Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1028573 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR26410140_1.fastq.gz | Fastqsanger.gz | |||
| SRR26410140_2.fastq.gz | Fastqsanger.gz | |||
| SRR26410141.fastq.gz | Fastqsanger.gz | |||
| SRR26410142_1.fastq.gz | Fastqsanger.gz | |||
| SRR26410142_2.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Purpose: PUMILIO proteins are known to repress target genes by specifically binding to PUMILIO response elements (PREs) in target mRNAs. NORAD is a noncoding RNA that negatively regulates PUMILIO activity. The goal of this study was to determine the gene expression changes that result from knockout of NORAD or overexpression of PUMILIO and to test whether NORAD knockout causes PUMILIO hyperactivity. Methods: RNA-seq libraries were prepared using the TruSeq Stranded Total RNA with Ribo-Zero Human/Mouse/Rat Sample Preparation kit (Illumina) and sequenced using the 100 bp paired-end protocol on an Illumina HiSeq 2000. For comparing NORAD+/+ and NORAD-/- HCT116 cells, 3 biological replicates per genotype were sequenced. For PUM overexpression experiments, 3 replicates of GFP-expressing HCT116 cells (negative control) and 2 independent PUM1- or PUM2-overexpressing clones (2 replicates each) were sequenced. Results: Gene expression profiles show that PUMILIO target genes are downregulated in both NORAD knockout cells and PUMILIO overexpressing cells. Conclusions: These data indicate that NORAD sequesters PUMILIO, preventing excessive repression of PUMILIO target genes that are important for maintaining genomic stability.
2015-12-03 | GSE75440 | GEO
Project description:In this study, we identified the transcriptome-wide direct RNA target sites of the entire family of Pumilio proteins in the budding yeast Saccharomyces cerevisiae by deep sequencing of RNA regions bound by each of six Pumilio proteins. As a family, the Pumilio proteins of yeast interact with over half of the entire transcriptome. Computational analysis of Pumilio target sites reveal striking differences in mRNA stability, gene set categories, and response to nutrient deprivation conditions based on features of Pumilio binding. Some of these features include variations in primary sequence motif and presence of predicted structured RNA hairpins. Puf6p also binds snoRNAs.
2017-05-31 | GSE67064 | GEO
Project description:It is increasingly appreciated that long non-coding RNAs (lncRNAs) carry out important functions in mammalian cells, but how these are encoded in their sequences, and manifested in their structures remains largely unknown. Some lncRNAs bind to and modulate the availability of RNA binding proteins, but the structural principles that underlie this mode of regulation are underexplored. Here, we focused on the NORAD lncRNA, which binds Pumilio proteins and modulates their ability to repress hundreds of mRNA targets. We probed the RNA structure and long-range RNA-RNA interactions formed by NORAD inside cells, under different stressful conditions. We discovered that NORAD structure is highly modular, and consists of well-defined domains that contribute independently to NORAD function. The structure adopted by NORAD spatially clusters the Pumilio binding sites along NORAD in a manner that contributes to de-repression of Pumilio target proteins. Following arsenite stress, the majority of NORAD structure undergoes relaxation and forms inter-molecular interactions with RNAs that are targeted to stress granules. NORAD sequence thus dictates elaborated structural domain organisation that facilitates its function on multiple levels, and which helps explain the extensive evolutionary sequence conservation of NORAD regions that are not predicted to directly bind Pumilio proteins.
2022-12-01 | GSE188445 | GEO
Project description:The sequence-specific RNA-binding protein Pumilio controls development of Drosophila; however, the network of mRNAs that it regulates remains incompletely characterized. In this study, we utilize knockdown and knockout approaches coupled with RNA-Seq to measure the impact of Pumilio on the transcriptome of Drosophila cells. We also used an improved RNA co-immunoprecipitation method to identify Pumilio bound mRNAs in Drosophila embryos. Integration of these datasets with the content of Pumilio binding motifs across the transcriptome revealed novel direct Pumilio target genes involved in neural, muscle, wing, and germ cell development, and cellular proliferation. These genes include components of Wnt, TGF-beta, MAPK/ERK, and Notch signaling pathways, DNA replication, and lipid metabolism. Additionally, we identified the mRNAs regulated by the CCR4-NOT deadenylase complex, a key factor in Pumilio-mediated repression, and observed concordant regulation of Pumilio:CCR4-NOT target mRNAs. Computational modeling revealed that Pumilio binding site location, number, density, and context are important determinants of regulation. Moreover, the content of optimal synonymous codons exhibits a striking functional relationship to Pumilio and CCR4-NOT regulation, indicating that the inherent translation efficiency and stability of the mRNA modulates their response to these trans-acting regulatory factors. Together, the results of this work provide new insights into the Pumilio regulatory network and mechanisms, and the parameters that influence the efficacy of Pumilio-mediated regulation.
