The regulatory impact of RNA-binding proteins on microRNA targeting
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE115646 | GEO | 2021/07/09
REPOSITORIES: GEO
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Project description:In all biological systems, RNAs are associated with RNA-binding proteins (RBPs), forming complexes that control gene regulatory mechanisms, from RNA synthesis to decay. In mammalian mitochondria, post-transcriptional regulation of gene expression is conducted by mitochondrial RBPs (mt-RBPs) at various stages of mt-RNA metabolism, including polycistronic transcript production, its processing into individual transcripts, mt-RNA modifications, stability, translation, and degradation. To date, only a handful of mt-RBPs have been characterized. Here, we describe a putative human mitochondrial protein, C6orf203, that contains an S4-like domain - an evolutionarily conserved RNA-binding domain previously identified in proteins involved in translation. Our data show C6orf203 to bind highly-structured RNA in vitro and associate with the mitoribosomal large subunit in HEK293T cells. Knockout of C6orf203 leads to a decrease in mitochondrial translation and consequent OXPHOS deficiency, without affecting mitochondrial RNA levels. Although mitoribosome stability is not affected in C6orf203-depleted cells, mitoribosome profiling analysis revealed a global disruption of the association of mt-mRNAs with the mitoribosome, suggesting that C6orf203 may be required for the proper maturation and functioning of the mitoribosome. We therefore propose C6orf203 to be a novel RNA-binding protein involved in mitochondrial translation, expanding the repertoire of factors engaged in this process.
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Project description:Although tens of thousands of circular RNAs (circRNAs) have been identified in mammalian genomes, only a few have been functionally characterized. Here, we report a new approach, circScan, to identify regulatory interactions between circRNAs and RNA-binding proteins (RBPs). Our method identifies back-splicing reads from crosslinking and immunoprecipitation followed by high-throughput sequencing (CLIP-seq) data. Using our method, we systematically scanned ~1,500 CLIP-seq datasets and identified ~12,540 and ~1,090 novel circRNA-RBP interactions in the human and mouse genomes, respectively, including all known interactions between circRNAs and Argonaute (AGO) proteins. Furthermore, more than twenty novel interactions were experimentally confirmed by RNA immunoprecipitation combined with quantitative PCR (RIP-qPCR). Importantly, we determined that natural circRNAs interact with the cap-independent translation factors eukaryotic initiation factor 3 (eIF3) and N6-methyladenosine (m6A), thus suggesting that those circRNAs may be translated into proteins. These findings demonstrate that circRNAs are regulated by various RBPs and therefore may play important roles in diverse biological processes.
2018-03-18 | GSE97382 | GEO
Project description:The mammalian mitochondrial genome encodes thirteen proteins of the oxidative phosphorylation system, crucial in aerobic energy transduction. These proteins are translated from 9 monocistronic and 2 bicistronic transcripts, whose native structures remain unexplored, leaving fundamental molecular determinants of mitochondrial gene expression unknown. To address this knowledge gap, we developed a mitoDMS-MaPseq approach and used DREEM clustering to resolve the native mt-mRNA structurome in human mitochondria. In this way, we gained insights into mt-mRNA biology and translation regulatory mechanisms, including a unique translational frameshifting for the ATP8/ATP6 transcript. Furthermore, absence of the mt-mRNA maintenance factor LRPPRC led to a mitochondrial transcriptome structured differently, with specific mRNA regions exhibiting increased or decreased structuredness. This highlights the role of LRPPRC in maintaining mRNA folding to promote mt-mRNA stabilization and efficient translation. In conclusion, our mt-mRNA folding maps reveal novel mitochondrial gene expression mechanisms, serving as a detailed reference and tool for studying them in different physiological and pathological contexts.
