map›Paper›PMID 33717855›Full record

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

Digital CRISPR/Cas-Assisted Assay for Rapid and Sensitive Detection of SARS-CoV-2.

Joon Soo Park, Kuangwen Hsieh, Liben Chen, Aniruddha Kaushik, Alexander Y Trick, Tza-Huei Wang

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 74 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 2 pooled it
9.8field-weighted citation impact, top 1% 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

74 citing papers in PubMed, 2 syntheses or guidelines pooled it, 194 citations in OpenAlex.

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  7. MnOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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14 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Joon Soo ParkDepartment of Biomedical Engineering Johns Hopkins University Baltimore MD 21218 USA.ORCID https://orcid.org/0000-0003-2618-0612
Kuangwen HsiehDepartment of Mechanical Engineering Johns Hopkins University Baltimore MD 21218 USA.ORCID https://orcid.org/0000-0003-3730-4406
Liben ChenDepartment of Mechanical Engineering Johns Hopkins University Baltimore MD 21218 USA.ORCID https://orcid.org/0000-0002-0648-2456
Aniruddha KaushikDepartment of Mechanical Engineering Johns Hopkins University Baltimore MD 21218 USA.ORCID https://orcid.org/0000-0002-7329-624X
Alexander Y TrickDepartment of Biomedical Engineering Johns Hopkins University Baltimore MD 21218 USA.ORCID https://orcid.org/0000-0003-3997-9669
Tza-Huei WangDepartment of Biomedical Engineering Johns Hopkins University Baltimore MD 21218 USA.ORCID https://orcid.org/0000-0002-3540-9354
Johns Hopkins University · US

Funding

Technology development for point-of-care detection and antimicrobial susceptibility testing of Neisseria gonorrhoeaeR01AI138978 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2018 to 2021
$5.1M
A "Culture" Shift: Integrated Bacterial Screening and Antibacterial Susceptibility Test on Microfluidic Digital Array for Bloodstream InfectionsR01AI137272 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF, YANG, SAMUEL · 2018 to 2022
$3.6M
NIAID NIH HHS R01 AI137272NIAID NIH HHS R01 AI138978
6 · The paper itself

Abstract

The unprecedented demand for rapid diagnostics in response to the COVID-19 pandemic has brought the spotlight onto clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated systems (Cas)-assisted nucleic acid detection assays. Already benefitting from an elegant detection mechanism, fast assay time, and low reaction temperature, these assays can be further advanced via integration with powerful, digital-based detection. Thus motivated, the first digital CRISPR/Cas-assisted assay-coined digitization-enhanced CRISPR/Cas-assisted one-pot virus detection (deCOViD)-is developed and applied toward SARS-CoV-2 detection. deCOViD is realized through tuning and discretizing a one-step, fluorescence-based, CRISPR/Cas12a-assisted reverse transcription recombinase polymerase amplification assay into sub-nanoliter reaction wells within commercially available microfluidic digital chips. The uniformly elevated digital concentrations enable deCOViD to achieve qualitative detection in <15 min and quantitative detection in 30 min with high signal-to-background ratio, broad dynamic range, and high sensitivity-down to 1 genome equivalent (GE) µL

Indexed as

CRISPR/Casdiagnosticsdigitalnucleic acidSARS‐CoV‐2

Identifiers

PMID33717855
PMCPMC7927608
OpenAlexW3104540940

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.