Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

59 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Differential expression of mature miRNAs in P19 cells during neuronal differentiation and by Rbfox3 depletion.

ABSTRACT: To investigate whether Rbfox3 could alter the expression level of miRNAs during neuronal differentiation of P19 cells, we performed miRNA microarray analysis using the RNAs extracted from untreated (undifferentiated) P19-GFP, RA-treated (neuronally differentiated) P19-GFP, or RA-treated P19-T2 cells. Total 9 samples were analyzed. We compared expression levels of P19-GFP (-) vs P19-GFP (+) vs P19-T2 (+) to identify miRNAs which had changes in expression levels with p < 0.01. From this miRNA list, we compared among P19-GFP (-) vs P19-GFP (+) vs P19-T2 (+) to identify the miRNAs which appeared to correlate with Rbfox3 expression.

ORGANISM(S): Mus musculus

SUBMITTER: Yanqin Yang

PROVIDER: E-GEOD-52377 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Differential expression of mature miRNAs in P19 cells during neuronal differentiation and by Rbfox3 depletion.

Project description:To investigate whether Rbfox3 could alter the expression level of miRNAs during neuronal differentiation of P19 cells, we performed miRNA microarray analysis using the RNAs extracted from untreated (undifferentiated) P19-GFP, RA-treated (neuronally differentiated) P19-GFP, or RA-treated P19-T2 cells.

2014-09-21 | GSE52377 | GEO

MicroRNA profiling of human HeLa cells overexpressing p19 H-Ras

Project description:MicroRNA miRNA expression profiles for human HeLa cells (Cervical cancer), overexpressing p19 H-Ras, were examined to investigate the miRNA regulation by p19 H-Ras. miRNA microarray analysis identified statistical unique profiles, which could discriminate miRNAs regulated by p19 H-Ras and not regulated by the p19 mutant (W164A) H-Ras.

2008-12-12 | E-TABM-494 | biostudies-arrayexpress

miRNA expression profile of pre-transfected HEY cells

Project description:MicroRNAs (miRNAs) are short (~22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. We wanted to quantify the levels of endogenous miRNAs in pre-transfected HEY ovarian cancer cells to identify the highly expressed miRNAs. It was previously established that transfection of small RNAs can globally perturb gene expression, and one mechanism responsible for such alterations may involve de-repression of targets of endogenous miRNAs because of the saturation of the RISC complexes by the exogenously administered small RNA (Khan et al., 2009. Nat Biotechnol 27, 549-555). By measuring the levels of miRNAs in the pre-transfected HEY cells, we wanted to determine the miRNAs most highly expressed in HEY cells, and therefore, most likely to experience the effects of such competition. miRNAs were collected from duplicate wells of HEY cells grown in 6-well plates after ~64 hours of seeding (~1.5E5 cells/well). The miRNA expression pattern was determined using an Affymetrix GeneChip miRNA Array.

2012-04-08 | E-GEOD-29126 | biostudies-arrayexpress

Mus musculus

Project description:Differential expression of mature miRNAs in P19 cells during neuronal differentiation and by Rbfox3 depletion.

| PRJNA227739 | ENA

Differentially Expressed Wound Healing-Related microRNAs in the Human Diabetic Cornea

Project description:MicroRNAs are powerful gene expression regulators, but their corneal repertoire and potential changes in corneal diseases remain unknown. Our purpose was to identify miRNAs altered in the human diabetic cornea by microarray analysis, and to examine their effects on wound healing in cultured telomerase-immortalized human corneal epithelial cells (HCEC) in vitro. Using microarrays, 29 miRNAs were identified as differentially expressed in diabetic samples. Two miRNA candidates showing the highest fold increased in expression in the diabetic cornea were confirmed by Q-PCR and further characterized. HCEC transfection with h-miR-146a or h-miR-424 significantly retarded wound closure, but their respective antagomirs significantly enhanced wound healing vs. controls. Cells treated with h-miR-146a or h-miR-424 had decreased p-p38 and p-EGFR staining, but these increased over control levels close to the wound edge upon antagomir treatment. In conclusion, several miRNAs with increased expression in human diabetic central corneas were found. Two such miRNAs inhibited cultured corneal epithelial cell wound healing. Dysregulation of miRNA expression in human diabetic cornea may be an important mediator of abnormal wound healing. Total RNA was extracted from age-matched human autopsy normal (n=6) and diabetic (n=6) central corneas, Flash Tag end-labeled, and hybridized to Affymetrix® GeneChip® miRNA Arrays. Select miRNAs associated with diabetic cornea were validated by quantitative RT-PCR (Q-PCR) and by in situ hybridization (ISH) in independent samples.

