A blueprint for academic laboratories to produce SARS-CoV-2 quantitative RT-PCR test kits

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.07.29.20163949: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power AnalysisCells were lysed on ice for 25 min with a QSonica CL-18 sonicator operating at 40% power (15 s on, 45 s off).
    Sex as a biological variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    A panel of reactions was performed in which various templates were used: synthetic SARS-CoV-2 RNA (ATCC #VR-3276SD), HEK293T cell RNA (containing RNase P RNA) generated in-house by TRIzol (Invitrogen #15596026) extraction of HEK293T cells grown to 60% confluency, a mixture of SARS-CoV-2 RNA and HEK293T cell RNA, nuclease-free water (negative, no template control), or SARS-CoV-2 plasmid (2019-nCoV_N_Positive Control, IDT #10006625, 10,000-50,000 copies/rxn).
    HEK293T
    suggested: None
    Software and Algorithms
    SentencesResources
    Multiplex assay interpretation: A MATLAB script (https://github.com/rmannino3/COVID19DataAnalysis) was written to interpret the results of RT-qPCR assays conducted with GT multiplexed (FAM/HEX) primers and probes based on 96-well data exported from QuantStudio 6 and StepOne Plus qPCR instruments.
    MATLAB
    suggested: (MATLAB, RRID:SCR_001622)
    Inhibition of RNase A by GT-rRI was assessed by adapting a published method (54), namely, monitoring a reduction in RNase A (Thermo Fisher Scientific# EN0531)-catalyzed hydrolysis of 1 mM cytidine 2’:3’-cyclic monophosphate (cCMP) (Sigma # C9630) in 100 mM Tris-acetate, pH 6.5, 1 mM EDTA, 5 mM DTT at room temperature.
    Thermo Fisher Scientific#
    suggested: None

    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 did not find any issues relating to the usage of bar graphs.


    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.

    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.