Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia

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Abstract

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  1. SciScore for 10.1101/2020.08.05.238188: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Human subjects: All human subjects research was approved by the Northwestern University Institutional Review Board.
    Consent: All subjects or their surrogates provided informed consent.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    FASTQ files were generated using bcl2fastq (Illumina).
    bcl2fastq
    suggested: (bcl2fastq , RRID:SCR_015058)
    0.6.4 and aligned to the hybrid genome described above using STAR 2.6.1d [47]
    STAR
    suggested: (STAR, RRID:SCR_015899)
    Gene-level assignment was then performed using featureCounts 1.6.4 [48]
    featureCounts
    suggested: (featureCounts, RRID:SCR_012919)
    Data was processed using Scanpy v1.5.1 [52], doublets were detected with scrublet v0.2.1 [53] and removed, ribosomal genes were removed and multisample integration was performed with BBKNN v1.3.12 [54]
    BBKNN
    suggested: None
    Computations were automated with snakemake v5.5.4 [56].
    snakemake
    suggested: (Snakemake, RRID:SCR_003475)
    Deconvolution of bulk RNA-seq alveolar macrophage signatures was performed using AutoGeneS v1.0.3[57] and signatures derived from integrated single cell RNA-Seq object.
    AutoGeneS
    suggested: None
    Visualization: All plotting was performed using ggplot2 version 3.3.1, with the exception of heatmaps, which were generated using pheatmap version 1.0.12.
    ggplot2
    suggested: (ggplot2, RRID:SCR_014601)
    pheatmap
    suggested: (pheatmap, RRID:SCR_016418)
    Figure layouts were generated using patchwork version 1.01 and edited in Adobe Illustrator 2020.
    Adobe Illustrator
    suggested: (Adobe Illustrator, RRID:SCR_010279)

    Results from OddPub: Thank you for sharing your data.


    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.