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MBNL splicing activity depends on RNA binding site structural context.

ABSTRACT: Muscleblind-like (MBNL) proteins are conserved RNA-binding factors involved in alternative splicing (AS) regulation during development. While AS is controlled by distribution of MBNL paralogs and isoforms, the affinity of these proteins for specific RNA-binding regions and their location within transcripts, it is currently unclear how RNA structure impacts MBNL-mediated AS regulation. Here, we defined the RNA structural determinants affecting MBNL-dependent AS activity using both cellular and biochemical assays. While enhanced inclusion of MBNL-regulated alternative exons is controlled by the arrangement and number of MBNL binding sites within unstructured RNA, when these sites are embedded in a RNA hairpin MBNL binds preferentially to one side of stem region. Surprisingly, binding of MBNL proteins to RNA targets did not entirely correlate with AS efficiency. Moreover, comparison of MBNL proteins revealed structure-dependent competitive behavior between the paralogs. Our results showed that the structure of targeted RNAs is a prevalent component of the mechanism of alternative splicing regulation by MBNLs.

SUBMITTER: Taylor K

PROVIDER: S-EPMC6158504 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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MBNL splicing activity depends on RNA binding site structural context.

Taylor Katarzyna K Sznajder Lukasz J LJ Cywoniuk Piotr P Thomas James D JD Swanson Maurice S MS Sobczak Krzysztof K

Nucleic acids research 20180901 17

Muscleblind-like (MBNL) proteins are conserved RNA-binding factors involved in alternative splicing (AS) regulation during development. While AS is controlled by distribution of MBNL paralogs and isoforms, the affinity of these proteins for specific RNA-binding regions and their location within transcripts, it is currently unclear how RNA structure impacts MBNL-mediated AS regulation. Here, we defined the RNA structural determinants affecting MBNL-dependent AS activity using both cellular and bi ...[more]

PMID: 29955876

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Project description:BackgroundRNA-binding proteins (RBPs) play diverse roles in eukaryotic RNA processing. Despite their pervasive functions in coding and noncoding RNA biogenesis and regulation, elucidating the sequence specificities that define protein-RNA interactions remains a major challenge. Recently, CLIP-seq (Cross-linking immunoprecipitation followed by high-throughput sequencing) has been successfully implemented to study the transcriptome-wide binding patterns of SRSF1, PTBP1, NOVA and fox2 proteins. These studies either adopted traditional methods like Multiple EM for Motif Elicitation (MEME) to discover the sequence consensus of RBP's binding sites or used Z-score statistics to search for the overrepresented nucleotides of a certain size. We argue that most of these methods are not well-suited for RNA motif identification, as they are unable to incorporate the RNA structural context of protein-RNA interactions, which may affect to binding specificity. Here, we describe a novel model-based approach--RNAMotifModeler to identify the consensus of protein-RNA binding regions by integrating sequence features and RNA secondary structures.ResultsAs an example, we implemented RNAMotifModeler on SRSF1 (SF2/ASF) CLIP-seq data. The sequence-structural consensus we identified is a purine-rich octamer 'AGAAGAAG' in a highly single-stranded RNA context. The unpaired probabilities, the probabilities of not forming pairs, are significantly higher than negative controls and the flanking sequence surrounding the binding site, indicating that SRSF1 proteins tend to bind on single-stranded RNA. Further statistical evaluations revealed that the second and fifth bases of SRSF1octamer motif have much stronger sequence specificities, but weaker single-strandedness, while the third, fourth, sixth and seventh bases are far more likely to be single-stranded, but have more degenerate sequence specificities. Therefore, we hypothesize that nucleotide specificity and secondary structure play complementary roles during binding site recognition by SRSF1.ConclusionIn this study, we presented a computational model to predict the sequence consensus and optimal RNA secondary structure for protein-RNA binding regions. The successful implementation on SRSF1 CLIP-seq data demonstrates great potential to improve our understanding on the binding specificity of RNA binding proteins.

Project description:A combination of cDNA sequencing of the complete coding region, protein comparisons, binding site mapping, and electron microscopic imaging has permitted the formulation of a structural model of cytotactin. Cytotactin is a large extracellular matrix glycoprotein that displays a restricted tissue distribution during development. Although there appears to be a single cytotactin gene, multiple cytotactin polypeptides and mRNAs are detected in a variety of tissues. We report here the sequences and relationships of cDNAs that encode the complete amino acid sequences of two cytotactin polypeptides in chicken brain. The translated cDNA sequences agree with those obtained by direct analysis of cytotactin and fragments of the molecule. All regions of the polypeptides appear to be identical except for a 273 amino acid segment found in the larger but not in the smaller. At their amino termini, both polypeptides contain a cysteine-rich segment that probably includes those residues that link monomers into hexamers. This segment is followed by 13 epidermal growth factor-like (EGFL) repeats and then 8 consecutive segments that each resemble the type III repeats found in fibronectin. At their carboxyl termini, the polypeptides are similar to the beta and gamma chains of fibrinogen, including a calcium-binding segment. The additional sequence in the large polypeptide is inserted after the fifth type III repeat and includes three additional type III repeats. On RNA transfer blot analyses, cytotactin cDNA probes detected a 6.4-kilobase (kb) component in both brain and gizzard and larger mRNAs in both tissues, but those in gizzard were larger by about 1 kb than those in brain. A probe specific to the insert did not hybridize to the 6.4-kb mRNA in either tissue but detected the larger mRNAs in both tissues. At least a portion of the insert is thus present in both tissues, but there may be additional inserts in the gizzard mRNAs. The proposed model of cytotactin specifies the orientation of the polypeptides, the localization of interchain disulfide bonds, the structural elements constituting the thin and thick segments (EGFL repeats and type III repeats, respectively), the terminal fibrinogen-like nodular region, and the relative location of the cell-binding region.

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MBNL splicing activity depends on RNA binding site structural context.

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MBNL splicing activity depends on RNA binding site structural context.

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