E-GEOD-39214
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA170237PRJNA170235PRJNA170238
PROVIDER: E-GEOD-39214 | ExpressionAtlas | 2019-05-14
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:Long non-coding RNA (lncRNA) refers to non-coding RNA transcripts with a length of more than 200 nt. They regulate the expression level of target genes. However, the role of lncRNA in chromatin remodeling needs to be further explored. In this study, we used ISWI mutants (ISWI is a chromatin remodeling factor in Drosophila) to explore the function of lncRNA. Based on the transcriptome of ISWI mutant Drosophila, we analyzed the transcripts and conducted differential expression analysis. In ISWI mutants, the expression changes of lncRNAs were more significant. Our results provide a new perspective for understand the possible regulatory role of lncRNA in chromatin remodeling and identify possible lncRNA target genes in ISWI mutants.
2022-06-24 | GSE201291 | GEO
Project description:RNA-seq of zebrafish sa12692 mutants against WT controls
| PRJEB32363 | ENA
Project description:High-throughput pyrosequencing of endogenous small RNAs from CSR-1 IP complexes and csr-1(tm892) and ego-1(om97) mutants with corresponding controls. RNAi-related pathways regulate diverse processes, from developmental timing to transposon silencing. Here, we show that in C. elegans the Argonaute CSR-1, the RNA-dependent RNA polymerase EGO-1, the Dicer-related helicase DRH-3, and the Tudor-domain protein EKL-1 localize to chromosomes and are required for proper chromosome segregation. In the absence of these factors chromosomes fail to align at the metaphase plate and kinetochores do not orient to opposing spindle poles. Surprisingly, the CSR-1 interacting small RNAs (22G-RNAs) are antisense to thousands of germline-expressed protein-coding genes. Nematodes assemble holocentric chromosomes in which continuous kinetochores must span the expressed domains of the genome. We show that CSR-1 interacts with chromatin at target loci, but does not down-regulate target mRNA or protein levels. Instead, our findings support a model in which CSR-1 complexes target protein-coding domains to promote their proper organization within the holocentric chromosomes of C. elegans. 5 samples examined. Small RNAs that co-immunopercipitate with CSR-1 protein and input sample. Small RNAs from csr-1(tm892) and ego-1(om97) mutants and corresponding congenic wild type strain.
2009-10-02 | E-GEOD-18165 | biostudies-arrayexpress
Project description:High-throughput pyrosequencing of endogenous small RNAs from CSR-1 IP complexes and csr-1(tm892) and ego-1(om97) mutants with corresponding controls. RNAi-related pathways regulate diverse processes, from developmental timing to transposon silencing. Here, we show that in C. elegans the Argonaute CSR-1, the RNA-dependent RNA polymerase EGO-1, the Dicer-related helicase DRH-3, and the Tudor-domain protein EKL-1 localize to chromosomes and are required for proper chromosome segregation. In the absence of these factors chromosomes fail to align at the metaphase plate and kinetochores do not orient to opposing spindle poles. Surprisingly, the CSR-1 interacting small RNAs (22G-RNAs) are antisense to thousands of germline-expressed protein-coding genes. Nematodes assemble holocentric chromosomes in which continuous kinetochores must span the expressed domains of the genome. We show that CSR-1 interacts with chromatin at target loci, but does not down-regulate target mRNA or protein levels. Instead, our findings support a model in which CSR-1 complexes target protein-coding domains to promote their proper organization within the holocentric chromosomes of C. elegans.
2009-10-02 | GSE18165 | GEO
Project description:This is a delay differential equation model showing how non-coding RNA, acting as microRNA (miRNA) sponges in a conserved RNA-transcription factor feedback motif, can five rise to oscillatory behaviour.
2019-11-01 | BIOMD0000000841 | BioModels
Project description:Long-range interactions between DNA regulatory elements and their target genes play major roles in gene regulation. The vast majority of interactions are uncharted, constituting a major missing link in understanding genome control. Here we use promoter capture Hi-C to identify interacting regions of 31,253 promoters in 17 human primary haematopoietic cell types. We show that long-range promoter interactions are highly cell-type specific, preferentially linking active promoters and enhancers. Patterns of promoter interactions reflect cell lineage relationships of the hematopoietic tree, consistent with dynamic remodeling of nuclear architecture during differentiation. Interacting regions are enriched for expression quantitative trait loci with effects on their interacting target genes. We exploit this rich resource of interactome maps to connect non-coding disease variants to their target promoters, identifying thousands of new disease-candidate genes, and implicating a number of gene pathways in disease susceptibility. Our results demonstrate the power of promoter interactomes from primary cells to reveal insights into genomic regulatory mechanisms underlying common diseases.
