Circular RNAs (circRNAs) generated via back-splicing are enhanced by flanking complementary sequences. Expression levels of circRNAs vary under different conditions, suggesting participation of protein factors in their biogenesis. Using genome-wide siRNA screening that targets all human unique genes and an efficient circRNA expression reporter, we identify double-stranded RNA-binding domain containing immune factors NF90/NF110 as key regulators in circRNA biogenesis. NF90/NF110 promote circRNA production in the nucleus by associating with intronic RNA pairs juxtaposing the circRNA-forming exon(s); they also interact with mature circRNAs in the cytoplasm. Upon viral infection, circRNA expression is decreased, in part owing to the nuclear export of NF90/NF110 to the cytoplasm. Meanwhile, NF90/NF110 released from circRNP complexes bind to viral mRNAs as part of their functions in antiviral immune response. Our results therefore implicate a coordinated regulation of circRNA biogenesis and function by NF90/NF110 in viral infection.

Highlights d circRNAs are globally degraded by activated RNase L upon viral infection d Many circRNAs tend to form 16-26 bp duplexes and act as endogenous PKR inhibitors d The RNase L-mediated circRNA degradation is required for PKR activation d circRNA reduction and aberrant PKR activation are found in autoimmune disease SLE

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N-methyladenosine (mA) and adenosine-to-inosine (A-to-I) editing are two of the most abundant RNA modifications, both at adenosines. Yet, the interaction of these two types of adenosine modifications is largely unknown. Here we show a global A-to-I difference between mA-positive and mA-negative RNA populations. Both the presence and extent of A-to-I sites in mA-negative RNA transcripts suggest a negative correlation between mA and A-to-I. Suppression of mA-catalyzing enzymes results in global A-to-I RNA editing changes. Further depletion of mA modification increases the association of mA-depleted transcripts with adenosine deaminase acting on RNA (ADAR) enzymes, resulting in upregulated A-to-I editing on the same mA-depleted transcripts. Collectively, the effect of mA on A-to-I suggests a previously underappreciated interplay between two distinct and abundant RNA modifications, highlighting a complex epitranscriptomic landscape.

Sequences of circular RNAs (circRNAs) produced from back-splicing of exon(s) completely overlap with those from cognate linear RNAs transcribed from the same gene loci with the exception of their back-splicing junction (BSJ) sites. Therefore, examination of global circRNA expression from RNA-seq datasets generally relies on the detection of RNA-seq fragments spanning BSJ sites, which is different from the quantification of linear RNA expression by normalized RNA-seq fragments mapped to whole gene bodies. Thus, direct comparison of circular and linear RNA expression from the same gene loci in a genome-wide manner has remained challenging. Here, we update the previously-reported CIRCexplorer pipeline to version 3 for circular and linear RNA expression analysis from ribosomal-RNA depleted RNA-seq (CIRCexplorer3-CLEAR). A new quantitation parameter, fragments per billion mapped bases (FPB), is applied to evaluate circular and linear RNA expression individually by fragments mapped to circRNA-specific BSJ sites or to linear RNA-specific splicing junction (SJ) sites. Comparison of circular and linear RNA expression levels is directly achieved by dividing FPBcirc by FPBlinear to generate a CIRCscore, which indicates the relative circRNA expression level using linear RNA expression level as the background. Highly-expressed circRNAs with low cognate linear RNA expression background can be readily identified by CIRCexplorer3-CLEAR for further investigation. CIRCexplorer3-CLEAR is publically available at https://github.com/YangLab/CLEAR.

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