CRISPR-Cas3-based diagnostics for SARS-CoV-2 and influenza virus

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Abstract

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  1. SciScore for 10.1101/2020.06.02.20119875: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Collection of human clinical samples: Clinical nasopharyngeal and oropharyngeal swab samples from patients infected with SARS-CoV-2 were collected by IMSUT hospital, according to protocols that were approved by the Research Ethics Review Committee of the Institute of Medical Science, the University of Tokyo.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    Viral RNAs were purified from an infected TMPRSS2-expressing VeroE6 cell line using the QIAamp Viral RNA Mini Kit (QIAGEN) according to the manufacturer’s protocol.
    VeroE6
    suggested: JCRB Cat# JCRB1819, RRID:CVCL_YQ49)
    VeroE6/TMPRSS2 cells are available from the Japanese Collection of Research Bioresources Cell Bank in Japan (https://cellbank.nibiohn.go.jp/english/)
    VeroE6/TMPRSS2
    suggested: JCRB Cat# JCRB1819, RRID:CVCL_YQ49)
    Experimental Models: Organisms/Strains
    SentencesResources
    Total mouse genomic DNA from a C57BL/6 strain was used after purification (Maxwell RSC Cell DNA Purification Kit; Promega, Madison, Wisconsin)
    C57BL/6
    suggested: None
    Software and Algorithms
    SentencesResources
    Real-time rRT-PCR: Real-time rRT-PCR was used to determine SARS-CoV-2 RNA copy numbers using Reliance One-Step Multiplex RT-qPCR Supermix and CFX Connect (Bio-Rad Laboratories, Hercules, CA) according to the manufacturer’s protocols.
    Bio-Rad Laboratories
    suggested: (Bio-Rad Laboratories, RRID:SCR_008426)

    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.

    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.