4.8 Article

A computationally-enhanced hiCLIP atlas reveals Staufen1-RNA binding features and links 3′ UTR structure to RNA metabolism

Journal

NUCLEIC ACIDS RESEARCH
Volume 51, Issue 8, Pages 3573-3589

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkad221

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The structure of mRNA molecules plays a crucial role in its interactions with RNA binding proteins (RBPs), but current experimental methods for studying these interactions are limited in sensitivity. In this study, the researchers extended the hiCLIP atlas of STAU1-bound duplexes by 10-fold through improved experimental assumptions and computational methods. They developed a computational pipeline called Tosca for processing and analyzing proximity ligation sequencing data, and used it to gain insights into the RNA selectivity of STAU1 and the effects of RBP-RNA structure interactions.
The structure of mRNA molecules plays an important role in its interactions with trans-acting factors, notably RNA binding proteins (RBPs), thus contributing to the functional consequences of this interplay. However, current transcriptome-wide experimental methods to chart these interactions are limited by their poor sensitivity. Here we extend the hiCLIP atlas of duplexes bound by Staufen1 (STAU1) similar to 10-fold, through careful consideration of experimental assumptions, and the development of bespoke computational methods which we apply to existing data. We present Tosca, a Nextflow computational pipeline for the processing, analysis and visualisation of proximity ligation sequencing data generally. We use our extended duplex atlas to discover insights into the RNA selectivity of STAU1, revealing the importance of structural symmetry and duplex-span-dependent nucleotide composition. Furthermore, we identify heterogeneity in the relationship between transcripts with STAU1-bound 3 ' UTR duplexes and metabolism of the associated RNAs that we relate to RNA structure: transcripts with short-range proximal 3 ' UTR duplexes have high degradation rates, but those with long-range duplexes have low rates. Overall, our work enables the integrative analysis of proximity ligation data delivering insights into specific features and effects of RBP-RNA structure interactions.

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