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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Expression data for HT29 cells treated with 5-aza-deoxy-cytidine

ABSTRACT: This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Xiao Xu

PROVIDER: E-GEOD-41588 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Parallel comparison of Illumina RNA-Seq and Affymetrix microarray platforms on transcriptomic profiles generated from 5-aza-deoxy-cytidine treated HT-29 colon cancer cells and simulated datasets.

Xu Xiao X Zhang Yuanhao Y Williams Jennie J Antoniou Eric E McCombie W Richard WR Wu Song S Zhu Wei W Davidson Nicholas O NO Denoya Paula P Li Ellen E

BMC bioinformatics 20130628

<h4>Background</h4>High throughput parallel sequencing, RNA-Seq, has recently emerged as an appealing alternative to microarray in identifying differentially expressed genes (DEG) between biological groups. However, there still exists considerable discrepancy on gene expression measurements and DEG results between the two platforms. The objective of this study was to compare parallel paired-end RNA-Seq and microarray data generated on 5-azadeoxy-cytidine (5-Aza) treated HT-29 colon cancer cells ...[more]

PMID: 23902433

Similar Datasets

Expression data for HT29 cells treated with 5-aza-deoxy-cytidine [Affymetrix]

Project description:The RNA samples from HT-29 (ATCC) colon cancer cell line were reverse transcribed into cDNAs and categorized in 3 groups with different concentrations of 5-aza-deoxy-cytidine (5-Aza); in each group three replicative 150 mm cultures were treated with: 1) dimethyl sulfoxide (vehicle alone, 0 Î¼M 5-Aza); 2) 5Î¼M 5-Aza and 3) 10 Î¼M 5-Aza; for five days We then used Affymetrix microarray platform to profile the gene expression of the 3 HT29 cell groups (3 replicates in each group) in order to search for differentially expressed genes The transcriptional response of HT-29 (ATCC) colon cancer cell line under 3 concentrations of 5-aza-deoxy-cytidine was investigated based on their RNA expression profiles

2013-09-17 | E-GEOD-41364 | biostudies-arrayexpress

Expression data for HT29 cells treated with 5-aza-deoxy-cytidine [RNA-Seq]

Project description:The RNA samples from HT-29 (ATCC) colon cancer cell line were reverse transcribed to build cDNA libraries and categorized into 3 groups with different concentrations of 5-aza-deoxy-cytidine (5-Aza); in each group three replicative 150 mm cultures were treated with: 1) dimethyl sulfoxide (vehicle alone, 0 μM 5-Aza); 2) 5μM 5-Aza and 3) 10 μM 5-Aza; for five days. This experiment was also performed parallel on a commercial Affymetrix microarray [GSE41364] and the aim of the study was to compare the two platforms on gene expression measurements and differentially expressed gene (DEG) detection. The results showed a strong correlation between the two platforms, yet it also confirmed the existence of fixed and proportional biases on the gene expression measurements between microarray and RNA-Seq. The DEG analysis indicated the relative superiority of DESeq method in terms of its performance; high consistency was confirmed between DESeq, baySeq methods from RNA-Seq and SAM/eBayes from microarray data. Experiment on human colon cancer HT29 cell line treated with 3 concentrations of 5-aza-deoxy-cytidine

2013-09-17 | E-GEOD-41586 | biostudies-arrayexpress

Gene microarray data for HT-29 monolayer and spheroids

Project description:Colorectal cancers have a rare population of cells that express specific cell surface markers, and are referred to as cancer stem cells (CSC). Targeting CSCs, implicated in tumor relapse, is a paradigm shifting approach for colorectal cancer. We used gene microarray to analyze gene expression in HT-29, a colon cancer cell line, grown as monolayer and spheroid and identify metabolic pathways that are upregulated. HT-29 monolayer cells were grown in DMEM/F12 media supplemented with 10% FBS, and 1X Antibiotic-Antimycotic liquid (AA); and spheroids were grown in stem cell media [DMEM:F12, 1X AA, 1X B27, epidermal growth factors, and fibroblast growth factor for five days. Total RNA was isolated using the mirVana™ miRNA Isolation Kit according to the manufacturer's protocol. RNA intergrity was confirmed on the Nanodrop ND-1000 and analyzed with Agilent 2100 bioanalyzer. The arrays were scanned with the Affymetrix 3000 7G plus scanner.

