E-GEOD-7382
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA343958PRJNA100389
PROVIDER: E-GEOD-7382 | ExpressionAtlas | 2015-06-26
REPOSITORIES: ExpressionAtlas
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Project description:Expression profiling of MCF-7 cells with inducible LMO4 and DN-Clim expression
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Project description:A series of MCF-7 variants were previously developed that are estrogen-dependent for growth (MCF-7:WS8 cells), or resistant to estrogen deprivation/vulnerable to fast (MCF-7:5C) and delayed (MCF-7:2A) E2-inducible apoptosis. To identify miRNAs associated with aromatase inhibitor (AI)-resistance and vulnerability to E2-induced apoptosis, estrogen deprivation-resistant 5C and 2A cells were compared to estrogen-dependent WS8 cells and among each other.
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Project description:Microarray analyses with cells/tissues overexpressing YAP have revealed many transcription targets of YAP (Dong et al, 2007; Zhao et al, 2008). However, as YAP induces transformation of non-cancerous cells, we thought many of known targets of YAP may be indirect consequence of transforming property of YAP. To identify the immediate transcription targets for YAP, we utilized immortalized mammary epithelial MCF-10A cells expressing a tamoxifen inducible, hyperactive (S127/381A) YAP mutant (MCF-10A ERT2-YAP 2SA). MCF-10A ERT2 and MCF-10A ERT2-YAP 2SA are generated. Each cell line was treated with 0.1% of ethanol (solvent) or 1uM of 4-hydroxytamoxifen for 2 or 6 hours. This makes 6 samples per set. The experiments were done in duplicate. The expression data from MCF-10A ERT2 and MCF-10A ERT2-YAP 2SA before tamoxifen treatment can serve as control.
2015-11-23 | E-GEOD-60579 | biostudies-arrayexpress
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Project description:Signal transducer and activator of transcription 3 (STAT3) is a critical transcription factor in cancer. However, while the protein-coding target genes of STAT3 have been extensively studied, the microRNA target genes of STAT3 are less understood. MicroRNAs are short, non-coding RNAs that regulate messenger RNAs through translational inhibition and transcript degradation. They have been found to be involved in all aspects of cancer biology. Given the roles of both STAT3 and miRNAs in cancer, the function of STAT3 as a transcription factor, and the dearth of known STAT3 miRNA targets, our goal was to identify novel STAT3 miRNA targets relevant to cancer. To do so, we engineered MCF-10A cells with doxycycline-inducible expression of STAT3C. STAT3C is a constitutively-active mutant version of STAT3. Although STAT3 can be activated by various growth factors and kinases, other pathways can be activated as well, which would confound analysis of the results. Thus, the advantage of STAT3C is that it allowed specific and focused activation of STAT3 alone, and this screen represents the first genome-wide survey of miRNA expression changes associated specifically with STAT3 activity. MCF-10A, a non-transformed breast epithelial cell line, was chosen because STAT3C has been reported to be sufficient to cause their neoplastic transformation. Therefore, we reasoned that analysis of STAT3C’s effects in MCF-10A cells would be especially informative for STAT3-regulated miRNAs relevant to cancer. As a result of our study, we identified previously-known as well as novel miRNA targets of STAT3. Doxycycline-inducible MCF-10A cells were seeded, and then untreated (grown in standard growth media alone) or treated with 2?g/ml doxycycline for 48hr. Each condition was performed in biological triplicate (labeled A, B, and C), for a total of 6 samples. Total RNA was harvested and submitted to the Dana-Farber Cancer Institute Molecular Diagnostics Laboratory. MicroRNA expression profiling was performed using TaqMan Low-Density Arrays (TLDA), human miRNA version 2.0A and version 3.0B cards (Applied Biosystems).
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