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GSE19777
Homo sapiens
8 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Full title: Expression data from antisense miRNA-221/222 (si221/222) and control inhibitor (GFP) treated fulvestrant-resistant breast cancer cells
Publication Title
MicroRNA-221/222 confers breast cancer fulvestrant resistance by regulating multiple signaling pathways.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Compare the expression pattern of 17b-estradiol responsive genes in parent, OHT-resistant and ICI-resistant breast cancer cells.
Publication Title
Diverse gene expression and DNA methylation profiles correlate with differential adaptation of breast cancer cells to the antiestrogens tamoxifen and fulvestrant.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The physiological function of the immune system and the response to therapeutic immunomodulators may be sensitive to combinatorial cytokine micro-environments that shape the responses of specific immune cells. Previous work shows that paracrine cytokines released by virus-infected human dendritic cells (DC) can dictate the maturation state of nave DCs. To understand the effects of paracrine signaling, we systematically studied the effects of combinations cytokines in this complex mixture in generating an antiviral state. After nave DCs were exposed to either IFN or to paracrine signaling released by DCs infected by Newcastle Disease Virus (NDV), microarray analysis revealed a large number of genes that were differently regulated by the DC-secreted paracrine signaling. In order to identify the cytokine mechanisms involved, we identified 20 cytokines secreted by NDV infected DCs for which the corresponding receptor gene is expressed in nave DCs. By exposing cells to all combinations of 19 cytokines (leave-one-out studies) we identified 5 cytokines (IFN, TNF, IL-1, TNFSF15 and IL28) as candidates for regulating DC maturation markers. Subsequent experiments identified IFN, TNF and IL1 as the major synergistic contributors to this antiviral state. This finding was supported by infection studies in vitro, by T cell activation studies and by in vivo infection studies in mouse. Combination of cytokines can cause response states in DCs that differ from those achieved by the individual cytokines alone. These results suggest that the cytokine microenvironment may act via a combinatorial code to direct the response state of specific immune cells. Further elucidation of this code may provide insight into responses to infection and neoplasia as well as guide the development of combinatorial cytokine immunomodulation for infectious, autoimmune and immunosurveillance-related diseases.
Publication Title
Combinatorial cytokine code generates anti-viral state in dendritic cells.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The Lim1 gene has essential functions during several stages of kidney development. In particular, a tissue specific knockout in the early metanephric mesenchyme results in the formation of the earliest nephron precursor, the renal vesicle, but failure of this structure to progress to the next stage, the comma shaped body. To better understand the molecular nature of this developmental arrest we used a laser capture microdissection-microarray strategy to examine the perturbed gene expression pattern of the mutant renal vesicles. Among the genes found differently expressed were Chrdl2, an inhibitor of BMP signaling, the pro-apoptotic factor Bmf, as well as myob5, an atypical myosin which modulates chemokine and transferring signaling, and pdgfr1, which is important in epithelial folding. Of particular interest, the microarray data indicated that the Dkk1 gene, which encodes an inhibitor of Wnt signaling, was downregulated nine fold in mutants. This was confirmed by in situ hybridizations. It is interesting to note that Lim1 and Dkk1 mutant mice have striking similarities in phenotype. These results suggest that the Dkk1 gene might be a key downstream effector of Lim1 function.
Publication Title
Laser capture-microarray analysis of Lim1 mutant kidney development.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We used microarray to characterize interferon stimulated genes in dendritic cells
Publication Title
Comparative analysis of anti-viral transcriptomics reveals novel effects of influenza immune antagonism.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 28 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
Complete (whole) embryonic kidneys were dissected from wild type and Hoxa11, Hoxd11 compound null embryons throughout development. Targets from two biological replicates of each were generated and the expression profiles were determined using Affymetrix MOE430A and MOE430B arrays. Comparisons between normal and mutant and comparisons of development samples identified global patterns of gene regulation in kidney development
Publication Title
Comprehensive microarray analysis of Hoxa11/Hoxd11 mutant kidney development.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 16 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
E11.5 metanephric mesenchyme and ureteric bud were dissected from the E11.5 kidney rudiment using fine manual microdissection (ureteric bud only) or both fine manual microdissection and laser capture microdissection (metanephric mesenchyme) to define the gene expression profiles of these structures. Additionally, HoxA11, HoxD11 compound null E11.5 metanephric mesenchyme was obtained through laser capture microdissection allowing analysis of possible Hox targets in kidney development. Targets from multiple biological replicates of each were generated and the expression profiles were determined using Affymetrix MOE430_v2 arrays.
Publication Title
Comprehensive microarray analysis of Hoxa11/Hoxd11 mutant kidney development.
Sample Metadata Fields
No sample metadata fields
View Samples- Drosophila melanogaster
- 5 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
The MOF-containing NSL complex associates globally with housekeeping genes, but activates only a defined subset.
Sample Metadata Fields
Sex, Specimen part, Cell line
View Samples- Drosophila melanogaster
- 5 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
The MOF-containing NSL complex binds to many but not all promoters of active genes and potentially contributes to their proper gene expression. It is currently unknown what determines whether an active gene is bound or not. Here, we provide evidence that the NSL complex primarily targets active promoters of most housekeeping genes. There, it co-localizes with the chromatin remodeler NURF and the histone methyltransferase Trithorax. Moreover, despite binding to most housekeeping genes, the NSL complex regulates only a subset of them, which are depleted for certain insulator binding-proteins and enriched for the core promoter motif Ohler 5. We suggest that the combination of general chromatin factors and core promoter motifs is predictive for whether a housekeeping gene is transcriptionally regulated by the NSL complex.
Publication Title
The MOF-containing NSL complex associates globally with housekeeping genes, but activates only a defined subset.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 38 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Protein sets define disease states and predict in vivo effects of drug treatment.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples