Type I Interferon Susceptibility Distinguishes SARS-CoV-2 from SARS-CoV

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Abstract

With the ongoing outbreak of COVID-19, differences between SARS-CoV-2 and the original SARS-CoV could be leveraged to inform disease progression and eventual treatment options. In addition, these findings could have key implications for animal model development as well as further research into how SARS-CoV-2 modulates the type I IFN response early during infection.

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  1. SciScore for 10.1101/2020.03.07.982264: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    RandomizationNo blinding was used in any sample collections, nor were samples randomized.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    The membranes were blocked for 1 h at room temperature with 5% skim milk and then incubated overnight at 4°C with appropriate primary antibody dilution: anti-STAT1 (1:1000, Cell Signaling), anti-pSTAT1 (1:1000, Cell Signaling) or anti-beta actin (1:5000, Invitrogen).
    anti-STAT1
    suggested: None
    anti-pSTAT1
    suggested: (Fluidigm Cat# 3153003A, RRID:AB_2811248)
    anti-beta actin
    suggested: None
    Then, the membranes were incubated with the recommended dilution of HRP-conjugated secondary antibody (goat anti-rabbit IgG HRP 1:10000, Invitrogen; goat anti-mouse IgG HRP 1:10000, Invitrogen) at room temperature for 1 h.
    anti-rabbit IgG
    suggested: None
    anti-mouse IgG
    suggested: (LSBio (LifeSpan Cat# LS-C149336-10000, RRID:AB_11143677)
    Following overnight incubation, membranes were probed with the following secondary antibodies in 5% (w/v) non-fat dry milk in TBST for 1 hr at room temperature: anti-rabbit or anti-mouse IgG-HRP conjugated antibody from sheep (both 1:10,000 GE Healthcare).
    anti-rabbit
    suggested: None
    anti-mouse IgG-HRP
    suggested: None
    The following primary antibodies were used: anti-pSTAT1 (Y701) (1:1000 9171L Cell Signaling Technologies), anti-STAT1 D1K9Y (1:1000 14994P Cell Signaling Technologies), anti-IFITM1 (1:1000 PA5-20989 Invitrogen), anti-SARS-CoV/CoV-2 Spike 1A9 (1:1000 GTX632604 GeneTex), and anti-β-Actin (1:1000 ab8227 Abcam).
    anti-pSTAT1 (Y701)
    suggested: None
    anti-STAT1 D1K9Y
    suggested: (Cell Signaling Technology Cat# 14994, RRID:AB_2737027)
    anti-IFITM1
    suggested: (LSBio (LifeSpan Cat# LS-C122003-100, RRID:AB_10799885)
    anti-SARS-CoV/CoV-2 Spike 1A9
    suggested: None
    anti-β-Actin
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    Calu3 2B4 cells were grown in DMEM with 10% defined fetal bovine serum, 1% sodium pyruvate (Gibco), and 1% antibiotic/antimitotic (Gibco).
    Calu3 2B4
    suggested: RRID:CVCL_YZ47)
    Infection and type I IFN pre- and post-treatment: Viral replication studes in Vero E6 and Calu3 2B4 cells were performed as previously described (37, 54).
    Vero E6
    suggested: None
    Software and Algorithms
    SentencesResources
    Phylogenetic Tree and Sequence Identity Heat Map: Heat maps were constructed from a set of representative group 2B coronaviruses by using alignment data paired with neighbor-joining phylogenetic trees built in Geneious (v.9.1.5).
    Geneious
    suggested: (Geneious, RRID:SCR_010519)

    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.