A Fast and Accessible Method for the Isolation of RNA, DNA, and Protein To Facilitate the Detection of SARS-CoV-2

  1. Jose Carlos Ponce-Rojas
  2. Michael S. Costello
  3. Duncan A. Proctor
  4. Kenneth S. Kosik
  5. Maxwell Z. Wilson
  6. Carolina Arias
  7. Diego Acosta-Alvear

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Abstract

Management of the coronavirus disease 2019 (COVID-19) pandemic requires widespread testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A main limitation for widespread SARS-CoV-2 testing is the global shortage of essential supplies, among them RNA extraction kits.

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  1. Version published to 10.1128/jcm.02403-20
  2. Version published to 10.1101/2020.06.29.178384v3 on bioRxiv
  3. Version published to 10.1101/2020.06.29.178384v2 on bioRxiv
  4. ScreenIT

    SciScore for 10.1101/2020.06.29.178384: (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
    Primary antibodies were diluted in 0.5% BSA-TBST as follows: anti-HSP-70 (Cell Signaling Technology 4872) 1:1,000; anti-LANA/ORF73 (Advanced Biotechnologies 13-210-100)
    anti-HSP-70 ( Cell Signaling Technology 4872
    suggested: None
    anti-LANA/ORF73
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    For ZIKV infections, HeLa cells were grown to 60% confluency and then infected with ZIKV at a multiplicity of infection (MOI) of 1.
    HeLa
    suggested: None
    Software and Algorithms
    SentencesResources
    Image post-processing was carried out in Photoshop CC (Adobe) using automatic contrast.
    Photoshop CC
    suggested: (Adobe Photoshop, RRID:SCR_014199)

    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.

    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.

  5. Version published to 10.1101/2020.06.29.178384v1 on bioRxiv