Evidence map›Paper›PMID 37672505›Full record

ArticleEmerging microbes & infections2023

Betacoronaviruses SARS-CoV-2 and HCoV-OC43 infections in IGROV-1 cell line require aryl hydrocarbon receptor.

Meisam Yousefi, Wai Suet Lee, Wharton O Y Chan, Wei He, Marcus G Mah, Cythia Lingli Yong, Joshua M Deerain, Lijin Wang, Camille Arcinas, Biaoguo Yan and 14 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 14 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

24 authors at 9 institutions in 3 countries.

Meisam YousefiProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0002-7346-803X
Wai Suet LeeProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Wharton O Y ChanProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0002-4526-470X
Wei HeProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Marcus G MahProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Cythia Lingli YongProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Joshua M DeerainVictorian Infectious Diseases Reference Laboratory, The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Lijin WangCentre for Computational Biology, Duke-NUS Medical School, Singapore, Singapore.
Camille ArcinasProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Biaoguo YanProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Dewei TanProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Wan Rong SiaProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Akshamal M GamageProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Jinxuan YangYunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, People's Republic of China.
Alan Chen-Yu HsuProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Shang LiProgram in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore.
Martin LinsterProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Xinglou YangYunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, People's Republic of China.
Sujoy GhoshCentre for Computational Biology, Duke-NUS Medical School, Singapore, Singapore.
Danielle E AndersonVictorian Infectious Diseases Reference Laboratory, The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Gavin J D SmithProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Chee Wah TanProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Lin-Fa WangProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0003-2752-0535
Yaw Shin OoiProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0001-9014-1365
Duke-NUS Medical School · SGPeter Doherty Institute · AUAgency for Science, Technology and Research · SGChinese Academy of Sciences · CNKunming Institute of Zoology · CNThe University of Melbourne · AUHunter Medical Research Institute · AUNational University of Singapore · SGVictorian Infectious Diseases Reference Laboratory · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of novel betacoronaviruses has posed significant financial and human health burdens, necessitating the development of appropriate tools to combat future outbreaks. In this study, we have characterized a human cell line, IGROV-1, as a robust tool to detect, propagate, and titrate betacoronaviruses SARS-CoV-2 and HCoV-OC43. IGROV-1 cells can be used for serological assays, antiviral drug testing, and isolating SARS-CoV-2 variants from patient samples. Using time-course transcriptomics, we confirmed that IGROV-1 cells exhibit a robust innate immune response upon SARS-CoV-2 infection, recapitulating the response previously observed in primary human nasal epithelial cells. We performed genome-wide CRISPR knockout genetic screens in IGROV-1 cells and identified Aryl hydrocarbon receptor (AHR) as a critical host dependency factor for both SARS-CoV-2 and HCoV-OC43. Using DiMNF, a small molecule inhibitor of AHR, we observed that the drug selectively inhibits HCoV-OC43 infection but not SARS-CoV-2. Transcriptomic analysis in primary normal human bronchial epithelial cells revealed that DiMNF blocks HCoV-OC43 infection via basal activation of innate immune responses. Our findings highlight the potential of IGROV-1 cells as a valuable diagnostic and research tool to combat betacoronavirus diseases.

Indexed as

Coronavirus OC43, HumanCOVID-19Cell LineHumansReceptors, Aryl HydrocarbonSARS-CoV-2Receptors, Aryl HydrocarbonAHRbetacoronavirusCOVID-19DiMNFGenome-scale CRISPR screeningHCoV-OC43IGROV-1SARS-CoV-2

Identifiers

PMID37672505
PMCPMC10512916
OpenAlexW4386492894

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.