Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Tranposable elements modulate human mRNAs and lncRNAs via specific RNA-protein interactions.

ABSTRACT: Transposable elements (TEs) have significantly influenced the evolution of transcriptional regulatory networks in the human genome. Post-transcriptional regulation of human genes by TE-derived sequences has been observed in specific contexts, but has yet to be systematically and comprehensively investigated. Here, studied a collection of CLIP-Seq (CrossLinked ImmunoPrecipitation) experiments mapping the RNA binding sites for a diverse set of 46 human proteins across 68 experiments to explore the role of TEs in post-transcriptional regulation genome-wide via RNA-protein interactions. We detected widespread interactions between RNA binding proteins (RBPs) and various families of TE-derived sequence in the CLIP-Seq data. Alignment coverage clustered on specific positions of the TE consensus sequences, illuminating a diversity of TE-specific motifs for many RBPs. Evidence of binding and conservation of these motifs in the nonrepetitive transcriptome suggest that TEs have appropriated existing sequence preferences of the RBP. Upon depletion of the RBPs, transcripts possessing TE-derived binding sites were similarly regulated as those bound in nonrepetitive sequence. However, in a few cases the effect of RBP binding depended on the specific TE family boundM-bM-^@M-^Te.g., the ubiquitously expressed RBP HuR conferred opposite effects on stability to transcripts when bound to Alu elements versus other families. Our meta-analysis suggests a widespread role for TEs in shaping RNA-protein regulatory networks in the human genome. HuR formaldehyde RIP-Seq in K562 cells, with RIP and input sequenced in triplicate.

ORGANISM(S): Homo sapiens

SUBMITTER: David Kelley

PROVIDER: E-GEOD-61238 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Protein-RNA interactions are integral components of nearly every aspect of biology including regulation of gene expression, assembly of cellular architectures, and pathogenesis of human diseases. However, studies in the past few decades have only uncovered a small fraction of the vast landscape of the protein-RNA interactome in any organism, and even less is known about the dynamics of protein-RNA interactions under changing developmental and environmental conditions. Here, we describe the gPAR-CLIP (global photoactivatable-ribonucleoside-enhanced crosslinking and immunopurification) approach for capturing regions of the transcriptome bound by RNA-binding proteins (RBPs) in budding yeast. We report over 13,000 RBP crosslinking sites in untranslated regions (UTR) covering 72% of protein-coding transcripts encoded in the genome, confirming 3M-bM-^@M-^Y UTRs as major sites for RBP interaction. Comparative genomic analyses reveal that RBP crosslinking sites are highly conserved, and RNA folding predictions indicate that secondary structural elements are constrained by protein binding and may serve as generalizable modes of RNA recognition. Finally, 38% of 3M-bM-^@M-^Y UTR crosslinking sites show changes in RBP occupancy upon glucose or nitrogen deprivation, with major impacts on metabolic pathways as well as mitochondrial and ribosomal gene expression. Our study offers an unprecedented view of the pervasiveness and dynamics of protein-RNA interactions in vivo. Duplicate gPAR-CLIP and mRNA-seq libraries were sequenced from yeast strains for each of three conditions: log-phase growth, growth after 2 hour glucose starvation, and growth after 2 hour nitrogen starvation. Additional duplicate mRNA-seq libraries were sequenced from yeast strains grown in the absence of 4-thiouracil. gPAR-CLIP libraries were used to determine regions of mRNA bound by proteins. mRNA-seq libraries served as controls for mRNA abundance. A Puf3p PAR-CLIP library was sequenced to determine how well gPAR-CLIP captured the binding signatures of a single RNA-binding protein.

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Tranposable elements modulate human mRNAs and lncRNAs via specific RNA-protein interactions.

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