Evaluating angiotensin-converting enzyme 2-mediated SARS-CoV-2 entry across species

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Abstract

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  1. SciScore for 10.1101/2020.06.15.153916: (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 Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    The nucleoprotein (N) of SARS-CoV was detected for infection and replication of the virus using an N-specific polyclonal antibody (Sinobiological, China), and a donkey anti-rabbit IgG (H+L) labeled with Cy3 (Jacksion, USA) was used as the secondary antibody.
    anti-rabbit IgG
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    Cells and SARS-CoV-2: HEK293T cells cells were maintained in DMEM (Gibco, USA) with 10% fetal bovine serum (HyClone, USA).
    HEK293T
    suggested: None
    Software and Algorithms
    SentencesResources
    Sequence analysis: ACE2 sequences of 12 different species were acquired from NCBI and their alignment were assessed using the ClustalW method in Lasergene software (Version 7.1) (DNASTAR Inc., USA).
    ClustalW
    suggested: (ClustalW, RRID:SCR_017277)

    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: Please consider improving the rainbow (“jet”) colormap(s) used on pages 20 and 21. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


    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.