Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

EGF decreases the abundance of microRNAs that restrain oncogenic transription factors

ABSTRACT: Epidermal growth factor (EGF) stimulates cells by launching gene expression programs that are frequently deregulated in cancer. MicroRNAs, which attenuate gene expression by binding complementary regions in messenger RNAs, are broadly implicated in cancer. Using genome-wide approaches, we showed that EGF stimulation initiates a coordinated transcriptional program of microRNAs and transcription factors. The earliest event involved a decrease in the abundance of a subset of 23 microRNAs. This step permitted rapid induction of oncogenic transcription factors, such as c-FOS, encoded by immediate early genes. In line with roles as suppressors of EGF receptor (EGFR) signaling, we report that the abundance of this early subset of microRNAs is decreased in breast and in brain tumors driven by the EGFR or the closely related HER2. These findings identify specific microRNAs as attenuators of growth factor signaling and oncogenesis

ORGANISM(S): Homo sapiens

PROVIDER: GSE40626 | GEO | 2012/09/06

SECONDARY ACCESSION(S): PRJNA174419

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

EGF decreases the abundance of microRNAs that restrain oncogenic transription factors

Project description:Epidermal growth factor (EGF) stimulates cells by launching gene expression programs that are frequently deregulated in cancer. MicroRNAs, which attenuate gene expression by binding complementary regions in messenger RNAs, are broadly implicated in cancer. Using genome-wide approaches, we showed that EGF stimulation initiates a coordinated transcriptional program of microRNAs and transcription factors. The earliest event involved a decrease in the abundance of a subset of 23 microRNAs. This step permitted rapid induction of oncogenic transcription factors, such as c-FOS, encoded by immediate early genes. In line with roles as suppressors of EGF receptor (EGFR) signaling, we report that the abundance of this early subset of microRNAs is decreased in breast and in brain tumors driven by the EGFR or the closely related HER2. These findings identify specific microRNAs as attenuators of growth factor signaling and oncogenesis 24 conditions: time course of 8 hours of HeLa and MCF10A cells after EGF or SERUM stimulation

2012-09-06 | E-GEOD-40626 | biostudies-arrayexpress

6KR-EGFR expressing MCF7 following EGF or HRG stimulation

Project description:EGF and HRG, growth factor ligands for EGFR and ErbB3/4 receptor, induce transient and sustained ERK activity associated with cellular proliferation and differentiation of MCF-7 cells, respectively. To rigorously analyze the effect of ERK signal duration for mRNA expression dynamics and its relationship with cell determination, we modified the EGF-triggered ERK signal duration by changing the EGFR activation dynamics by impairing the ubiquitination and degradation process. Mutation of the six lysine residues (6KR; K692, K713, K730, K843, K905 and K946) of the EGFR responsible for ubiquitin conjugation has shown sustained phosphorylation of the receptor (Huang et al, 2006; Goh et al, 2010). Therefore we constructed the MCF-7 cell lines that stably express 6KR EGFR (6KR), and analyzed signaling and mRNA expression dynamics in response to EGF and HRG.

2014-12-01 | GSE57547 | GEO

H1299 EGF and Iressa stimulation

Project description:Controlled activation of epidermal growth factor receptor (EGFR) is systematically guaranteed at the molecular level, however aberrant activation of EGFR is frequently found in cancer. Transcription induced by EGFR activation often involves coordinated expression of genes that positively and negatively regulate the original signaling pathway, therefore alterations in EGFR kinase activity may reflect changes in gene expression associated with the pathway. In this study, we investigated transcriptional changes following EGF stimulation with or without the EGFR kinase inhibitor Iressa in H1299 human non-small-cell lung cancer cells (parental H1299, H1299 cells which overexpress wild-type: EGFR-WT and mutant EGFR: L858R). Our results clearly showed differences in transcriptional activity in the absence or presence of EGFR kinase activity, and genes sharing the same molecular functions showed distinct expression dynamics. The results showed particular enrichment of EGFR/ErbB signaling-related genes in a differentially expressed gene set, and significant protein expression of MIG6/RALT(ERRFI1), an EGFR negative regulator, was confirmed in L858R. High MIG6 protein expression was correlated with basal EGFR phosphorylation and inversely correlated with EGF-induced ERK phosphorylation levels. Investigation of NCI-60 cell lines showed that ERRFI1 expression was correlated with EGFR expression regardless of tissue type. These results suggest that cells accumulate MIG6 as an inherent negative regulator to suppress excess EGFR activity when basal EGFR kinase activity is considerably high. Taken together, an EGFR mutation can cause transcriptional changes to accommodate the activation potency of the original signaling pathway at the cellular level.

