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Expression data from SP and non-SP sorted anti-EpCAM treated A549 cells

ABSTRACT: Targeted therapies against cancer stem cells, which are enriched in side populations (SP), involves interruption of Wnt-signalling. Furthermore, EpCAM is a SP marker and modulator of Wnt-signalling. Therefore, the effects of an anti-EpCAM treatment on SP-cells and WNT/β-catenin signalling was studied. SP of the human lung adenocarcinoma cell line A549 was obtained by fluorescence activated cell sorting and whole genome scans helped to define their molecular phenotype after anti-EpCAM antibody treatment. Anti-EpCAM treated and untreated A549 cells were subjected to Hoechst 33342 dye exclusion assay and sorted to SP and non-SP fractions by FACS. Three biological replicates.

ORGANISM(S): Homo sapiens

SUBMITTER: Krüwel Thomas

PROVIDER: S-ECPF-GEOD-31315 | biostudies-other |

REPOSITORIES: biostudies-other

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Expression data from SP and non-SP sorted anti-EpCAM treated A549 cells

Project description:Targeted therapies against cancer stem cells which are enriched in side populations (SP) involves interruption of Wnt-signalling. Furthermore, EpCAM is a SP marker and modulator of Wnt-signalling. Therefore, the effects of an anti-EpCAM treatment on SP-cells and WNT/β-catenin signalling was studied. SP of the human lung adenocarcinoma cell line A549 was obtained by fluorescence activated cell sorting and whole genome scans helped to define their molecular phenotype after anti-EpCAM antibody treatment.

2012-08-08 | GSE31315 | GEO

Expression data from SP and non-SP sorted anti-EpCAM treated A549 cells

Project description:Targeted therapies against cancer stem cells, which are enriched in side populations (SP), involves interruption of Wnt-signalling. Furthermore, EpCAM is a SP marker and modulator of Wnt-signalling. Therefore, the effects of an anti-EpCAM treatment on SP-cells and WNT/Î²-catenin signalling was studied. SP of the human lung adenocarcinoma cell line A549 was obtained by fluorescence activated cell sorting and whole genome scans helped to define their molecular phenotype after anti-EpCAM antibody treatment. Anti-EpCAM treated and untreated A549 cells were subjected to Hoechst 33342 dye exclusion assay and sorted to SP and non-SP fractions by FACS. Three biological replicates.

2012-08-07 | E-GEOD-31315 | biostudies-arrayexpress

Expression data from SP and non-SP sorted anti-EpCAM treated A2C12 cells

Project description:Targeted therapies against cancer stem cells which are enriched in side populations (SP) involves interruption of Wnt-signalling. Furthermore, EpCAM is a SP marker and modulator of Wnt-signalling. Therefore, the effects of an anti-EpCAM treatment on SP-cells and WNT/β-catenin signalling was studied. SP of the murine lung adenocarcinoma cell line A2C12 was obtained by fluorescence activated cell sorting and whole genome scans helped to define their molecular phenotype after anti-EpCAM antibody treatment.

2012-08-08 | GSE31246 | GEO

Expression data from SP and non-SP sorted anti-EpCAM treated A2C12 cells

Project description:Targeted therapies against cancer stem cells which are enriched in side populations (SP) involves interruption of Wnt-signalling. Furthermore, EpCAM is a SP marker and modulator of Wnt-signalling. Therefore, the effects of an anti-EpCAM treatment on SP-cells and WNT/M-NM-2-catenin signalling was studied. SP of the murine lung adenocarcinoma cell line A2C12 was obtained by fluorescence activated cell sorting and whole genome scans helped to define their molecular phenotype after anti-EpCAM antibody treatment. Anti-EpCAM treated and untreated A2C12 cells were subjected to Hoechst 33342 dye exclusion assay and sorted to SP and non-SP fractions by FACS. Three biological replicates.

