Single cell RNA sequencing of 13 human tissues identify cell types and receptors of human coronaviruses

This article has been Reviewed by the following groups

Read the full article

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2020.02.16.951913: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data collection: The gene raw counts or normalized gene expression matrix for each single cell were downloaded from GEO (https://www.ncbi.nlm.nih.gov/geo/) or Human Cell Atlas (https://www.humancellatlas.org) database (Table S1).
    https://www.ncbi.nlm.nih.gov/geo/
    suggested: (Gene Expression Omnibus (GEO, RRID:SCR_005012)
    https://www.humancellatlas.org
    suggested: (Human Cell Atlas, RRID:SCR_016530)
    It was implemented by ‘‘FindVariableGenes’’ function in the Seurat package.
    Seurat
    suggested: (SEURAT, RRID:SCR_007322)
    Cell-cell interaction analysis: We conducted cell-cell interaction analysis utilizing cellphonedb function curated by CellPhoneDB database[24].
    CellPhoneDB
    suggested: (CellPhoneDB, RRID:SCR_017054)

    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.
    • 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.