Post-transcriptional regulation of human endogenous retroviruses by RNA-Binding Motif Protein 4, RBM4

Abstract

The human genome encodes for over 1,500 RNA-binding proteins (RBPs), which coordinate regulatory events on RNA transcripts (Gerstberger et al., 2014). Most studies of RBPs concentrate on their action on mRNAs that encode protein, which constitute a minority of the transcriptome. A widely neglected subset of our transcriptome derives from integrated retroviral elements termed endogenous retroviruses (ERVs) that comprise ~8% of the human genome. Some ERVs have been shown to be transcribed under physiological and pathological conditions suggesting that sophisticated regulatory mechanisms to coordinate and prevent their ectopic expression exist. However, it is unknown whether RBPs and ERV transcripts directly interact to provide a post-transcriptional layer of regulation. Here, we implemented a computational pipeline to determine the correlation of expression between individual RBPs and ERVs from single-cell or bulk RNA sequencing data. One of our top candidates for an RBP negatively regulating ERV expression was RNA-Binding Motif Protein 4 (RBM4). We used PAR-CLIP to demonstrate that RBM4 indeed bound ERV transcripts at CGG consensus elements. Loss of RBM4 resulted in elevated transcript level of bound ERVs of the HERV-K and -H families, as well as increased expression of HERV-K envelope protein. We pinpointed RBM4 regulation of HERV-K to a CGG-containing element that is conserved in the long terminal repeats (LTRs) of HERV-K-10 and -K-11, and validated the functionality of this site using reporter assays. In summary, we identified RBPs as potential regulators of ERV function and demonstrate a new role for RBM4 in controlling ERV expression. Significance StatementThe expression of endogenous retroviruses (ERVs) appears to have broad impact on human biology. Nevertheless, only a handful of transcriptional regulators of ERV expression are known and to our knowledge no RNA-binding proteins (RBPs) were yet implicated in positive or negative post-transcriptional regulation of ERVs. We implemented a computational pipeline that allowed us to identify RBPs that modulate ERV expression levels. Experimental validation of one of the prime candidates we identified, RBM4, showed that it indeed bound RNAs made from ERVs and negatively regulated the levels of those RNAs. We hereby identify a new layer of ERV regulation by RBPs.