| EGAS00001001911 | EGA
Project description:Neuroblastoma (NB) is an embryonal tumor with various clinical presentations and behaviors. Several genomic alterations has been well-studied in NB, among which genomic amplification of MYCN oncogene, is a strong prognostic biomarker with worsens outcome. Long noncoding RNAs (lncRNAs), constitute major proportion of the cellular transcripts with no coding capacity. One of their function is to guide transcription factors to the target genes and facilitate gene expression. However, relative contribution of lncRNA and MYCN to the advanced NB has remained unclear. Herein, by applying a network-based integrative analysis on MYCN amplified and MYCN nonamplified lncRNA expression profile from both RNA-seq and microarray platform, we identified lncRNA, SNHG1 to be differentially expressed and strongly correlated with MYCN in MYCN-amplified NB. The expression of SNHG1 was validated by RT-qPCR in NB cell lines. Survival analysis revealed that higher expression of SNHG1 significantly associates with poor patient survival. Moreover, knockdown of MYCN in MYCN-amplified NB cell lines inhibited SNHG1 expression. Furthermore, to unravel the role of SNHG1 in NB, we extracted SNHG1-interacting proteins by RNA-protein pull down assay coupled with doi:10.6342/NTU201701980 ! ! VI liquid chromatography-tandem mass spectrometry (LC-MS/MS). We identified 27 SNHG1-interacting proteins in common from three NB cell lines. However, only three SNHG1-interacting proteins, MATR3, YBX1 and HHRNPL have binding site detected by DeepBind motif analysis. Western blot confirms interaction of MATR3 with SNHG1. Additionally, we further validated the direct interaction between MATR3 and SNHG1 by RNA-immunoprecipation (IP). MATR3 is known to be involved in RNA transport and stabilization. Therefore, we proposed that MATR3 after interacting with SNHG1 might help in SNHG1 transcription and stabilization. In conclusion, our study unveils that SNHG1 could be a prognostic marker for high-risk NB and possibly stabilized by MATR3. Our results might provide future directions for the development of therapeutic strategies against high-risk NB.
2022-03-01 | PXD007121 | Pride
Project description:Schmitz2014 - RNA triplex formation
The model is parameterized using the
parameters for gene CCDC3 from Supplementary Table S1. The two
miRNAs which form the triplex together with CCDC3 are miR-551b and
miR-138.
This model is described in the article:
Cooperative gene regulation
by microRNA pairs and their identification using a
computational workflow.
Schmitz U, Lai X, Winter F,
Wolkenhauer O, Vera J, Gupta SK.
Nucleic Acids Res. 2014 Jul; 42(12):
7539-7552
Abstract:
MicroRNAs (miRNAs) are an integral part of gene regulation
at the post-transcriptional level. Recently, it has been shown
that pairs of miRNAs can repress the translation of a target
mRNA in a cooperative manner, which leads to an enhanced
effectiveness and specificity in target repression. However, it
remains unclear which miRNA pairs can synergize and which genes
are target of cooperative miRNA regulation. In this paper, we
present a computational workflow for the prediction and
analysis of cooperating miRNAs and their mutual target genes,
which we refer to as RNA triplexes. The workflow integrates
methods of miRNA target prediction; triplex structure analysis;
molecular dynamics simulations and mathematical modeling for a
reliable prediction of functional RNA triplexes and target
repression efficiency. In a case study we analyzed the human
genome and identified several thousand targets of cooperative
gene regulation. Our results suggest that miRNA cooperativity
is a frequent mechanism for an enhanced target repression by
pairs of miRNAs facilitating distinctive and fine-tuned target
gene expression patterns. Human RNA triplexes predicted and
characterized in this study are organized in a web resource at
www.sbi.uni-rostock.de/triplexrna/.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000530.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2013-10-23 | BIOMD0000000530 | BioModels
Project description:Target of Rapamycin Complex 1 (TORC1) signaling promotes growth and ageing. Inhibition of TORC1 leads to a down-regulation of factors that stimulate protein translation, which in turn contributes to longevity. TORC1-dependent post-transcriptional regulation of protein translation has been well studied, while analogous transcriptional regulation is less understood. Here we screened fission yeast deletion mutants for resistance to Torin1, which inhibits TORC1 and cell growth. Cells lacking the GATA transcription factor Gaf1 (gaf1Δ) grew normally even in high doses of Torin1. The gaf1Δ mutation shortened the chronological lifespan of non-dividing cells and diminished the longevity triggered by Torin1 treatment. Expression profiling and genome-wide binding experiments showed that, upon TORC1 inhibition, Gaf1 directly up-regulated genes for small-molecule metabolic pathways and indirectly repressed genes for protein translation. Surprisingly, Gaf1 bound to, and down-regulated the tRNA genes, so also functions as a transcription factor for genes transcribed by RNA polymerase III. Thus, Gaf1 controls the transcription of both coding and tRNA genes to inhibit translation and growth downstream of TORC1.
2020-03-02 | E-MTAB-8569 | biostudies-arrayexpress