The SARS-CoV-2 receptor ACE2 expression of maternal-fetal interface and fetal organs by single cell transcriptome study

  1. Mengmeng Li
  2. Liang Chen
  3. Chenglong Xiong
  4. Xiangjie Li

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Abstract

Recent studies have demonstrated that SARS-CoV-2 cell entry depends on both ACE2 and TMPRSS2 genes (DOI: 10.1016/j.cell.2020.02.052), but our current work only focus on ACE2, which is insufficient to support the conclusion of this paper. So the authors have withdrawn their manuscript whilst they perform additional experiments and analysis to test some of their conclusions further. Therefore, the authors do not wish this work to be cited as reference for the project.

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  1. ScreenIT

    SciScore for 10.1101/2020.02.27.967760: (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

    No key resources detected.

    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:
    • No conflict of interest statement was detected. If there are no conflicts, we encourage authors to explicit state so.
    • 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.

  2. Version published to 10.1101/2020.02.27.967760 on bioRxiv