Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Molecular mechanisms and potential therapeutic drugs linking to cetuximab-induced reactions in human cells (HaCaT cells)

ABSTRACT: To obtain differentially expressed genes associated with cetuximab induced cytotoxicity we analyzed RNA samples using whole genome microarray expression profiling as a discovery platform to identify genes . Two kinds of RNA samples were extracted from HaCaT and HEK 293 cell; without cetuximab and incubation for 24 hours with 1.63μM (fixed maintenance dose) cetuximab.

ORGANISM(S): Homo sapiens

PROVIDER: GSE111885 | GEO | 2018/09/30

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Molecular mechanisms and potential therapeutic drugs linking to cetuximab-induced reactions in human cells (HEK 293 cells)

Project description:To obtain differentially expressed genes associated with cetuximab induced cytotoxicity we analyzed RNA samples using whole genome microarray expression profiling as a discovery platform to identify genes . Two kinds of RNA samples were extracted from HaCaT and HEK 293 cell; without cetuximab and incubation for 24 hours with 1.63μM (fixed maintenance dose) cetuximab.

2018-09-30 | GSE111886 | GEO

Molecular mechanisms and potential therapeutic drugs linking to cetuximab-resistance reactions in cancer cells

Project description:To obtain differentially expressed genes associated with cetuximab resistance mechanism, we analyzed RNA samples using whole genome microarray expression profiling as a discovery platform to identify genes. Two kinds of RNA samples were extracted from SAS, Sa3, and HSC-3 cells: control cells and cetuximab-resistant cells.

2018-12-01 | GSE114928 | GEO

Molecular mechanisms and potential therapeutic drugs linking to cetuximab-induced reactions in human cells (HaCaT cells)

Project description:Molecular mechanisms and potential therapeutic drugs linking to cetuximab-induced reactions in human cells (HaCaT cells)

| PRJNA438485 | ENA

Molecular mechanisms and potential therapeutic drugs linking to cetuximab-induced reactions in human cells (HEK 293 cells)

Project description:Molecular mechanisms and potential therapeutic drugs linking to cetuximab-induced reactions in human cells (HEK 293 cells)

| PRJNA438486 | ENA

Molecular mechanisms and potential therapeutic drugs linking to cetuximab-induced reactions in human cells

Project description:This SuperSeries is composed of the SubSeries listed below.

2018-09-30 | GSE111887 | GEO

Molecular mechanisms and potential therapeutic drugs linking to cetuximab-induced reactions in human cells

Project description:Molecular mechanisms and potential therapeutic drugs linking to cetuximab-induced reactions in human cells

| PRJNA438483 | ENA

Molecular mechanisms and potential therapeutic drugs linking to cetuximab-resistance reactions in cancer cells

Project description:Molecular mechanisms and potential therapeutic drugs linking to cetuximab-resistance reactions in cancer cells

| PRJNA473145 | ENA

Gene expression signatures modulated by epidermal growth factor receptor activation and their relationship to cetuximab resistance in head and neck squamous cell carcinoma

Project description:Aberrant activation of signaling pathways controlled in normal epithelial cells by the epidermal growth factor receptor (EGFR) has been linked to cetuximab (a monoclonal antibody against EGFR) resistance in head and neck squamous cell carcinoma (HNSCC). To infer relevant and specific pathway activation downstream of EGFR from gene expression in HNSCC, we generated gene expression signatures using immortalized keratinocytes (HaCaT) subjected to either ligand stimulation or pharmacological inhibition of the signaling intermediaries PI-3-Kinase and MEK or transfected with EGFR, RELA/p65, or HRASVal12. The gene expression patterns that distinguished the various HaCaT variants and conditions were inferred using the Markov chain Monte Carlo (MCMC) matrix factorization algorithm Coordinated Gene Activity in Pattern Sets (CoGAPS). This approach inferred gene expression signatures with greater relevance to cell signaling pathway activation than the expression signatures inferred with standard linear models. Furthermore, the pathway signature generated using HaCaT-HRASVal12 further associated with the cetuximab treatment response in isogenic cetuximab-sensitive (UMSCC1) and -resistant (1CC8) cell lines. Our data suggest that the CoGAPS algorithm can generate gene expression signatures that are pertinent to downstream effects of receptor signaling pathway activation and potentially be useful in modeling resistance mechanisms to targeted therapies. 58 total RNA collected from HaCaT cell lines with combinations of the following experimental conditions: forced expression of EGFR, RELA/p65, and HRAS-VAL12D; grown in PBS, serum starve, and media stimulated with TNF or EGF; treated with gefitinib, LY294002, and U1026.

2012-05-22 | E-GEOD-32975 | biostudies-arrayexpress

Gene expression signatures modulated by epidermal growth factor receptor activation and their relationship to cetuximab resistance in head and neck squamous cell carcinoma

2012-05-23 | GSE32975 | GEO

MIR-204 target genes

Project description:The aim of this study is to discover genes regulated by miR-204. Differential gene expression in HEK-293 cells transfected with miR-204-mimic compared to HEK-293 cells transfected with control oligo (HEK-293 control) was analyzed using the Agilent Human Whole Genome 4x44K gene expression array (Agilent Technologies, Santa Clara, CA).

2012-03-31 | GSE28400 | 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