Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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


ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Daphne Chen 

PROVIDER: E-GEOD-39338 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Erg and AP-1 as determinants of glucocorticoid response in acute lymphoblastic leukemia.

Chen D W-C DW   Saha V V   Liu J-Z JZ   Schwartz J-M JM   Krstic-Demonacos M M  

Oncogene 20120806 25


Glucocorticoids (GCs) are among the most widely prescribed medications in clinical practice. The beneficial effects of GCs in acute lymphoblastic leukemia (ALL) are based on their ability to induce apoptosis, but the underlying transcriptional mechanisms remain poorly defined. Computational modeling has enormous potential in the understanding of biological processes such as apoptosis and the discovery of novel regulatory mechanisms. We here present an integrated analysis of gene expression kinet  ...[more]

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