2013-11-09 | E-GEOD-52233 | biostudies-arrayexpress

Gene expression profiling in Setx shRNA P19 cells, wild type human Setx P19 transfected cells with and without retionoic acid

2010-07-10 | GSE21724 | GEO

MicroRNAs may indirectly regulate other microRNAs

Project description:MicroRNAs (miRNAs) are a class of regulatory RNAs that control the expression of genes critical to cell function. Ectopic expression of miRNAs has been shown to result in genome-wide changes in patterns of gene expression. While the reasons for these global alterations in gene expression patterns have been attributed to the ability of miRNAs to target multiple genes, and/or to induce indirect effects downstream of target genes, the molecular basis of indirect effects of miRNA regulation remains poorly understood. In this study, we demonstrate the potential of miRNAs to regulate other miRNAs. Using miRNA microarray analysis, we show that over 70 different miRNAs are differentially expressed ( M-bM-^IM-%1.4 fold, FDR M-bM-^IM-$ 5%) in human ovarian cancer cells after transfection with a single miRNA (miR-7). We present evidence that a major component of miR-7-induced changes in levels of miRNAs is the indirect consequence of miR-7-mediated alterations in levels of protein-coding genes (e.g., transcription and splicing factors) that exert trans-regulatory control on miRNAs. HEY cells were transfected with either hsa-miR-7 (2 biological replicates) or a negative control miRNA, miR-NC (2 biological replicates), and then grown in 6-well plates for ~48 hours. The difference in miRNA expression pattern between the miR-7-transfected cells and the miR-NC-transfected cells was determined using an Affymetrix GeneChip miRNA Array.

2012-04-08 | E-GEOD-29129 | biostudies-arrayexpress

Gene expression profiling in Setx shRNA P19 cells, wild type human Setx P19 transfected cells with and without retionoic acid

Project description:Analysis of senataxin effect on neuronal differentiation and neurite growth in RA-treated P19 cells by modulating senataxin expression levels. Senataxin silencing does not grossly affect the gene expression profiles of P19 cells At day one total RNA from Setx shRNA P19 cells, wild type human Setx P19 transfected cells with and without retionoic acid were used to compare gene expression profiling versus P19 control cells

2010-07-10 | E-GEOD-21724 | biostudies-arrayexpress

Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

Project description:As the fetal heart develops, cardiomyocyte proliferation potential decreases while fatty acid oxidative capacity increases, a highly regulated transition known as cardiac maturation. Small noncoding RNAs, such as microRNAs (miRNAs), contribute to the establishment and control of tissue-specific transcriptional programs. However, small RNA expression dynamics and genome wide miRNA regulatory networks controlling maturation of the human fetal heart remain poorly understood. Transcriptome profiling of small RNAs revealed the temporal expression patterns of miRNA, piRNA, circRNA, snoRNA, snRNA and tRNA in the developing human heart between 8 and 19 weeks of gestation. Our analysis revealed that miRNAs were the most dynamically expressed small RNA species throughout mid-gestation. Cross-referencing differentially expressed miRNAs and mRNAs predicted 6,200 mRNA targets, 2134 of which were upregulated and 4066 downregulated as gestation progresses. Moreover, we found that downregulated targets of upregulated miRNAs predominantly control cell cycle progression, while upregulated targets of downregulated miRNAs are linked to energy sensing and oxidative metabolism. Furthermore, integration of miRNA and mRNA profiles with proteomes and reporter metabolites revealed that proteins encoded in mRNA targets, and their associated metabolites, mediate fatty acid oxidation and are enriched as the heart develops.This study revealed the small RNAome of the maturing human fetal heart. Furthermore, our findings suggest that coordinated activation and repression of miRNA expression throughout mid-gestation is essential to establish a dynamic miRNA-mRNA-protein network that decreases cardiomyocyte proliferation potential while increasing the oxidative capacity of the maturing human fetal heart.

2024-01-26 | PXD044936 | Pride

Integrated expression profiles of mRNA and miRNA in polarized primary murine microglia (miRNA)

Project description:The aim of this study was to determine the role that miRNAs have on influencing murine microgial phenotypes under M1(LPS) and M2a (IL-4) stimulating conditions. This Series includes expression data obtained from miRNA gene expression microarrays; mRNA expression profiles obtained from the same RNA samples were deposited as a separate Series. 9 total samples were analyzed, n=3 for the three stimulating conditions (resting state, LPS and IL-4) for murine primary microglia. This allowed us to perform the following pairwise comparisons: PBS vs. LPS, and PBS vs. IL-4. This was performed for both mRNA and miRNA gene expression profiles.

2014-03-13 | E-GEOD-49330 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data