Intracellular Flow Cytometry Complements RT-qPCR Detection of Circulating SARS-CoV-2 Variants of Concern

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Abstract

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  1. SciScore for 10.1101/2022.02.02.478775: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line AuthenticationContamination: 2.1 Cell lines and virus strains: Cell lines: African green monkey kidney cells (Vero E6 cells) were obtained from ATCC (CRL-1586) (Manassas, VA, USA) as mycoplasma-free stocks and were grown in Dulbecco’s Modified Eagle Medium (DMEM) (Thermo Fisher Scientific (TFS), Merelbeke, Belgium) supplemented with 10 % fetal bovine serum (FBS), 2 mM L-glutamine (TFS) and 0.075 % sodium-bicarbonate (TFS).

    Table 2: Resources

    Antibodies
    SentencesResources
    goat anti-Rabbit IgG monoclonal antibody was from Cell Signaling Technologies (MA, USA; Cat. n° 4414).
    goat anti-Rabbit IgG monoclonal antibody
    suggested: None
    anti-Rabbit IgG
    suggested: (Cell Signaling Technology Cat# 4414, RRID:AB_10693544)
    Samples were washed twice with Perm/Wash buffer before the addition of the primary (anti-Nucleocapsid) antibody (0.3 μg per sample).
    anti-Nucleocapsid
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    To determine replication efficiency, the different SARS-CoV-2 strains were added to Vero E6 cells at an MOI of 0.02, as determined by end-point dilution titration on Vero E6 cells and calculated by the tissue culture infectious dose 50 (TCID50) method of Reed and Muench (5).
    Vero E6
    suggested: None
    Software and Algorithms
    SentencesResources
    Acquisition of all samples was done on a BD FACSCelesta flow cytometer (BD Biosciences) with BD FACSDiva v8.0.1 software.
    BD FACSDiva
    suggested: (BD FACSDiva Software, RRID:SCR_001456)
    Flow cytometric data were analyzed in FlowJo v10.1 (Tree Star).
    FlowJo
    suggested: (FlowJo, RRID:SCR_008520)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.


    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.