Conserved functional antagonism between CELF and MBNL proteins regulates stem cell-specific alternative splicing and regeneration in planarians
Ontology highlight
ABSTRACT: Here, we analyze the RNA-binding preferences of the planarian smed-mbnl-like-2, smed-mbnl-1 (isoform X1), smed-bruli, smed-mbnl-1 (isoform Xins), and smed-mbnl-like-1 protein using RNAcompete. In the RNAcompete assay, a purified GST-tagged protein is incubated with an excess of RNA pool and bound RNA from individual pulldown experiments are directly labeled and hybridized to a custom Agilent 244K microarray.
Project description:Here, we analyze the RNA-binding preferences of the Drosophila melanogaster BRAT protein using RNAcompete. In the RNAcompete assay, purified GST-tagged BRAT is incubated with an excess of RNA pool and bound RNA from individual pulldown experiments are directly labeled and hybridized to a custom Agilent 244K microarray.
Project description:Here, we analyze the RNA-binding preferences of several NHL containing RNA-binding proteins (BRAT, NCL-1, TRIM71, WECH, LIN-41, TRIM56, and MEI-P26) using RNAcompete. In the RNAcompete assay, purified GST-tagged RNA-binding protein is incubated with an excess of RNA pool and bound RNA from individual pulldown experiments are directly labeled and hybridized to a custom Agilent 244K microarray.
Project description:It is commonly known that mammalian microRNAs guide the RNA-induced silencing complex (RISC) to target mRNAs through the seed-pairing rule. However, recent experiments by co-immunoprecipitating the argonaute proteins (AGOs), the central catalytic component of RISC, have consistently revealed extensive AGO-associated mRNAs lacking seed complementarity with microRNAs. We herein test the hypothesis that AGO has its own binding preference within target mRNAs, independent of guide microRNAs. By systematically analyzing the data from in vivo cross-linking experiments with human AGOs, we have identified a structurally accessible and evolutionarily conserved region (~10 nucleotides) that alone can accurately predict AGO-mRNA associations, independent of the presence of microRNA binding sites. Within this region, we further identified an enriched motif that is also consistently present in several independent AGO-immunoprecipitation datasets. We used RNAcompete to enumerate the RNA-binding preference of human AGO2 to all possible 7-mer RNA sequences, and validated our motif in vitro. These findings reveal a novel function of AGOs as sequence-specific RNA-binding proteins, which may aid microRNAs in recognizing their targets with high specificity. Here, we analyze the RNA-binding preference of human Argonaute 2 protein using RNAcompete assay
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.
Project description:Here, we analyze the RNA-binding preferences of the planarian smed-mbnl-like-2, smed-mbnl-1 (isoform X1), smed-bruli, smed-mbnl-1 (isoform Xins), and smed-mbnl-like-1 protein using RNAcompete.
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.
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.
Project description:mbnl knockout Danio rerio were created using CRISPR-Cas9, including single mbnl paralog knockouts, double mbnl paralog knockouts, and a triple mbnl paralog knockout. RNA-Seq was performed using skeletal muscle of three biological replicates of four month old fish.