Rapid single-molecule detection of COVID-19 and MERS antigens via nanobody-functionalized organic electrochemical transistors

  1. Keying Guo
  2. Shofarul Wustoni
  3. Anil Koklu
  4. Escarlet Díaz-Galicia
  5. Maximilian Moser
  6. Adel Hama
  7. Ahmed A. Alqahtani
  8. Adeel Nazir Ahmad
  9. Fatimah Saeed Alhamlan
  10. Muhammad Shuaib
  11. Arnab Pain
  12. Iain McCulloch
  13. Stefan T. Arold
  14. Raik Grünberg
  15. Sahika Inal

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Abstract

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  1. Version published to 10.1038/s41551-021-00734-9
  2. ScreenIT

    SciScore for 10.1101/2020.11.12.20228874: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Clinical Sample Preparation and Testing: The samples (saliva samples and nasopharyngeal swabs) used in this study (Fig. 5) were collected from human subjects as part of registered protocols approved by the Institutional Review Board of King Faisal Specialist Hospital & Research Center and KAUST Institutional Biosafety and Bioethics Committee (IBEC).
    Consent: All volunteers provided signed consent to participate in the study.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableHuman serum from human male AB plasma was purchased from Sigma-Aldrich and used as-received.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Purification columns and SPR materials were purchased from GE Healthcare: HisTrap-HP 5 ml, StrepTrap-HP 5 ml, Superdex75 16/600, Biacore NTA SPR sensor chips (BR100034).
    GE Healthcare
    suggested: (GE Healthcare, RRID:SCR_000004)
    Protein sequences were reverse-translated and codon-optimized for expression in E. coli with an in-house Python script based on DNAChisel54.
    Python
    suggested: (IPython, RRID:SCR_001658)

    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 10.1101/2020.11.12.20228874v1 on medRxiv