Unknown,Transcriptomics,Genomics,Proteomics

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


ABSTRACT: 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 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

ORGANISM(S): Homo sapiens

SUBMITTER: Xiao Xu 

PROVIDER: E-GEOD-41364 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

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]

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