Partial resistance of SARS-CoV-2 Delta variants to vaccine-elicited antibodies and convalescent sera

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Abstract

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  1. SciScore for 10.1101/2021.05.14.444076: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: Human Sera and monoclonal antibodies: Convalescent sera and sera from BNT162b2 or Moderna-vaccinated individuals were collected on day 28 following the second immunization at the NYU Vaccine Center with written consent under IRB approved protocols (IRB 18-02035 and IRB 18-02037).
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    , anti-p24 mAb (AG3.0) and anti-GAPDH mAb (Life Technologies) followed by goat anti-mouse HRP-conjugated second antibody (Sigma) as previously described [22].
    anti-p24
    suggested: None
    anti-GAPDH
    suggested: None
    anti-mouse
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    Cells: 293T cells were cultured in Dulbecco’s modified Eagle medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% penicillin/streptomycin (P/S) at 37°C in 5% CO2.
    293T
    suggested: None
    To determine neutralizing antibody titers, sera or mAbs were serially diluted 2-fold and then incubated with pseudotyped virus (approximately 2.5 × 107 cps) for 30 minutes at room temperature and then added to ACE2.293T cells.
    ACE2.293T
    suggested: None
    Software and Algorithms
    SentencesResources
    Quantification and Statistical Analysis: All experiments were in technical duplicates or triplicates and the data were analyzed using GraphPad Prism 8.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)
    3D view of protein was obtained using PyMOL.
    PyMOL
    suggested: (PyMOL, RRID:SCR_000305)

    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.

    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.