bioRxivMolecular BiologyPreprint
RNA G-quadruplexes mediate cooperativity in HNRNPH binding and splicing regulation
Kerstin Tretow, Mario Keller, Mikhail V. MesitoviD, Miona ĆorovićiD, Mirko Brueggemann, Jonas Busam, Farica ZhuangiD, Nadine KörteliD, Nicolás Melchior, Anke BuschiD, Simon BrauniD, Nadja HellmanniD, Heike Hänel, Pol Basenius, S. Strand, Yoseph BarashiD, Stefan LegewieiD, Friederike SchmidiD, Julian KönigiD, Kathi ZarnackiD
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Abstract
Alternative splicing, regulated by RNA-binding proteins (RBPs), enables the generation of diverse transcript isoforms critical for cellular function. However, how RNA secondary structure impacts RBP binding and function remains poorly understood. Here, we unravel how RNA G-quadruplexes (rG4s) facilitate cooperativity in splicing regulation by the RBP heterogeneous nuclear ribonucleoprotein H (HNRNPH). Through high-throughput in vivo and in vitro studies combined with theoretical modeling, we dissect how rG4s mediate cooperative HNRNPH binding to RNA, ultimately modulating the splicing of hundreds of exons. rG4 unfolding by HNRNPH exposes multiple G-rich binding sites, thereby establishing indirect cooperativity, which is further amplified to achieve switch-like splicing regulation. HNRNPH-mediated regulation is evident in breast cancer patients, with tumors showing rG4-disrupting variants and global HNRNPH alterations, driving distinct splicing patterns that distinguish tumor subtypes. Overall, our findings offer valuable insights into the mechanistic role of RNA secondary structures in cooperative RBP binding and splicing regulation and highlight the clinical relevance of HNRNPH-dependent splicing in cancer. HighlightsO_LIHundreds of cassette exons are cooperatively regulated by HNRNPH. C_LIO_LIUnfolding of RNA G-quadruplexes (rG4s) at HNRNPH binding sites facilitates indirect cooperativity in RNA binding. C_LIO_LIMulti-step splicing amplifies the response into highly switch-like regulation. C_LIO_LIrG4-disrupting variants and changing HNRNPH expression are associated with breast cancer phenotypes. C_LI
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
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