A fast and sensitive absolute quantification assay for the detection of SARS-CoV-2 peptides using parallel reaction monitoring mass spectrometry

  1. Akshada Gajbhiye
  2. Atakan Nalbant
  3. Tiaan Heunis
  4. Frances Sidgwick
  5. Andrew Porter
  6. Yusri Taha
  7. Matthias Trost

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Abstract

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  1. Version published to 10.1016/j.jprot.2022.104664
  2. ScreenIT

    SciScore for 10.1101/2022.03.18.22272462: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    SARS-CoV-2 Spike Glycoprotein (Full-Length) expressed in CHO cells from Native Antigen, Synthetic Sputum from LGC and PolyQuant Cov-MS from PolyQuant were received as part of the Covid Moonshot Consortium.
    CHO
    suggested: CLS Cat# 603479/p746_CHO, RRID:CVCL_0213)
    Software and Algorithms
    SentencesResources
    MaxQuant 1.6.10.43 was used for peptide and protein identification [20] using UniprotKB/Swissprot databases for Homo Sapiens containing 42437 sequences downloaded on September 2020 and a combined viral database SARS and influenza viruses including the SARS-Cov-2 virus sequences.
    UniprotKB/Swissprot
    suggested: None

    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.

    Results from scite Reference Check: We found no unreliable references.

    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 10.1101/2022.03.18.22272462v1 on medRxiv