GEO DataSets

Analysis of breast cancer cell lines BT-20 and Hs578T treated with methylated or un-methylated CpG DNA oligos: CDH13 and ODN 2006. Results provide insight into molecular mechanisms triggered by methylated, but not by unmethylated DNA, that could be involved in tumour biology.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 4 agent, 2 cell line sets

Platform:

GPL570

Series:

GSE22865

12 Samples

Download data: CEL

(Submitter supplied) Extracellular, cancer-specific methylated DNA has been shown to be a prognostic marker when detected in serum or plasma. In this study we investigated the effect of treating cancer cells with differentially methylated CpG DNA. When breast cancer cell lines were treated with methylated CpG DNA, a consistent upregulation of CHAC1 mRNA expression was observed. CHAC1 was recently described to be a novel component of the unfolded protein response pathway. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4092

Platform:

GPL570

12 Samples

Download data: CEL

(Submitter supplied) Biomarkers that predict disease progression might assist the development of better therapeutic strategies for aggressive cancers, such as ovarian cancer. Here, we investigated the role of collagen type XI alpha 1 (COL11A1) in cell invasiveness and tumor formation and the prognostic impact of COL11A1 expression in ovarian cancer. Microarray analysis suggested that COL11A1 is a disease progression-associated gene that is linked to ovarian cancer recurrence and poor survival.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

60 Samples

Download data: CEL

(Submitter supplied) SRSF3 is overexpressed in human invasive ovarian cancer and its overexpression is required for cancer cell growth and survival. To decipher the mechnisms behind the role of SRSF3 in ovarian cancer, we examined the gene expression and splicing in the ovarian cancer cell line that was engineered to express a doxycycline-induced SRSF3 siRNA, which was able to knockdown SRSF3 expression by 90% and induce apoptosis.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5188

4 Samples

Download data: CEL, CHP