APOBEC1 mediated C-to-U RNA editing: target sequence and trans-acting factor contribution to 177 RNA editing events in 119 murine transcripts in vivo

S Soleymanjahi, V Blanc, NO Davidson - RNA, 2021 - rnajournal.cshlp.org
RNA, 2021rnajournal.cshlp.org
Mammalian C-to-U RNA editing was described more than 30 yr ago as a single nucleotide
modification in small intestinal Apob RNA, later shown to be mediated by the RNA-specific
cytidine deaminase APOBEC1. Reports of other examples of C-to-U RNA editing, coupled
with the advent of genome-wide transcriptome sequencing, identified an expanded range of
APOBEC1 targets. Here we analyze the cis-acting regulatory components of verified murine
C-to-U RNA editing targets, including nearest neighbor as well as flanking sequence …
Mammalian C-to-U RNA editing was described more than 30 yr ago as a single nucleotide modification in small intestinal Apob RNA, later shown to be mediated by the RNA-specific cytidine deaminase APOBEC1. Reports of other examples of C-to-U RNA editing, coupled with the advent of genome-wide transcriptome sequencing, identified an expanded range of APOBEC1 targets. Here we analyze the cis-acting regulatory components of verified murine C-to-U RNA editing targets, including nearest neighbor as well as flanking sequence requirements and folding predictions. RNA secondary structure of the editing cassette was associated with editing frequency and exhibited minimal free energy values comparable to small nuclear RNAs. We summarize findings demonstrating the relative importance of trans-acting factors (A1CF, RBM47) acting in concert with APOBEC1. Cofactor dominance was associated with editing frequency, with RNAs targeted by both RBM47 and A1CF edited at a lower frequency than RBM47-dominant targets. Using this information, we developed a multivariable linear regression model to predict APOBEC1 dependent C-to-U RNA editing efficiency, incorporating factors independently associated with editing frequencies based on 103 Sanger-confirmed editing sites, which accounted for 84% of the observed variance. This model also predicted a composite score for available human C-to-U RNA targets, which again correlated with editing frequency.
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