Allelic gene polymorphisms suspected to diversify the individual early metabolic response upon influenza H3N2 and SARS-CoV-2 infections

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Abstract

In this brief report, we point to virus infection time-dependent transcript levels of polymorphic ASMTL genes in human nasal epithelial cells from seven cell origins. Our observations encourage focused top-down and hypothesis-driven studies in support of more efficient allelic genotyping to identify targets for early resilience prediction.

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  1. SciScore for 10.1101/2022.05.05.490776: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.


    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.
    • No funding statement was detected.
    • No protocol registration statement was detected.

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


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