Prolonged activation of nasal immune cell populations and development of tissue-resident SARS-CoV-2-specific CD8+ T cell responses following COVID-19

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Abstract

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  1. SciScore for 10.1101/2021.04.19.21255727: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: After informed consent was obtained, longitudinal sampling was performed for the duration of the hospital admission, and one convalescent sample was obtained at the outpatient follow-up appointment, which was scheduled six weeks after hospital discharge.
    IRB: Ethical approval was obtained from the Medical Ethical Committee Leiden-Den Haag-Delft (NL73740.058.20).
    Field Sample Permit: Nasal cell collection and storage: Nasal cells were collected by gently scraping the nasal inferior turbinate using curettes (Rhino-Pro®, Arlington Scientific), as described previously42, and placing them in a tube containing pre-cooled 8mL sterile PBS containing 5mM EDTA (Life Technologies).
    Sex as a biological variableThese were all sixty years or older, and with a male:female ratio of 2:1, in order to match the patient population.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    FCS files were then normalized using the reference PBMCs and the CyTOFBatchAdjust package with 99 percentile scaling for each marker individually 50.
    CyTOFBatchAdjust
    suggested: None
    Clustering of cells into populations was done using hierarchical stochastic neighbor embedding (hSNE) or tSNE with Cytosplore software (v2.3.0, https://www.cytosplore.org/), using all markers minus EpCAM and cPARP 51.
    Cytosplore
    suggested: (Cytosplore Viewer, RRID:SCR_018330)

    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.