2009-07-30 | GSE11729 | GEO

EGF decreases the abundance of microRNAs that restrain oncogenic transription factors

| S-ECPF-GEOD-40626 | biostudies-other

Human Mammary Epithelial Cell Response to EGF, microarray analysis

Project description:To understand how integration of multiple data types can help decipher cellular responses at the systems level, we analyzed the mitogenic response of human mammary epithelial cells to epidermal growth factor (EGF) using whole genome microarrays, mass spectrometry-based proteomics and large-scale western blots with over 1000 antibodies. A time course analysis revealed significant differences in the expression of 3172 genes and 596 proteins, including protein phosphorylation changes measured by western blot. Integration of these disparate data types showed that each contributed qualitatively different components to the observed cell response to EGF and that varying degrees of concordance in gene expression and protein abundance measurements could be linked to specific biological processes. Networks inferred from individual data types were relatively limited, whereas networks derived from the integrated data recapitulated the known major cellular responses to EGF and exhibited more highly connected signaling nodes than networks derived from any individual dataset. While cell cycle regulatory pathways were altered as anticipated, we found the most robust response to mitogenic concentrations of EGF was induction of matrix metalloprotease cascades, highlighting the importance of the EGFR system as a regulator of the extracellular environment. These results demonstrate the value of integrating multiple levels of biological information to more accurately reconstruct networks of cellular response. Keywords: time-course analysis

2010-04-14 | GSE15668 | GEO

Expression data from HELA cells subject to EGF stimulation

Project description:HELA cells derived from human cervical tumor were subjected to EGF stimulation for 0,20,40,60,120,240 and 480 minutes. We used microarrays to understand the temporal regulation of the cellular EGFR cascade. Keywords: time course

2007-03-01 | GSE6783 | GEO

Transcription profiling of rat astrocytes treated with epidermal growth factor (EGF)

Project description:Primary cultures of astrocytes from rat optic nerve heads were treated with EGFR ligand, EGF. Two cell lines from two different rat donors were used. The sister cell cultures were set as control and EGF treated groups. Experiment Overall Design: experiment #1: compared control astrocyte cultures to sister cultures treated with EGF for 4 hours. Experiment Overall Design: experiment #2: compared control astrocyte cultures to sister cultures treated with EGF for 12 hours

2007-11-29 | E-GEOD-5282 | biostudies-arrayexpress

Expression data from MCF10A cells subject to EGF stimulation

Project description:MCF10A cells derived from spontaneously immortalized normal human mammary epithel were subjected to EGF/SERUM stimulation for 0,20,40,60,120,240 and 480 minutes. We used microarrays to understand the temporal regulation of the cellular EGFR cascade. Keywords: time course

2007-03-01 | GSE6784 | GEO

Analysis of transcriptome changes of human epidermal stem cells treated by EGF

Project description:We report the application of transcriptome sequencing technology in the analysis of transcriptome changes in human epidermal stem cells after EGF incubation. We found that EGF can significantly change the gene transcription of human epidermal stem cells. There are 3,759 differential genes, which are highly related to wound healing and the proliferation and differentiation of epidermal stem cells. This study provides a basis for comprehensive analysis of the effect of EGF/EGFR pathway on epidermal stem cells.

2020-08-13 | GSE156089 | GEO

Expression data from normal human epidermal keratinocytes undergoing density-induced differentiation and treated with EGF

Project description:Combining genome-wide microarray and functional analyses, we found that EGFR activation abrogates barrier function, increasing transepidermal water loss (TEWL) and transepithelial permeability of water-soluble ions and higher molecular weight dextrans, in part by disrupting the expression of tight junction proteins. EGF decreases certain lipid matrix free fatty acids and ceramides by its actions to repress the expression of specific biosynthetic enzymes. Activation of EGFR inhibits cornified envelope formation by regulating the expression of 59 percent of the known contributing genes. EGF-responsiveness enriches more than 100 genes known to be associated with skin diseases. These data are used to obtain 2,676 density-dependent genes that are differentially expressed in response to EGF treatment.

2012-05-03 | GSE32217 | GEO

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