Evidence map›Paper›PMID 34394046›Full record

ArticleFrontiers in microbiology2021

Generation of a Sleeping Beauty Transposon-Based Cellular System for Rapid and Sensitive Screening for Compounds and Cellular Factors Limiting SARS-CoV-2 Replication.

Marek Widera, Alexander Wilhelm, Tuna Toptan, Johanna M Raffel, Eric Kowarz, Fabian Roesmann, Finn Grözinger, Anna Lena Siemund, Vanessa Luciano, Marius Külp and 5 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

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  19. Frontiers in pharmacology · 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

15 authors.

Marek WideraInstitute for Medical Virology, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany.
Alexander WilhelmInstitute for Medical Virology, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany.
Tuna ToptanInstitute for Medical Virology, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany.
Johanna M RaffelInstitute for Medical Virology, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany.
Eric KowarzInstitute of Pharmaceutical Biology, Goethe University, Frankfurt am Main, Germany.
Fabian RoesmannInstitute for Medical Virology, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany.
Finn GrözingerInstitute for Medical Virology, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany.
Anna Lena SiemundInstitute of Pharmaceutical Biology, Goethe University, Frankfurt am Main, Germany.
Vanessa LucianoInstitute of Pharmaceutical Biology, Goethe University, Frankfurt am Main, Germany.
Marius KülpInstitute of Pharmaceutical Biology, Goethe University, Frankfurt am Main, Germany.
Jennifer ReisInstitute of Pharmaceutical Biology, Goethe University, Frankfurt am Main, Germany.
Silvia BracharzInstitute of Pharmaceutical Biology, Goethe University, Frankfurt am Main, Germany.
Christiane PallasInstitute for Medical Virology, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany.
Sandra CiesekInstitute for Medical Virology, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany.
Rolf MarschalekInstitute of Pharmaceutical Biology, Goethe University, Frankfurt am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the acute respiratory disease COVID-19, which has become a global concern due to its rapid spread. The common methods to monitor and quantitate SARS-CoV-2 infectivity in cell culture are so far time-consuming and labor-intensive. Using the Sleeping Beauty transposase system, we generated a robust and versatile cellular infection model that allows SARS-CoV-2 infection experiments compatible for high-throughput and live cell imaging. The model is based on lung derived A549 cells, which show a profound interferon response and convenient cell culture characteristics. ACE2 and TMPRSS2 were introduced for constitutive expression (A549-AT). Subclones with varying levels of ACE2/TMPRSS2 were screened for optimal SARS-CoV-2 susceptibility. Furthermore, extensive evaluation demonstrated that SARS-CoV-2 infected A549-AT cells were distinguishable from mock-infected cells and already showed approximately 12 h post infection a clear signal to noise ratio in terms of cell roughness, fluorescence and a profound visible cytopathic effect. Moreover, due to the high transfection efficiency and proliferation capacity, Sleeping Beauty transposase-based overexpression cell lines with a second inducible fluorescence reporter cassette (eGFP) can be generated in a very short time, enabling the investigation of host and restriction factors in a doxycycline-inducible manner. Thus, the novel model cell line allows rapid and sensitive monitoring of SARS-CoV-2 infection and the screening for host factors essential for viral replication.

Indexed as

corona virusCOVID-19CPEdrug screeninghigh throughputinfection modellive cell imagingSARS-CoV-2

Identifiers

PMID34394046
PMCPMC8362758

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Registered trials

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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.