SARS‑CoV-2 RBD219-N1C1: A yeast-expressed SARS-CoV-2 recombinant receptor-binding domain candidate vaccine stimulates virus neutralizing antibodies and T-cell immunity in mice

  1. Jeroen Pollet
  2. Wen-Hsiang Chen
  3. Leroy Versteeg
  4. Brian Keegan
  5. Bin Zhan
  6. Junfei Wei
  7. Zhuyun Liu
  8. Jungsoon Lee
  9. Rahki Kundu
  10. Rakesh Adhikari
  11. Cristina Poveda
  12. Maria Jose Villar
  13. Ana Carolina de Araujo Leao
  14. Joanne Altieri Rivera
  15. Zoha Momin
  16. Portia M. Gillespie
  17. Jason T. Kimata
  18. Ulrich Strych
  19. Peter J. Hotez
  20. Maria Elena Bottazzi

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Abstract

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  1. Version published to 10.1080/21645515.2021.1901545
  2. Version published to 10.1101/2020.11.04.367359v2 on bioRxiv
  3. ScreenIT

    SciScore for 10.1101/2020.11.04.367359: (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.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    The expression level of select colonies was identified by SDS-PAGE and immunoblotting using anti-SARS-CoV-2 antibodies (anti-SARS-CoV-2 spike rabbit monoclonal antibody, Sino Biological, Cat # 40150-R007), and research seed stocks of the highest expressing clones were frozen at −80 °C.
    anti-SARS-CoV-2
    suggested: None
    Subsequently, 1:6,000 diluted goat anti-mouse IgG HRP antibody (100 μL/well) was added in 0.1% BSA in PBST.
    anti-mouse IgG
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    2.6 Pseudovirus assay: Pseudovirus was prepared in HEK-293T cells by previously reported methods with modifications24.
    HEK-293T
    suggested: None
    Next, 100 μL of these sera-pseudovirus mixtures were added to 293T-hACE2 cells in 96-well poly-D-lysine coated culture plates.
    293T-hACE2
    suggested: None
    Software and Algorithms
    SentencesResources
    Gels were stained using Coomassie Blue and analyzed using a Bio-Rad G900 densitometer with Image Lab software.
    Image Lab
    suggested: (Image Lab Software, RRID:SCR_014210)

    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.

  4. Version published to 10.1101/2020.11.04.367359v1 on bioRxiv