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In Vitro ICLIP-based Modeling Uncovers How the Splicing Factor U2AF2 Relies on Regulation by Cofactors

Overview
Journal Genome Res
Specialty Genetics
Date 2018 Apr 13
PMID 29643205
Citations 39
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Abstract

Alternative splicing generates distinct mRNA isoforms and is crucial for proteome diversity in eukaryotes. The RNA-binding protein (RBP) U2AF2 is central to splicing decisions, as it recognizes 3' splice sites and recruits the spliceosome. We establish "in vitro iCLIP" experiments, in which recombinant RBPs are incubated with long transcripts, to study how U2AF2 recognizes RNA sequences and how this is modulated by -acting RBPs. We measure U2AF2 affinities at hundreds of binding sites and compare in vitro and in vivo binding landscapes by mathematical modeling. We find that -acting RBPs extensively regulate U2AF2 binding in vivo, including enhanced recruitment to 3' splice sites and clearance of introns. Using machine learning, we identify and experimentally validate novel -acting RBPs (including FUBP1, CELF6, and PCBP1) that modulate U2AF2 binding and affect splicing outcomes. Our study offers a blueprint for the high-throughput characterization of in vitro mRNP assembly and in vivo splicing regulation.

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References
1.
Soares L, Zanier K, Mackereth C, Sattler M, Valcarcel J . Intron removal requires proofreading of U2AF/3' splice site recognition by DEK. Science. 2006; 312(5782):1961-5. DOI: 10.1126/science.1128659. View

2.
Jens M, Rajewsky N . Competition between target sites of regulators shapes post-transcriptional gene regulation. Nat Rev Genet. 2014; 16(2):113-26. DOI: 10.1038/nrg3853. View

3.
Lambert N, Robertson A, Jangi M, McGeary S, Sharp P, Burge C . RNA Bind-n-Seq: quantitative assessment of the sequence and structural binding specificity of RNA binding proteins. Mol Cell. 2014; 54(5):887-900. PMC: 4142047. DOI: 10.1016/j.molcel.2014.04.016. View

4.
Mackereth C, Simon B, Sattler M . Extending the size of protein-RNA complexes studied by nuclear magnetic resonance spectroscopy. Chembiochem. 2005; 6(9):1578-84. DOI: 10.1002/cbic.200500106. View

5.
Raue A, Kreutz C, Maiwald T, Bachmann J, Schilling M, Klingmuller U . Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood. Bioinformatics. 2009; 25(15):1923-9. DOI: 10.1093/bioinformatics/btp358. View