Expression data comparing azacitidine and decitabine in non-small cell lung cancer lines
Transcriptomics Dataset
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General Information
AccessionGSE29077
TitleExpression data comparing azacitidine and decitabine in non-small cell lung cancer lines
DescriptionAzacitidine (AZA) and decitabine (DAC) are cytidine azanucleoside analogs with clinical activity in myelodysplastic syndromes (MDS) and potential activity in solid tumors. To better understand the mechanism of action of these drugs, we examined the effects of AZA and DAC in a panel of non-small cell lung cancer (NSCLC) cell lines. Of 5 NSCLC lines tested in a cell viability assay, all were sensitive to AZA (EC50 of 1.810.5 M), while only H1299 cells were equally sensitive to DAC (EC50 of 5.1 M). In the relatively DAC-insensitive cell line A549, both AZA and DAC caused DNA methyltransferase I depletion and DNA hypomethylation; however, only AZA significantly induced markers of DNA damage and apoptosis, suggesting that mechanisms in addition to, or other than, DNA hypomethylation are important for AZA-induced cell death. Cell cycle analysis indicated that AZA induced an accumulation of cells in sub-G1 phase, whereas DAC mainly caused an increase of cells in G2/M. Gene expression analysis of AZA- and DAC-treated cells revealed strikingly different profiles, with many genes distinctly regulated by each drug. In summary, while both AZA and DAC caused DNA hypomethylation, distinct effects were demonstrated on regulation of gene expression, cell cycle, DNA damage, and apoptosis.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE29077
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Keyword
Dataset Accession

Enrichr
Published May 2016
A comprehensive gene set enrichment analysis web server 2016 update
7759
65
Characteristic Direction
Published March 2014
A geometrical multivariate approach to identify differentially expressed genes
26829
GeneMANIA
Published June 2010
Biological network integration for gene prioritization and predicting gene function
7435
L1000CDS2
Published August 2016
An ultra-fast LINCS L1000 Characteristic Direction signature search engine
7756
PAEA
Published November 2015
Enrichment analysis tool implementing the principal angle method
3879
Canned Analyses generated with the dataset

Dataset Accession
Tool Name
Direction
Cell Type
Drug Name
Geneset

Small molecules which mimic Azacitidine treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Azacitidine treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
Small molecules which mimic Azacitidine treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Azacitidine treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
Small molecules which mimic Azacitidine treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Azacitidine treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
Small molecules which mimic Decitabine treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Decitabine treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
Small molecules which mimic Decitabine treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Decitabine treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
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