2023-09-03 | GSE241940 | GEO
Project description:Transcriptome-wide identification and target analysis of the Pumilio family of RNA binding proteins
| PRJNA278842 | ENA
Project description:MicroRNAs (miRNAs) act within Argonaute proteins to guide repression of mRNA targets. Although various approaches have provided insight into target recognition, the sparsity of miRNA–target affinity measurements has limited understanding and prediction of targeting efficacy. Here, we adapted RNA bind-n-seq to enable measurement of relative binding affinities between Argonaute–miRNA complexes and all ≤12-nucleotide sequences. This approach revealed noncanonical target sites unique to each miRNA, miRNA-specific differences in canonical target-site affinities, and a 100-fold impact of dinucleotides flanking each site. These data enabled construction of a biochemical model of miRNA-mediated repression, which was extended to all miRNA sequences using a convolutional neural network. This model substantially improved prediction of cellular repression, thereby providing a biochemical basis for quantitatively integrating miRNAs into gene-regulatory networks.
2019-11-27 | GSE140215 | GEO
Project description:MicroRNAs (miRNAs) act within Argonaute proteins to guide repression of mRNA targets. Although various approaches have provided insight into target recognition, the sparsity of miRNA–target affinity measurements has limited understanding and prediction of targeting efficacy. Here, we adapted RNA bind-n-seq to enable measurement of relative binding affinities between Argonaute–miRNA complexes and all ≤12-nucleotide sequences. This approach revealed noncanonical target sites unique to each miRNA, miRNA-specific differences in canonical target-site affinities, and a 100-fold impact of dinucleotides flanking each site. These data enabled construction of a biochemical model of miRNA-mediated repression, which was extended to all miRNA sequences using a convolutional neural network. This model substantially improved prediction of cellular repression, thereby providing a biochemical basis for quantitatively integrating miRNAs into gene-regulatory networks.
2019-11-27 | GSE140214 | GEO
Project description:MicroRNAs (miRNAs) act within Argonaute proteins to guide repression of mRNA targets. Although various approaches have provided insight into target recognition, the sparsity of miRNA–target affinity measurements has limited understanding and prediction of targeting efficacy. Here, we adapted RNA bind-n-seq to enable measurement of relative binding affinities between Argonaute–miRNA complexes and all ≤12-nucleotide sequences. This approach revealed noncanonical target sites unique to each miRNA, miRNA-specific differences in canonical target-site affinities, and a 100-fold impact of dinucleotides flanking each site. These data enabled construction of a biochemical model of miRNA-mediated repression, which was extended to all miRNA sequences using a convolutional neural network. This model substantially improved prediction of cellular repression, thereby providing a biochemical basis for quantitatively integrating miRNAs into gene-regulatory networks.
2019-11-27 | GSE140216 | GEO
Project description:Identification of diverse target RNAs that are functionally regulated by human Pumilio proteins
| PRJNA377083 | ENA
Project description:Purpose: PUMILIO proteins are known to repress target genes by binding to PUMILIO response elements (PREs) in target mRNAs. The goal of this study was to demonstrate binding of endogenous PUM2 to the noncoding RNA NORAD and to identify PUM2 target genes in NORAD wild-type and knockout HCT116 cells. Methods: PAR-CLIP was performed with endogenous PUM2 in HCT116 cells and isogenic NORAD knockout cells. Results: Endogenous PUM2 binds to NORAD in HCT116 cells. In addition, PUM2 target genes were identified in HCT116 cells. Conclusions: PUM2 binds to NORAD through multiple PREs on NORAD. Compared to all other PUM2 target genes in HCT116, NORAD is the preferred binding partner of endogenous PUM2.
2015-12-03 | GSE75439 | GEO