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Project description:RNA-binding proteins (RBPs) are intimately involved in all aspects of RNA processing and regulation and are linked to neurodegenerative diseases and cancer. Therefore, understanding the relationship between RBPs and their RNA targets is critical for a broader understanding of post-transcriptional regulation in normal and disease processes. The majority of approaches to study RNA-protein interactions focus on single RBPs, however there are many hundreds RBPs encoded in the human genome, and each cell type expresses a different catalog of these regulatory molecules, greatly limiting the ability of these single RBP approaches to capture the global landscape of RNA-protein interactions. We and others have developed approaches to globally catalog regions of mRNAs that are bound by proteins in an unbiased manner. Here we describe a detailed protocol for performing our RNase-mediated protein footprint sequencing approach, termed protein interaction profile sequencing (PIP-seq). In this protocol, RNA-protein interactions are stabilized by cross-linking, and un-bound regions are digested with RNases, leaving only the protein-bound regions intact. To control for RNase insensitive regions, proteins are first denatured and then RNP complexes are subject to RNase treatment. After high-throughput sequencing of remaining fragments, peak calling is performed to identify protein protected sites (PPSs). We describe the application of this protocol to a human embryonic kidney cell line and perform basic quality control, reproducibility and benchmarking analyses. Finally, we describe the landscape of protein-interactions in HEK293T cells, underscoring the value of this approach. Future applications of this method to study the dynamics of RNA-protein interactions in developmental processes will help to uncover the role of RBPs in post-transcriptional regulation. Protein interaction profile sequencing (PIP-seq) in HEK293T cells. Three replicates of formaldehyde cross-linked PIP-seq are described
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Project description:RNA binding proteins are key regulators of gene expression, yet only a small fraction of these proteins has been functionally characterized. Here, we report the first large-scale analysis of the RNA motifs recognised by RNA binding proteins, encompassing 205 distinct proteins from 24 diverse eukaryotes. The sequence specificities of RBPs display deep evolutionary conservation, such that the recognition preferences for a large fraction of metazoan RNA binding proteins can be inferred from the sequences of their binding domains. The motifs we identify in vitro correlate well with in vivo RNA-binding data. Moreover, we can associate them with distinct functional roles in diverse types of post-transcriptional regulation, enabling new insights into the functions of RNA binding proteins in both normal physiology and in human disease. These data provide an unprecedented global view of RBPs and their targets and constitute an invaluable resource for defining post-transcriptional regulatory mechanisms in eukaryotes. Here, we analyze the RNA-binding preferences of 205 distinct RNA-binding proteins from 24 different eukaryotes, using RNAcompete. In this assay, purified GST-tagged RBPs are incubated with an excess of RNA pool and bound RNA from individual pulldowns are directly labeled, hybridized to a custom Agilent 244K microarray, and analyzed computationally to identify RNA-binding motifs.
2013-05-10 | E-GEOD-41235 | biostudies-arrayexpress
Project description:Metazoan genomes encode hundreds of RNA binding proteins (RBPs) but relatively few have well-defined RNA-binding preferences. Current techniques for determining RNA targets, including those involving in vitro selection and RNA co-immunoprecipitation, require significant time and labour investment. Here we introduce RNAcompete, a new method for the systematic analysis of RNA-binding specificities that employs a single binding reaction to determine the relative preferences of RBPs for short RNAs that containing a complete range of k-mers in structured and unstructured RNA contexts. We tested RNAcompete by analyzing nine diverse RBPs (HuR, Vts1, FUSIP1, PTB, U1A, SF2/ASF, SLM2, RBM4, and YB1). RNAcompete identified both expected and previously unknown RNA binding preferences. Using in vitro and in vivo binding data, we demonstrate that preferences for individual 7-mers identified by RNAcompete are a more accurate representation of binding activity than conventional motif models. We anticipate that RNAcompete will be a valuable tool for the large-scale study of RNA-protein interactions. The bound RNA from each RNA binding protein pulldown assay is analyzed on a custom Agilent microarray using a pool RNA control as a reference.
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