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 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
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
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
Project description:Human scrotum and labia majora samples treated with DHT and/or AZA A compound treatment design type is where the response to administration of a compound or chemical (including biological compounds such as hormones) is assayed. Compound Based Treatment: dihydrotestosterone (DHT), 5-aza-deoxy-cytidine (AZA), none or both Cell Line: normal scrotum or labia majora derived from complete androgen insensitivity syndrome due to inactivating mutation of the androgen receptor gene
Project description:Human scrotum and labia majora samples treated with DHT and/or AZA A compound treatment design type is where the response to administration of a compound or chemical (including biological compounds such as hormones) is assayed. Compound Based Treatment: dihydrotestosterone (DHT), 5-aza-deoxy-cytidine (AZA), none or both Cell Line: normal scrotum or labia majora derived from complete androgen insensitivity syndrome due to inactivating mutation of the androgen receptor gene Computed
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.