5,624 research outputs found

    CLIP and complementary methods

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    RNA molecules start assembling into ribonucleoprotein (RNP) complexes during transcription. Dynamic RNP assembly, largely directed by cis-acting elements on the RNA, coordinates all processes in which the RNA is involved. To identify the sites bound by a specific RNA-binding protein on endogenous RNAs, cross-linking and immunoprecipitation (CLIP) and complementary, proximity-based methods have been developed. In this Primer, we discuss the main variants of these protein-centric methods and the strategies for their optimization and quality assessment, as well as RNA-centric methods that identify the protein partners of a specific RNA. We summarize the main challenges of computational CLIP data analysis, how to handle various sources of background and how to identify functionally relevant binding regions. We outline the various applications of CLIP and available databases for data sharing. We discuss the prospect of integrating data obtained by CLIP with complementary methods to gain a comprehensive view of RNP assembly and remodelling, unravel the spatial and temporal dynamics of RNPs in specific cell types and subcellular compartments and understand how defects in RNPs can lead to disease. Finally, we present open questions in the field and give directions for further development and applications

    Terrae Incognitae: Integrative Genomic Analysis of Hnrnp L Splicing Regulation

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    Alternative splicing is a critical component of human gene control that generates functional diversity from a limited genome. Defects in alternative splicing are associated with disease in humans. Alternative splicing is regulated developmentally and physiologically by the combinatorial actions of cis- and trans-acting factors, including RNA binding proteins that regulate splicing through sequence-specific interactions with pre-mRNAs. In T cells, the splicing regulator hnRNP L is an essential factor that regulates alternative splicing of physiologically important mRNAs, however the broader physical and functional impact of hnRNP L remains unknown. In this dissertation, I present analysis of hnRNP L-RNA interactions with CLIP-seq, which identifies transcriptome-wide binding sites and uncovers novel functional targets. I then use functional genomics studies to define pre-mRNA processing alterations induced by hnRNP L depletion, chief among which is cassette-type alternative splicing. Finally, I use integrative genomic analysis to identify a direct role for hnRNP L in repression of exon inclusion and an indirect role for enhancing exon inclusion that supports a novel regulatory interplay between hnRNP L and chromatin. In two appendices, I present CLIP-seq studies of two additional RNA binding proteins: the splicing factor CELF2 and the RNA helicase DDX17. In conclusion, I provide comparisons of these three CLIP-seq studies, providing high-level insights into the capabilities and limitations of CLIP-seq. In sum, this dissertation expands our knowledge of hnRNP L splicing control in the context of broader studies of RNA binding proteins in multiple cell types and conditions

    Fox-1 family of RNA-binding proteins

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    The Fox-1 family of RNA-binding proteins are evolutionarily conserved regulators of tissue-specific alternative splicing in metazoans. The Fox-1 family specifically recognizes the (U)GCAUG stretch in regulated exons or in flanking introns, and either promotes or represses target exons. Recent unbiased bioinformatics analyses of alternatively spliced exons and comparison of various vertebrate genomes identified the (U)GCAUG stretch as a highly conserved and widely distributed element enriched in intronic regions surrounding exons with altered inclusion in muscle, heart, and brain, consistent with specific expression of Fox-1 and Fox-2 in these tissues. Global identification of Fox-2 target RNAs in living cells revealed that many of the Fox-2 target genes themselves encode splicing regulators. Further systematic elucidation of target genes of the Fox-1 family and other splicing regulators in various tissues will lead to a comprehensive understanding of splicing regulatory networks

    Genome-Wide Decoding of mRNP and miRNA Maps

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    The limited number of primary transcripts in the genome has promoted interest in the possibility that much of the complexity in the regulation of gene expression may be determined by RNA regulation controlled by RNA-binding proteins (RNABPs) and/or microRNAs (miRNAs). However, applying biochemical methods to understand such interactions in living tissues is major challenge. Here we developed a genome-wide means of mapping messenger ribonucleoprotein (mRNP) sites in vivo, by high-throughput sequencing of RNA isolated by crosslinking immunoprecipitation (HITS-CLIP). HITS-CLIP analysis of the neuron-specific splicing factor Nova provides genome-wide maps of Nova-RNA interactions in vivo and leads to a new finding that Nova may regulate the processesing of some miRNAs. Furthermore, HITS-CLIP analysis is extended to the problem of identifying miRNA targets, for which prediction is a major challenge since miRNA activity requires base pairing through only 6-8 Ć¢ā‚¬Å“seedĆ¢ā‚¬ nucleotides. By generating crosslinking of native Argonaute (Ago) protein-RNA complexes in mouse brain, Ago HITS-CLIP produced two simultaneous datasetsĆ¢ā‚¬ā€Ago-miRNA and Ago-mRNA binding sitesĆ¢ā‚¬ā€that were combined with bioinformatic analysis to identify miRNA-target mRNA interaction sites. We validated genome-wide interaction maps for miR-124, and generated additional maps for the 20 most abundant miRNAs present in P13 mouse brain. We also found that the relatively large number of Ago proteins bind in coding sequence, as well as introns, suggesting unexplored functions for miRNAs. Not all Ago mRNA clusters correspond to known seed sequence, leading to the discovery of putative new rules for miRNA-mRNA interactions. HITS-CLIP provides a general plaform to identify functional mRNP and miRNA binding sites in vivo and a solution to determining precise sequences for targeting clinically relevant sites of RNA regulation. In addition, overlaying mRNP maps with miRNA maps will be informative for the understanding of RNA regulations and complexity
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