Don’t go in circles: confounding factors in gene expression profiling

John Toubia, Vanessa Conn, Simon Conn

    Research output: Contribution to journalComment/debate

    4 Citations (Scopus)

    Abstract

    Quantification of gene expression is a crucial research tool in the life sciences, which makes it important to identify any factors that could compromise its accuracy. One of these factors are non-polyadenylated (poly(A)) transcripts, including circular RNAs (circRNAs) that can skew quantification of gene expression as they resemble messenger RNAs(mRNAs). Here, we highlight the impact circRNAs and other poly(A)transcripts have on gene expression profiling and the biological conclusions drawn from such experiments. We also propose easily adoptable strategies to increase the accuracy of gene expression quantification
    Original languageEnglish
    Article numbere97945
    Pages (from-to)e97945
    Number of pages7
    JournalEMBO Journal
    Volume37
    Issue number11
    DOIs
    Publication statusPublished - 1 Jun 2018

    Keywords

    • Genetics
    • circular RNAs
    • circRNAs
    • messenger RNAs
    • mRNAs
    • gene expression profiling

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