Whole transcriptome target sequencing: profiling gene expression and alternative polyadenylation with one pipeline.
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ABSTRACT:
ORGANISM(S): Xenopus tropicalis
PROVIDER: GSE74919 | GEO | 2016/07/22
SECONDARY ACCESSION(S): PRJNA301904
REPOSITORIES: GEO
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Project description:We have developed a deep sequencing method called Whole Transcriptome Target Sequencing (WTTS), which sequences the 3â ends of polyA+ RNA. This method can simultaneously profile gene expression and alternative polyadenylation. A pooled total RNA sample derived from three male and three female adult frogs was used in seven trials to develop the WTTS assay. The same sample was sequenced using RNA-seq as control. Technical replicates of the same female adult frog were analyzed using the finalized WTTS library preparation method. Biological replicates, which included 10 embryo pools collected from two families at stages 6, 8, 11, 15 and 28 were subsequently analyzed to validate the finalized WTTS method. Six embryo samples collected at stages of 6, 8 and 11 were also sequenced using RNA-seq. Therefore, this submission involved a total of 26 libraries.
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Project description:We describe PolyA-Seq, a strand-specific method for high-throughput sequencing of the 3' ends of polyadenylated transcripts. PolyA-Seq is as accurate for digital gene expression as existing RNA sequencing approaches, and superior to microarrays. We used the approach to map polyadenylation (polyA) sites in 24 samples from normal tissues in human, rhesus, dog, mouse, and rat.
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Project description:We describe PolyA-Seq, a strand-specific method for high-throughput sequencing of the 3' ends of polyadenylated transcripts. PolyA-Seq is as accurate for digital gene expression as existing RNA sequencing approaches, and superior to microarrays. We used the approach to map polyadenylation (polyA) sites in 24 samples from normal tissues in human, rhesus, dog, mouse, and rat. Detection of polyA sites in a mixture of 24 tissues in human, mouse, rat, dog and rhesus. Samples included two replicates each of MAQC Human Brain Reference and MAQC Universal Human Reference. Two additional human sets of reads are included that were used to distinguish true polyA sites from internal priming sites.
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Project description:Most mammalian genes have multiple polyA sites, representing a substantial source of transcript diversity regulated by the cleavage and polyadenylation (CPA) machinery. To better understand how these proteins govern polyA site choice we introduce CPA-Perturb-seq, a multiplexed perturbation screen dataset of 42 CPA regulators with a 3’ scRNA-seq readout that enables transcriptome-wide inference of polyA site usage. We develop a framework to detect perturbation-dependent changes in polyadenylation and characterize modules of co-regulated polyA sites. We find groups of intronic polyA sites regulated by distinct components of the nuclear RNA life cycle including elongation, splicing, termination, and surveillance. We train and validate a multi-task deep neural network (APARENT-Perturb) for tandem polyA site usage, delineating a cis-regulatory code that predicts perturbation response and reveals interactions between regulatory complexes. Our work highlights the potential for multiplexed single-cell perturbation screens to further our understanding of post-transcriptional regulation.
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Project description:Most mammalian genes have multiple polyA sites, representing a substantial source of transcript diversity regulated by the cleavage and polyadenylation (CPA) machinery. To better understand how these proteins govern polyA site choice we introduce CPA-Perturb-seq, a multiplexed perturbation screen dataset of 42 CPA regulators with a 3’ scRNA-seq readout that enables transcriptome-wide inference of polyA site usage. We develop a framework to detect perturbation-dependent changes in polyadenylation and characterize modules of co-regulated polyA sites. We find groups of intronic polyA sites regulated by distinct components of the nuclear RNA life cycle including elongation, splicing, termination, and surveillance. We train and validate a multi-task deep neural network (APARENT-Perturb) for tandem polyA site usage, delineating a cis-regulatory code that predicts perturbation response and reveals interactions between regulatory complexes. Our work highlights the potential for multiplexed single-cell perturbation screens to further our understanding of post-transcriptional regulation.
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Project description:Most mammalian genes have multiple polyA sites, representing a substantial source of transcript diversity regulated by the cleavage and polyadenylation (CPA) machinery. To better understand how these proteins govern polyA site choice we introduce CPA-Perturb-seq, a multiplexed perturbation screen dataset of 42 CPA regulators with a 3’ scRNA-seq readout that enables transcriptome-wide inference of polyA site usage. We develop a framework to detect perturbation-dependent changes in polyadenylation and characterize modules of co-regulated polyA sites. We find groups of intronic polyA sites regulated by distinct components of the nuclear RNA life cycle including elongation, splicing, termination, and surveillance. We train and validate a multi-task deep neural network (APARENT-Perturb) for tandem polyA site usage, delineating a cis-regulatory code that predicts perturbation response and reveals interactions between regulatory complexes. Our work highlights the potential for multiplexed single-cell perturbation screens to further our understanding of post-transcriptional regulation.
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Project description:Genes containing multiple polyadenylation (polyA) sites express mRNA isoforms with variable 3’ untranslated regions (3’UTRs). We found that short and long 3’UTR isoforms were relatively more abundant when genes were highly and lowly expressed, respectively, in human and mouse cells. Consistently, upregulated and downregulated genes were more likely to have shortened and lengthened 3’UTRs, respectively, when genes changed expression under different cell conditions or in response to extracellular stimuli. Using nuclear run-on assays, we found that RNA polymerase II (Pol II) was more likely to pause at the polyA site of highly expressed genes than that of lowly expressed ones. Moreover, in line with the difference in polyA site usage, highly expressed genes tend to have higher H3K4me3 and H3K36me3 levels but a lower density of nucleosome around promoter-proximal polyA sites relative to distal ones. Taken together, our results indicate that the efficiency of 3’ end processing is generally coupled to transcriptional activity, leading to modulation of polyA site choice by transcription and thus connecting transcriptional control with post-transcriptional regulation via pre-mRNA processing. Nascent RNA sequencing of C2C12 cell
2011-08-15 | E-GEOD-26512 | biostudies-arrayexpress
Project description:Genes containing multiple polyadenylation (polyA) sites express mRNA isoforms with variable 3’ untranslated regions (3’UTRs). We found that short and long 3’UTR isoforms were relatively more abundant when genes were highly and lowly expressed, respectively, in human and mouse cells. Consistently, upregulated and downregulated genes were more likely to have shortened and lengthened 3’UTRs, respectively, when genes changed expression under different cell conditions or in response to extracellular stimuli. Using nuclear run-on assays, we found that RNA polymerase II (Pol II) was more likely to pause at the polyA site of highly expressed genes than that of lowly expressed ones. Moreover, in line with the difference in polyA site usage, highly expressed genes tend to have higher H3K4me3 and H3K36me3 levels but a lower density of nucleosome around promoter-proximal polyA sites relative to distal ones. Taken together, our results indicate that the efficiency of 3’ end processing is generally coupled to transcriptional activity, leading to modulation of polyA site choice by transcription and thus connecting transcriptional control with post-transcriptional regulation via pre-mRNA processing.
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