Antibody landscape against SARS-CoV-2 reveals significant differences between non-structural/accessory and structural proteins

  1. Yang Li
  2. Zhaowei Xu
  3. Qing Lei
  4. Dan-yun Lai
  5. Hongyan Hou
  6. He-wei Jiang
  7. Yun-xiao Zheng
  8. Xue-ning Wang
  9. Jiaoxiang Wu
  10. Ming-liang Ma
  11. Bo Zhang
  12. Hong Chen
  13. Caizheng Yu
  14. Jun-biao Xue
  15. Hai-nan Zhang
  16. Huan Qi
  17. Shu-juan Guo
  18. Yandi Zhang
  19. Xiaosong Lin
  20. Zongjie Yao
  21. Huiming Sheng
  22. Ziyong Sun
  23. Feng Wang
  24. Xionglin Fan
  25. Sheng-ce Tao

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Abstract

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  1. Version published to 10.1016/j.celrep.2021.109391
  2. ScreenIT

    SciScore for 10.1101/2020.12.08.20246314: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Patients and samples: The study was approved by the Ethical Committee of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (ITJ-C20200128).
    Consent: Written informed consent was obtained from all participants enrolled in this study.
    RandomizationA pool of 50 randomly selected patient sera was used as a standard positive control.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Pearson correlation coefficient between two proteins or indicators and the corresponding p-value was calculated by SPSS software under the default parameters.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)
    Cluster analysis was performed by pheatmap package of R 42.
    pheatmap
    suggested: (pheatmap, RRID:SCR_016418)

    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.

  3. Version published to 10.1101/2020.12.08.20246314v1 on medRxiv