Similar Datasets
Project description:mRNA-Seq for differential gene expression analysis and delineation of chromosome interaction domains
2022-05-10 | GSE194135 | GEO
Project description:RNA-Seq analysis carried out in three different backcrosses based on Iberian breed with Landrace, Pietrain and Duroc breeds
2017-10-31 | PRJEB23068 | EVA
Project description:These RNA-seq data were generated to correlate with genomic interaction data in a related Hi-C analysis. Analysis revealed differential expressed genes in ATRA treated and control HL-60 cells. Changes of gene expression with topological associated domains (TADs) were showd to be correlated with chromatin structure alteration
2018-03-07 | GSE93996 | GEO
Project description:The control of cell identity is orchestrated by transcriptional and chromatin regulators in the context of specific chromosome structures. With the recent isolation of human naive embryonic stem cells (ESCs) representative of the ground state of pluripotency, it is possible to deduce this regulatory landscape in one of the earliest stages of human development. Here we generate cohesin ChIA-PET chromatin interaction data in naive and primed human ESCs and use it to reconstruct and compare the 3D regulatory landscapes of these two stages of early human development. The results reveal shared and stage-specific regulatory landscapes of topological domains and their subdomains, which consist of CTCF-CTCF/cohesin loops and enhancer-promoter/cohesin loops. The enhancer-promoter loop data reveal that genes with key roles in pluripotency are nearly always regulated by one or more super-enhancers, and show that these genes tend to occur in insulated neighborhoods. Our results reveal the key features of the 3D regulatory landscape of early human cells that form the foundation for embryonic development. Polyadenylated RNA-seq from naive and primed human embroynic stem cells.
2015-11-22 | E-GEOD-69692 | biostudies-arrayexpress
Project description:The histone variant H2A.Z is a hallmark of nucleosomes flanking the promoters of protein coding genes, and is often found in nucleosomes that also carry lysine 56- acetylated histone H3 (H3-K56Ac), a mark which promotes rapid replication- independent turnover of nucleosomes. Although H2A.Z and H3-K56Ac have been generally implicated in transcriptional activation, their exact contributions have remained elusive. Here we find that H3-K56Ac promotes RNA polymerase II occupancy at a large number of protein coding and noncoding loci, yet neither H3- K56Ac nor H2A.Z has a significant impact on steady state mRNA levels in yeast. Instead, broad effects of H3-K56Ac or H2A.Z on levels of both coding and noncoding RNAs (ncRNAs) are only revealed in the absence of the nuclear RNA exosome. H2A.Z is also necessary for expression of divergent, promoter-proximal ncRNAs in mouse embryonic stem cells, suggesting a conserved role for H2A.Z across eukaryotes. Finally, we show that H2A.Z functions with H3-K56Ac in chromosome folding, facilitating formation of chromosome interaction domains (CIDs). Our study suggests that H2A.Z and H3-K56Ac work in concert with the RNA exosome to control mRNA and ncRNA expression, perhaps in part by regulating higher order chromatin structures. 2 replicates of WT (CY1089), rtt109â (CY2210), rrp6â (CY2071) and one replicate of the W303 input (Sample 7). TableS5.xlsx contains the processed IP/input values for each ORF transcript.
2015-11-12 | E-GEOD-72692 | biostudies-arrayexpress
Project description:ADARs are the primary factors underlying A-to-I editing in metazoans. We conducted the first global study of ADAR1-RNA interaction in human cells using CLIP-Seq. In contrast to the expected predominant binding of ADAR1 to Alu repeats, thousands of CLIP sites were located in non-Alu regions. This unexpectedly frequent non-Alu binding enabled discovery of transcriptome-wide functional and biophysical targets of ADAR1 in the regulation of mRNA processing including alternative 3' UTR usage and alternative splicing. In addition, a global analysis of ADAR1 binding to non-Alu regions also revealed its primary interaction with microRNA (miRNA) transcripts in the nucleus, which subsequently affected expression levels of mature miRNAs. A complex global picture was revealed regarding the dependence of this function on the double-stranded RNA binding domains or deaminase activity. Our study unfolded a broad landscape of the diverse functional roles of ADAR1. To identify ADAR binding dependent miRNA defferential expression profiles, U87MG cells were transfected with ADAR1 overexpression vector, RNA binding mutant (EAA and E912A), siRNA of ADAR1 or controls.
2015-03-11 | E-GEOD-55362 | biostudies-arrayexpress
Project description:mRNAs are generally assumed to be loaded instantly with ribosomes upon entry into the cytoplasm. To measure ribosome density on nascent mRNA, we developed nascent Ribo-Seq (nRibo-Seq) by combining Ribo-Seq with progressive 4-thiouridine labelling. In mouse macrophages, we experimentally determined, for the first time, the lag between the appearance of nascent RNA and its association with ribosomes, which was calculated to be 20 - 22 min for bulk mRNA, and approximated the time it takes for mRNAs to be fully loaded with ribosomes to be 41 - 44 min. Notably, ribosomal loading time is adapted to gene function as rapid loading was observed with highly regulated genes. The lag and ribosomal loading time correlate positively with ORF size and mRNA half-life, and negatively with tRNA adaptation index. Similar results were obtained in mouse embryonic stem cells, where the lag in ribosome loading was even more pronounced with 35 - 38 min. We validated our measurements after stimulation of macrophages with lipopolysaccharide, where the lag between cytoplasmic and translated mRNA leads to uncoupling between input and ribosome-protected fragments. Uncoupling is stronger for mRNAs with long ORFs or half-lives, a finding we also confirmed at the level of protein production by nascent chain proteomics. As a consequence of the lag in ribosome loading, ribosome density measurements are distorted when performed under conditions where mRNA levels are far from steady state expression, and transcriptional changes affect ribosome density in a passive way. This study uncovers an unexpected and considerable lag in ribosome loading, and provides guidelines for the interpretation of Ribo-Seq data taking passive effects on ribosome density into account.
2021-06-22 | PXD026828 | Pride
Project description:ChIP-seq analysis of elements that specify nucleosome positioning and occupancy, control domains of gene expression, induce repression of the X chromosome, guide mitotic segregation and genome duplication, govern homolog pairing and recombination during meiosis, and organize chromosome positioning within the nucleus. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf ChIP-seq against H3 in L3 stage N2 worms.
2011-05-02 | E-GEOD-28756 | biostudies-arrayexpress
Project description:ChIP-seq analysis of elements that specify nucleosome positioning and occupancy, control domains of gene expression, induce repression of the X chromosome, guide mitotic segregation and genome duplication, govern homolog pairing and recombination during meiosis, and organize chromosome positioning within the nucleus. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf ChIP-seq against H3 in L3 stage N2 worms.
2011-05-02 | E-GEOD-28757 | biostudies-arrayexpress
Project description:ChIP-seq analysis of elements that specify nucleosome positioning and occupancy, control domains of gene expression, induce repression of the X chromosome, guide mitotic segregation and genome duplication, govern homolog pairing and recombination during meiosis, and organize chromosome positioning within the nucleus. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf ChIP-seq against LIN54 in L3 stage N2 worms.
2011-05-02 | E-GEOD-28760 | biostudies-arrayexpress