Systematic profiling of SARS-CoV-2-specific IgG epitopes at amino acid resolution

  1. Huan Qi
  2. Ming-liang Ma
  3. He-wei Jiang
  4. Jian-ya Ling
  5. Ling-yun Chen
  6. Hai-nan Zhang
  7. Dan-yun Lai
  8. Yang Li
  9. Zi-wen Guo
  10. Chuan-sheng Hu
  11. Shu-juan Guo
  12. Qing-feng Meng
  13. Yan Ren
  14. Xiao Yang
  15. Wei Wang
  16. Jie Zhou
  17. Xiao-dong Zhao
  18. Hua Li
  19. Sheng-ce Tao

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Abstract

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  1. Version published to 10.1038/s41423-021-00654-3
  2. ScreenIT

    SciScore for 10.1101/2020.09.08.20190496: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Serum collection: This study was approved by the Institutional Ethics Review Committee of Foshan Fourth Hospital, Foshan, China.
    Consent: The written informed consent was obtained from each patient.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    The samples, i. e., 1 µL for serum sample or α-His antibody and 400 ng for proteins enriched antibodies, were added per well.
    α-His
    suggested: None
    Software and Algorithms
    SentencesResources
    All the structural analyses were processed by using Pymol.
    Pymol
    suggested: (PyMOL, RRID:SCR_000305)
    All the Signal intensities were analyzed by the software GraphPad Prism version 7.0.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)

    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 10.1101/2020.09.08.20190496v1 on medRxiv