Dataset: Expression data from glucocorticoid-treated ALL (CCRF-CEM-C7-14 cells)

The beneficial effects of glucocorticoids (GCs) in acute lymphoblastic leukemia (ALL) are based on their ability to induce apoptosis. Omics technologies such as DNA microarray analysis are widely used to study the changes in gene expression and have been successfully implemented in biomarker identification. In addition, time series studies of gene expression enable the identification of correlations between kinetic profiles of glucocorticoid receptor (GR) target genes and diverse modes of transcriptional regulation. This study presents a genome-wide microarray analysis of both our and published Affymetrix HG-U133 Plus 2.0 data in GCs-sensitive and -resistant ALL. GCs-sensitive CCRF-CEM-C7-14 cells were treated with dexamethasone at three time points (0 h, 2 h and 10 h). The treated samples were then compared to the control (0 h). Dexamethasone-treated CCRF-CEM-C7-14 samples were divided into 3 groups based on time points: the untreated control (0 h), 2 h and 10 h.

Species:

human

Samples:

8

Source:

E-GEOD-39338

Updated:

Dec.12, 2014

Registered:

Sep.19, 2014