Dataset Information

Global protein-RNA interaction mapping at single nucleotide resolution by iCLIP-seq.

ABSTRACT: Eukaryotic genomes encode a large number of RNA-binding proteins, which play critical roles in many aspects of gene regulation. To functionally characterize these proteins, a key step is to map their interactions with target RNAs. UV crosslinking and immunoprecipitation coupled with high-throughput sequencing has become the standard method for this purpose. Here we describe the detailed procedure that we have used to characterize the protein-RNA interactions of the mRNA 3' processing factors.

SUBMITTER: Yao C

PROVIDER: S-EPMC4412157 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Global protein-RNA interaction mapping at single nucleotide resolution by iCLIP-seq.

Yao Chengguo C Weng Lingjie L Shi Yongsheng Y

Methods in molecular biology (Clifton, N.J.) 20140101

Eukaryotic genomes encode a large number of RNA-binding proteins, which play critical roles in many aspects of gene regulation. To functionally characterize these proteins, a key step is to map their interactions with target RNAs. UV crosslinking and immunoprecipitation coupled with high-throughput sequencing has become the standard method for this purpose. Here we describe the detailed procedure that we have used to characterize the protein-RNA interactions of the mRNA 3' processing factors. ...[more]

PMID: 24549678

Similar Datasets

Project description:Actinobacillus pleuropneumoniae is the pathogen of porcine contagious pleuropneumoniae, a highly contagious respiratory disease of swine. Although the genome of A. pleuropneumoniae was sequenced several years ago, limited information is available on the genome-wide transcriptional analysis to accurately annotate the gene structures and regulatory elements. High-throughput RNA sequencing (RNA-seq) has been applied to study the transcriptional landscape of bacteria, which can efficiently and accurately identify gene expression regions and unknown transcriptional units, especially small non-coding RNAs (sRNAs), UTRs and regulatory regions. The aim of this study is to comprehensively analyze the transcriptome of A. pleuropneumoniae by RNA-seq in order to improve the existing genome annotation and promote our understanding of A. pleuropneumoniae gene structures and RNA-based regulation. In this study, we utilized RNA-seq to construct a single nucleotide resolution transcriptome map of A. pleuropneumoniae. More than 3.8 million high-quality reads (average length ~90 bp) from a cDNA library were generated and aligned to the reference genome. We identified 32 open reading frames encoding novel proteins that were mis-annotated in the previous genome annotations. The start sites for 35 genes based on the current genome annotation were corrected. Furthermore, 51 sRNAs in the A. pleuropneumoniae genome were discovered, of which 40 sRNAs were never reported in previous studies. The transcriptome map also enabled visualization of 5'- and 3'-UTR regions, in which contained 11 sRNAs. In addition, 351 operons covering 1230 genes throughout the whole genome were identified. The RNA-Seq based transcriptome map validated annotated genes and corrected annotations of open reading frames in the genome, and led to the identification of many functional elements (e.g. regions encoding novel proteins, non-coding sRNAs and operon structures). The transcriptional units described in this study provide a foundation for future studies concerning the gene functions and the transcriptional regulatory architectures of this pathogen.

Dataset Information

Global protein-RNA interaction mapping at single nucleotide resolution by iCLIP-seq.

Publications

Global protein-RNA interaction mapping at single nucleotide resolution by iCLIP-seq.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets