Unknown,Transcriptomics,Genomics,Proteomics

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


ABSTRACT: 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

ORGANISM(S): Homo sapiens

SUBMITTER: Xiao Xu 

PROVIDER: E-GEOD-41586 | 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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