2012-08-07 | E-GEOD-31246 | biostudies-arrayexpress

Expression data from SP and non-SP sorted anti-EpCAM treated A2C12 and A549 cells compared to non-transgenic lung tissue

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

2012-08-08 | GSE31317 | GEO

Expression data from SP and non-SP sorted anti-EpCAM treated A2C12 and A549 cells compared to non-transgenic lung tissue

Project description:This SuperSeries is composed of the following subset Series: GSE31246: Expression data from SP and non-SP sorted anti-EpCAM treated A2C12 cells GSE31313: Expression data from anti-EpCAM treated and untreated SP cells compared to lung tissue GSE31315: Expression data from SP and non-SP sorted anti-EpCAM treated A549 cells Refer to individual Series

2012-08-07 | E-GEOD-31317 | biostudies-arrayexpress

Expression data from anti-EpCAM treated and untreated SP cells compared to lung tissue

Project description:Targeted therapies against cancer stem cells which are enriched in side populations (SP) involves interruption of Wnt-signalling. Furthermore, EpCAM is a SP marker and modulator of Wnt-signalling. Therefore, the effects of an anti-EpCAM treatment on SP-cells and WNT/β-catenin signalling was studied. SP of the murine lung adenocarcinoma cell line A2C12 was obtained by fluorescence activated cell sorting and whole genome scans helped to define their molecular phenotype after anti-EpCAM antibody treatment.

2012-08-08 | GSE31313 | GEO

Expression data from TGFbeta-treated control or aPKC silenced A549 cells

Project description:Aberrant TGFbeta signalling is a hallmark of epithelial derived tumours. Signalling patterns can depend on the membrane trafficking and internalization of the TGFbeta receptors. Protein kinase C (PKC), particularly the atypical PKC isoforms, alter the trafficking of TGFbeta receptors and can alter TGFbeta induced gene expression. We used microarrays to detail the programme of gene expression underlying TGFbeta induction between control or aPKC silenced A549 cells. Control or aPKC silenced A549 cells were serum starved and treated with TGFbeta for 1 hour. Total RNA was extracted from untreated or TGFbeta treated cells after 8 and 24 hours and analyzed using Affymetrix microarrays. We sought to assess TGFbeta gene expression in aPKC silenced lung cancer cells, as we found that knockdown of aPKC extends TGFbeta signalling as assessed by phospho Smad2 levels. Furthermore, increased expression and oncogenic activity of aPKC (PKCiota) has been reported in lung cancer cells.

| S-ECPF-GEOD-26241 | biostudies-other

Expression data analyzed with LPIA in A549 lung carcinoma cells treated with geldanamycin

Project description:The statsitcal model, latent pathway identification analysis (LPIA), was implemented for the analysis of A549 lung carcinoma cells treated with geldanamycin. Control and treated samples were assayed with Affymetrix HG_U133_plus_2 arrays and analyzed using LPIA. LPIA looks for statistically signﬁcant evidence of dysregulation in a network of pathways constructed in a manner that explicitly links pathways through their common function in the cell. Geldanamycin (geld) is known to inhibit the molecular chaperone protein, Hsp90, and plays a role in preventing the malignant transformation and proliferation of healthy cells during oncogenesis. LPIA successfully identified pathways specific to geldanamycin effects at the gene transcription level. A549 lung carcinoma cells were allowed to adhere for 24h and further incubated in the presence of geldanamycin at a concentration equivalent to the determined IC50 of 40 nM or IC20 of 10 nM, or with vehicle DMSO (final concentration 0.4%). After 24h and 48 h, cells were harvested and total RNA was purified and processed for Affymetrix HG_U133_Plus_2.0 microarray analysis. Raw probe intensities were RMA-normalized and avereaged for three replicates for each condition. Probe sets for 54,120-annotated open reading frames were included in LPIA analysis.

| S-ECPF-GEOD-26525 | biostudies-other

mRNA Expression data from A549 cell line post non-thermal plasma treatment

Project description:Although accumulated evidence suggests that NTP induces death of various cancer cell types, thus offering a promising alternative treatment, the mechanism of its therapeutic effect is little understood. To understand basic molecular and cellular mechanisms triggered by plasma treatment, we firstly investigated biological effects of helium plasma on human non-small cell lung cancer A549 cell line. The presented data of the tumor transcriptome help identifying the key players of modulated gene expression following exposure to plasma at the molecular level and interpreting the downstream process. We set several groups including 1 min plasma treatment, 3 min plasma treatment and sham control. In 1 min group, we collected samples at 4 hr postr the stimulation, and in 3 min group, the samples at 1, 2, 4 h after treatment have been collected for analysis.

| S-ECPF-GEOD-59997 | biostudies-other

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