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GSE26869
Homo sapiens
22 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
Analysis of the transcriptome of mononuclear side population (SP) and main population (MP) cells of human fetal skeletal muscle from 12 human subjects of gestational age 14-18 weeks.
Publication Title
Regulation of myogenic progenitor proliferation in human fetal skeletal muscle by BMP4 and its antagonist Gremlin.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Functional analysis of ABCB5 in A375 and G3361 melanoma cells, by comparing stably-transfected controls to ABCB5-shRNA-targeted cells.
Publication Title
ABCB5 maintains melanoma-initiating cells through a proinflammatory cytokine signaling circuit.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Arabidopsis thaliana
- 4 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
The purpose of this experiment was to identify genes responding differently to a 24 h low red to far red ratio (R:FR) treatment in plants grown at 16 and 22 degrees
Publication Title
Light-quality regulation of freezing tolerance in Arabidopsis thaliana.
Sample Metadata Fields
Age
View Samples- Arabidopsis thaliana
- 4 Downloadable Samples
- Affymetrix Arabidopsis Genome Array (ag)
Description
This experiment was a time course performed over 24 hours to look at the effects on gene expression of exposure to low red:far-red ratio light in Arabidopsis thaliana plants. In this way genes involved in the shade avoidance response might be identified. This experiment was designed for gene identification only and containes no replicates,genes identified were verified by quantitative PCR for publication.
Publication Title
Gating of the rapid shade-avoidance response by the circadian clock in plants.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Subject
View Samples- Homo sapiens
- 10 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Melanoma growth is driven by malignant melanoma initiating cells (MMIC) identified by expression of the ATP-binding cassette (ABC) member, ABCB5. ABCB5+ melanoma subpopulations have been shown to overexpress the vasculogenic differentiation markers CD144 (VE-cadherin) and TIE-1 and are associated with CD31-negative vasculogenic mimicry (VM), an established biomarker associated with increased patient mortality. Here we identify a critical role for VEGFR-1 signaling in ABCB5+ MMIC-dependent VM and tumor growth. Global gene expression analyses, validated by mRNA and protein determinations, revealed preferential expression of VEGFR-1 on ABCB5+ tumor cells purified from clinical melanomas and established melanoma lines. In vitro, VEGF induced in a VEGFR-1-dependent manner expression of CD144 in ABCB5+ subpopulations that constitutively expressed VEGFR-1, but not in ABCB5- bulk populations that were predominantly VEGFR-1-negative. In vivo, melanomaspecific shRNA-mediated knockdown of VEGFR-1 blocked the development of ABCB5+ VM morphology and inhibited ABCB5+ VM-associated production of the secreted melanoma mitogen, laminin. Moreover, melanoma-specific VEGFR-1 knockdown markedly inhibited tumor growth (by >90%). Our results demonstrate that VEGFR-1 function in MMIC regulates VM and associated laminin production, and show that this function represents one mechanism through which MMIC promote tumor growth.
Publication Title
VEGFR-1 expressed by malignant melanoma-initiating cells is required for tumor growth.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 96 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
CD20 is a clinically validated target for Non-Hodgkins lymphomas and autoimmune diseases. Interactions of CD20 with the B cell receptor (BCR) and components of the BCR signaling cascade have been reported. In this study we show that antibodies against CD20 or activation of the BCR by specific antibodies induce very similar expression patterns of up- or down-regulated genes in NHL cell lines indicating that CD20 may play a role in BCR signaling and vice versa.
Publication Title
Antibodies against CD20 or B-cell receptor induce similar transcription patterns in human lymphoma cell lines.
Sample Metadata Fields
Cell line, Treatment
View Samples- Pseudomonas aeruginosa
- 10 Downloadable Samples
- Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Contribution of stress responses to antibiotic tolerance in Pseudomonas aeruginosa biofilms.
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 identified miR-95 in a screen for miRNAs which functionally affect
Publication Title
A non-conserved miRNA regulates lysosomal function and impacts on a human lysosomal storage disorder.
Sample Metadata Fields
Cell line
View Samples- Pseudomonas aeruginosa
- 6 Downloadable Samples
- Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
Microarray analysis was used to identify changes in the level of transcription of genes in P. aeruginosa drip flow biofilms in response to ciprofloxacin and tobramycin exposure. This data was evaluated and used to select strains that carry transposon mutations in genes that might play a role in antibiotic tolerance of biofilms. The strains were evaluated for defects in biofilm tolerance.
Publication Title
Contribution of stress responses to antibiotic tolerance in Pseudomonas aeruginosa biofilms.
Sample Metadata Fields
No sample metadata fields
View Samples- Pseudomonas aeruginosa
- 4 Downloadable Samples
- Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
Transcriptome analysis was applied to characterize the physiological activities of Psuedomonas aeruginosa cells grown for three days in drip flow biofilm reactors when compared to the activities of P. aeruginosa grown planktonically to exponential phase in the same media. Here, rather than examining the effect of an individual gene on biofilm antibiotic tolerance, we used a transcriptomics approach to identify regulons and groups of related genes that are induced during biofilm growth of Pseudomonas aeruginosa. We then tested for statistically significant overlap between the biofilm-induced genes and independently compiled gene lists corresponding to stress responses and other putative antibiotic protective mechanisms. This data was evaluated and used to select strains that carry transposon mutations in genes that might play a role in antibiotic tolerance of biofilms. The strains were evaluated for defects in biofilm tolerance.
Publication Title
Contribution of stress responses to antibiotic tolerance in Pseudomonas aeruginosa biofilms.
Sample Metadata Fields
No sample metadata fields
View Samples