2015-04-01 | E-GEOD-65433 | biostudies-arrayexpress

Expression data for HT29 cells treated with 5-aza-deoxy-cytidine

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

2013-09-17 | GSE41588 | GEO

Expression data for HT29 cells treated with 5-aza-deoxy-cytidine [Affymetrix]

Project description:The RNA samples from HT-29 (ATCC) colon cancer cell line were reverse transcribed into cDNAs and categorized in 3 groups with different concentrations of 5-aza-deoxy-cytidine (5-Aza); in each group three replicative 150 mm cultures were treated with: 1) dimethyl sulfoxide (vehicle alone, 0 μM 5-Aza); 2) 5μM 5-Aza and 3) 10 μM 5-Aza; for five days We then used Affymetrix microarray platform to profile the gene expression of the 3 HT29 cell groups (3 replicates in each group) in order to search for differentially expressed genes

2013-09-17 | GSE41364 | GEO

Expression data for HT29 cells treated with 5-aza-deoxy-cytidine [RNA-Seq]

2013-09-17 | GSE41586 | GEO

Methylation-silenced genes in colorectal cancer cell lines

Project description:Using an oligonucleotide array, we undertook a genome-wide search for genes upregulated following treatment with a demethylating agent in two CRC cell lines. Promoter methylation status was determined in 12 CRC cell lines and 11 CRC tissues. After the treatment, 350 genes were upregulated 1.5 fold or more. Six genes (PAGE-5, VCX, MAEL, GAGED2, UCHL1, and GAGE7), which contained putative 5'CpG islands in their promoter regions, were confirmed to be silenced in CRC cell lines. The median level of UCHL1 gene expression in cell lines with methylation was significantly lower than that in cell lines without methylation (P = 0.032). The level of methylation of UCHL1 was significantly higher in tumors than in corresponding normal mucosae (P = 0.005). Chemical genomic screening led to the identification of a specific promoter subject to hypermethylation in CRC. These results suggest that aberrant promoter methylation is the primary mechanism of transcriptional silencing of the UCHL1 gene and that methylation of the UCHL1 gene promoter increases during the development and progression of CRC Keywords: Methylation Analysis This study explored methylation-silenced genes in colorectal cancer (CRC) cell lines. Using an oligonucleotide array, a genome-wide search for genes upregulated following treatment with a demethylating agent, 5-aza-2â??-deoxycitidine, in two CRC cell lines, DLD-1 and HT-29, was performed. Promoter methylation status of candidate genes silenced and upregulated following the treatment was determined in 12 CRC cell linesby methylation-specific PCR.

2010-06-11 | E-GEOD-7687 | biostudies-arrayexpress

Intra-macrophage Expression data of Francisella tularensis novicida U112

Project description:These samples are part of an experiment comparing the expression profiles of Francisella tularensis novicida grown in chemically defined medium and bacteria isolated 24 hours post infection of J774 macrophages to identify virulence factors Custom microarray submitted previously was used as the platform (GPL20119). The samples submitted here were compared with samples submitted previously (GSM1673555-57 in GSE68478) and differentially expressed genes during the intra-macrophage growth were identified.

2017-05-02 | E-GEOD-75689 | biostudies-arrayexpress

(CTA) expression after exposure to 5-aza-2'-deoxycytidine in HCT116 cells

Project description:The expression of CTAs is normally restricted to gametogenic tissue but is often reactivated in the tumorigenic setting. This tumorigenic reactivation is thought to be due to global demethylation events during tumorigenesis. To test this, we employed an affymetrix microarray in the hypermethylated colorectal carcinoma tumor-derived cell line, HCT116, following 5-aza-2'-deoxycytidine treatment. We used microarray analysis to uncover genes whose expression is modulated by DNA methylation in the colorectal carcinoma tumor derived cell line, HCT116. HCT116 cells were exposed to 5-aza-2'-deoxycytidine for 72 hours. Total RNA was isolated and hybridized on to Affymetrix microarrays.

2016-05-31 | E-GEOD-79041 | biostudies-arrayexpress

Mitochondria help avoid glucose addiction in cancer cells

Project description:Cancer cells consume large amounts of glucose because of their specific metabolic pathway. However, cancer cells exist in tumor tissue where glucose is insufficient. To survive, cancer cells likely have the mechanism to elude their glucose addiction. Here we show that functional mitochondria are essential if cancer cells are to avoid glucose addiction. Cancer cells with dysfunctional mitochondria, such as mitochondrial DNA-deficient rho0 cells and electron transport chain blocker-treated cells, were highly sensitive to glucose deprivation. Our data demonstrated that this sensitization was caused by failure of the unfolded protein response (UPR), an adaptive response mediated by the endoplasmic reticulum (ER). This study suggests a link between mitochondria and the ER during the UPR under glucose deprivation conditions and that mitochondria govern cell fate, not only through ATP production and apoptosis regulation but also through modulating the UPR for cell survival. Human cancer cell lines (HT-1080, HT-29, and mtDNA-deficient cells derived from these cell lines) were selected for RNA extraction and hybridization on Affymetrix microarrays. We examined the unfolded protein response (UPR), an adaptive response mediated by the endoplasmic reticulum (ER), of cancer cells under stress conditions. Abbreviations List: AA, antimycin A; Bu, buformin; Met, metformin; Phen, phenformin; Rot, rotenone; VST, versipelostatin; TM, tunicamycin; 2DG, 2-deoxyglucose; GS, glucose starvation. Capital S (_S) indicates the supernatant of sample including floating cells.

2010-05-28 | E-GEOD-16157 | biostudies-arrayexpress

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