Evidence map›Paper›PMID 34787487›Full record

ArticleMicrobiology spectrum2021

CRISPR-Cas12a-Based Detection for the Major SARS-CoV-2 Variants of Concern.

Yuanhao Liang, Hongqing Lin, Lirong Zou, Jianhui Zhao, Baisheng Li, Haiying Wang, Jing Lu, Jiufeng Sun, Xingfen Yang, Xiaoling Deng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.9field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 82 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Yuanhao LiangDepartment of Epidemiology, School of Public Health, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Hongqing LinDepartment of Epidemiology, School of Public Health, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Lirong ZouGuangdong Provincial Institute of Public Health, Guangdong Center for Diseases Control and Prevention, Guangzhou, China.
Jianhui ZhaoDepartment of Epidemiology, School of Public Health, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Baisheng LiGuangdong Provincial Institute of Public Health, Guangdong Center for Diseases Control and Prevention, Guangzhou, China.ORCID 0000-0003-1842-316X
Haiying WangDepartment of Epidemiology, School of Public Health, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Jing LuGuangdong Provincial Institute of Public Health, Guangdong Center for Diseases Control and Prevention, Guangzhou, China.
Jiufeng SunGuangdong Provincial Institute of Public Health, Guangdong Center for Diseases Control and Prevention, Guangzhou, China.
Xingfen YangDepartment of Epidemiology, School of Public Health, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Xiaoling DengGuangdong Provincial Institute of Public Health, Guangdong Center for Diseases Control and Prevention, Guangzhou, China.
Shixing TangDepartment of Epidemiology, School of Public Health, Southern Medical Universitygrid.284723.8, Guangzhou, China.ORCID 0000-0001-9637-1874
Guangdong Provincial Center for Disease Control and Prevention · CNSouthern Medical University · CNNanfang Hospital · CN

Funding

MOST | National Major Science and Technology Projects of China (National Major Science and Technology Project of China) 2018ZX10732-401-003-003
6 · The paper itself

Abstract

A big challenge for the control of COVID-19 pandemic is the emergence of variants of concern (VOCs) or variants of interest (VOIs) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which may be more transmissible and/or more virulent and could escape immunity obtained through infection or vaccination. A simple and rapid test for SARS-CoV-2 variants is an unmet need and is of great public health importance. In this study, we designed and analytically validated a CRISPR-Cas12a system for direct detection of SARS-CoV-2 VOCs. We further evaluated the combination of ordinary reverse transcription-PCR (RT-PCR) and CRISPR-Cas12a to improve the detection sensitivity and developed a universal system by introducing a protospacer adjacent motif (PAM) near the target mutation sites through PCR primer design to detect mutations without PAM. Our results indicated that the CRISPR-Cas12a assay could readily detect the signature spike protein mutations (K417N/T, L452R/Q, T478K, E484K/Q, N501Y, and D614G) to distinguish alpha, beta, gamma, delta, kappa, lambda, and epsilon variants of SARS-CoV-2. In addition, the open reading frame 8 (ORF8) mutations (T/C substitution at nt28144 and the corresponding change of amino acid L/S) could differentiate L and S lineages of SARS-CoV-2. The low limit of detection could reach 10 copies/reaction. Our assay successfully distinguished 4 SARS-CoV-2 strains of wild type and alpha (B.1.1.7), beta (B.1.351), and delta (B.1.617.2) variants. By testing 32 SARS-CoV-2-positive clinical samples infected with the wild type (

Indexed as

CRISPR-Cas SystemsAllelesCOVID-19COVID-19 TestingDatabases, Nucleic AcidHumansMass ScreeningMutationPolymerase Chain ReactionPublic HealthSARS-CoV-2Spike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2CRISPR-Cas systememerging SARS-CoV-2 variantSARS-CoV-2variant screening

Identifiers

PMID34787487
PMCPMC8597640
OpenAlexW3211430842

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.