Assessment of SARS-CoV-2 specific CD4(+) and CD8 (+) T cell responses using MHC class I and II tetramers

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.07.08.194209: (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.

    Table 2: Resources

    Antibodies
    SentencesResources
    Briefly, 20 µL of magnetic beads linked with an anti HLA-ABC antibody (provided in the kit) were added into sample wells of a V-bottom 96-well microtiter plate with 5 µL of the Tetramer peptide exchange solution (from the 52 µL total volume).
    anti HLA-ABC
    suggested: None
    Following a 150 µL wash with Peptide Exchange Assay Buffer #2 (provided in the kit, must be diluted 10x before use) the exchanged MHC Class II molecules were stained with 25 µL of Exiting Peptide Antibody-FITC (provided in the kit).
    Antibody-FITC
    suggested: (Alomone Labs Cat# AAR-007-F, RRID:AB_2756537)
    Software and Algorithms
    SentencesResources
    In Silico prediction of peptide binding affinities for MHC molecules: All of the theoretical binding affinities were derived from the Immune Epitope Database (IEDB) web resource funded by NIAID.
    NIAID
    suggested: (NIAID, RRID:SCR_016598)

    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.
    • No funding statement was detected.
    • 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.