Impaired activation of transposable elements in SARS‐CoV‐2 infection

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Abstract

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  1. SciScore for 10.1101/2021.02.25.432821: (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
    Datasets: The original sequencing datasets for IAV infection in A549 cells and the Blanco-Melo et al datasets can be found on the NCBI Gene Expression Omnibus (GEO) server under the accession numbers GSE133329 and GSE147507, respectively.
    A549
    suggested: None
    Software and Algorithms
    SentencesResources
    Datasets: The original sequencing datasets for IAV infection in A549 cells and the Blanco-Melo et al datasets can be found on the NCBI Gene Expression Omnibus (GEO) server under the accession numbers GSE133329 and GSE147507, respectively.
    Gene Expression Omnibus
    suggested: (Gene Expression Omnibus (GEO, RRID:SCR_005012)
    , 2020): Preprocessing and alignment: Raw reads from GSE147507 and GSE133329 were trimmed to remove Illumina adapters using the Trimmomatic software (Bolger et al., 2014) version 0.39.
    Trimmomatic
    suggested: (Trimmomatic, RRID:SCR_011848)
    We used the STAR aligner version 2.7.1a (Dobin et al., 2013) to align raw reads to human RefSeq reference genome (GRCh38).
    RefSeq
    suggested: (RefSeq, RRID:SCR_003496)
    For ChIP-Seq data, alignment with STAR was followed by filtering out of non-uniquely mapped reads.
    STAR
    suggested: (STAR, RRID:SCR_015899)
    This was followed by differential expression analysis using DESeq2 (Love et al., 2014).
    DESeq2
    suggested: (DESeq, RRID:SCR_000154)
    To quantify gene expression and to determine the locations of individual TEs that change in expression we used featureCounts v2.0.0 (Jin et al., 2015; Liao et al., 2014) from the Subread package which uses only uniquely mapped reads.
    featureCounts
    suggested: (featureCounts, RRID:SCR_012919)
    Subread
    suggested: (Subread, RRID:SCR_009803)
    The list of epifactors was downloaded from https://epifactors.autosome.ru/ (Medvedeva et al., 2015)
    https://epifactors.autosome.ru/
    suggested: (EpiFactors , RRID:SCR_016956)

    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.