Comprehensive evaluation of ACE2 expression in female ovary by single-cell RNA-seq analysis

  1. Siming Kong
  2. Zhiqiang Yan
  3. Peng Yuan
  4. Xixi Liu
  5. Yidong Chen
  6. Ming Yang
  7. Wei Chen
  8. Shi Song
  9. Jie Yan
  10. Liying Yan
  11. Jie Qiao

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Abstract

Pneumonia induced by severe acute respiratory coronavirus 2 (SARS-CoV-2) via ACE2 receptor may affect many organ systems like lung, heart and kidney. An autopsy report revealed positive SARS-Cov-2 detection results in ovary, however, the developmental-stage-specific and cell-type-specific risk in fetal primordial germ cells (PGCs) and adult women ovary remained unclear. In this study, we used single-cell RNA-sequencing (scRNA-seq) datasets spanning several developmental stages of ovary including PGCs and cumulus-oocyte complex (COC) to investigate the potential risk of SARS-CoV-2 infection. We found that PGCs and COC exhibited high ACE2 expression. More importantly, the ratio of ACE2 -positive cells was sharply up-regulated in primary stage and ACE2 was expressed in all oocytes and cumulus cells in preovulatory stage, suggesting the possible risk of SARS-CoV-2 infection in follicular development. CatB/L, not TMPRSS2, was identified to prime for SARS-CoV-2 entry in follicle. Our findings provided insights into the potential risk of SARS-CoV-2 infection during folliculogenesis in adulthood and the possible risk in fetal PGCs.

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  1. ScreenIT

    SciScore for 10.1101/2021.02.23.432460: (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 variableWe collected the published scRNA-seq datasets from different scales in ovary, including female PGCs (GSE86146) and COC (GSE107746).

    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:
    • 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.

  2. Version published to 10.1101/2021.02.23.432460 on bioRxiv