Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MicroRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO1]

ABSTRACT: Analysis of gene expression in ovarian cancer cells with and without overexpression of the miRNA mir-124 which will provide data about genes possibly directly regulated by miR-124. Also, analysis of gene expression in ovarian cancer cells with and without knockdown of the homeodomain transcription factor SIX4 (a target of miR-124) which will provide data about genes possibly directly regulated by SIX4

ORGANISM(S): Homo sapiens

PROVIDER: GSE67327 | GEO | 2015/03/27

SECONDARY ACCESSION(S): PRJNA279518

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO4]

2015-03-27 | GSE67328 | GEO

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO4]

Project description:Analysis of gene expression in ovarian cancer cells with and without overexpression of the miRNA mir-124 which will provide data about genes possibly directly regulated by miR-124. Also, analysis of gene expression in ovarian cancer cells with and without knockdown of the homeodomain transcription factor SIX4 (a target of miR-124) which will provide data about genes possibly directly regulated by SIX4 Total RNA was isolated from PEO4 cells transfected with miRNA mimic negative control (miNC), miR-124 mimic, siRNA negative control (siNC) oligo, or siRNA targeting the SIX4 gene (siSIX4) 72 hours post-transfection

2015-03-27 | E-GEOD-67328 | biostudies-arrayexpress

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [PEO1]

Project description:Analysis of gene expression in ovarian cancer cells with and without overexpression of the miRNA mir-124 which will provide data about genes possibly directly regulated by miR-124. Also, analysis of gene expression in ovarian cancer cells with and without knockdown of the homeodomain transcription factor SIX4 (a target of miR-124) which will provide data about genes possibly directly regulated by SIX4 Total RNA was isolated from PEO1 cells transfected with miRNA mimic negative control (miNC), miR-124 mimic, siRNA negative control (siNC) oligo, or siRNA targeting the SIX4 gene (siSIX4) 72 hours post-transfection

2015-03-27 | E-GEOD-67327 | biostudies-arrayexpress

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [miRNA]

Project description:Analysis of microRNA (miRNA) expression in ovarian cancer cell lines and human ovarian surface epithelium (HOSE) in order to identify differentially expressed miRNAs between cancer lines and HOSE Total RNA was isolated from cells 72 hours after plating

2015-03-27 | E-GEOD-67329 | biostudies-arrayexpress

microRNA Induction of Fatal Differentiation Programs is a Context-selective Vulnerability in Ovarian Cancer Cells [miRNA]

2015-03-27 | GSE67329 | GEO

MiR-124 synergism with ELAVL3 enhances target gene expression to promote neuronal maturity [Rat_Neurons_RNAseq]

Project description:Neuron-enriched microRNAs (miRNAs), miR-9/9* and miR-124 (miR-9/9*-124), direct cell fate switching of human fibroblasts to neurons when ectopically expressed by repressing anti-neurogenic genes. How these miRNAs function after the onset of the transcriptome switch to a neuronal fate remains unclear. Here, we identified direct targets of miRNAs by Argonaute (AGO) HITS-CLIP as reprogramming cells activate the neuronal program and reveal the role of miR-124 that directly promotes the expression of its target genes associated with neuronal development and function.

2021-05-25 | GSE161240 | GEO

MiR-124 synergism with ELAVL3 enhances target gene expression to promote neuronal maturity [TD_RNAseq]

2021-05-25 | GSE161239 | GEO

MiR-124 synergism with ELAVL3 enhances target gene expression to promote neuronal maturity [HNs_RNAseq]

2021-05-25 | GSE161238 | GEO

MiR-124 synergism with ELAVL3 enhances target gene expression to promote neuronal maturity [HITS-CLIP]

2021-05-25 | GSE161237 | GEO

Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis [AGO2-RIP-Seq]

Project description:Non-coding RNAs regulate many biological processes including neurogenesis. The brain-enriched miR-124 is assigned as a key player of neuronal differentiation via its complex, but little understood, regulation of thousands of annotated targets. To systematically chart its regulatory functions, we used CRISPR/Cas9 gene editing to disrupt all six miR-124 alleles in human stem cells. Upon neuronal induction, miR-124-depleted cells underwent neurogenesis and became functional neurons, albeit with altered morphology and neurotransmitter specification. By RNA-induced-silencing-complex precipitation, we found that other miRNA species were upregulated in miR-124 depleted neurons. Furthermore, we identified 98 miR-124 targets of which some directly led to decreased viability. We performed advanced transcription-factor-network analysis and revealed indirect miR-124 effects on apoptosis and neuronal subtype differentiation. Our data emphasizes the need for combined experimental- and systems-level analyses to comprehensively disentangle and reveal miRNA functions, including their involvement in the neurogenesis of diverse neuronal cell types found in the human brain.

2018-10-08 | GSE118299 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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