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GSE26169
Saccharomyces cerevisiae
210 Downloadable Samples
Affymetrix Yeast Genome S98 Array (ygs98)
Description
Oxidative stress is a harmful condition in a cell, tissue, or organ, caused by an imbalnace between reactive oxygen species and other oxidants and the capacity of antioxidant defense systems to remove them. The budding yeast S. cerevisiae has been the major eukaryotic model for studies of response to oxidative stress.
Publication Title
No associated publication
Sample Metadata Fields
Time
View Samples- Homo sapiens
- 60 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The response to growth hormone in humans is dependent on phenotypic, genetic and environmental factors. The present study in children with growth hormone deficiency (GHD) collected worldwide characterised gene-environment interactions on growth response to recombinant human growth hormone (r-hGH). Growth responses in children are linked to latitude, and we found that a correlation of latitude, summer daylight exposure (SDE) was a key environmental factor related to growth response to r-hGH. In turn growth response was determined by an interaction between both SDE and genes known to affect growth response to r-hGH. In addition analysis of associated networks of gene expression implicated a role for circadian clock pathways and specifically the developmental transcription factor NANOG. This work provides the first observation of gene-environment interactions in children treated with r-hGH.
Publication Title
Effect of summer daylight exposure and genetic background on growth in growth hormone-deficient children.
Sample Metadata Fields
Sex, Age
View Samples- Arabidopsis thaliana
- 21 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
A comparison of microarray and MPSS technologies can help to establish the metrics for data comparisons across these technology platforms and determine some of the factors affecting the measurement of mRNA abundances using different platforms. Here, different Treatments/Conditions based on different Arabidopsis tissues were used for three different platforms include MPSS, Affymetrix and Agilent.
Publication Title
A comparison of microarray and MPSS technology platforms for expression analysis of Arabidopsis.
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 23 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Gene expression changes due to genome region inversions was studied. Four strains of Saccharomyces cerevisiae strains with inversions engineered between TY1 elements were compared to matching controls.
Publication Title
No associated publication
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 19 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Erg and AP-1 as determinants of glucocorticoid response in acute lymphoblastic leukemia.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Cell line, Treatment, Subject, Time
View Samples- Pseudomonas aeruginosa
- 20 Downloadable Samples
- Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
Gene expression in response to changes in sulfur supply was studied in P. aeruginosa E601, a cystic fibrosis isolate that displays mucin sulfatase activity, and in P. aeruginosa PAO1. A large family of genes was found to be upregulated by sulfate limitation in both isolates, encoding sulfatases and sulfonatases, transport systems, oxidative stress proteins, and a sulfate-regulated TonB/ExbBD complex. These genes were localized in five distinct islands on the genome, and encoded proteins with a significantly reduced content of cysteine and methionine. Growth of P. aeruginosa E601 with mucin as sulfur source led to a sulfate starvation response, but also to induction of genes involved with type III secretion systems.
Publication Title
Transcriptomic analysis of the sulfate starvation response of Pseudomonas aeruginosa.
Sample Metadata Fields
No sample metadata fields
View Samples- Arabidopsis thaliana
- 15 Downloadable Samples
- Arabidopsis Gene 1.0 ST Array (aragene10st)
Description
The Arabidopsis hypocotyl is an excellent model for understanding radial growth in plants. Division of the cambial cells and their subsequent differentiation into xylem and phloem drives radial expansion of the hypocotyl. Following the transition to reproductive growth, a phase change occurs in the Arabidopsis hypocotyl. During this second phase, the relative rate of xylem production is dramatically increased compared to that of phloem and xylem fibres containing thick secondary cell walls also form, which results in the production of xylem tissue comparable to the wood of trees. Abscisic acid (ABA) is a phytohormone known to have a major role in various plant processes, including in the response to changes in environmental conditions and in the promotion of seed dormancy. Using two different genetic backgrounds and different environmental conditions, we identified a set of core of transcriptional changes associated with the switch to the second phase of growth in the hypocotyl. ABA signalling pathways were identified as being as significantly over-represented in this set of core genes. Reverse genetic analysis demonstrated that mutants defective in ABA-biosynthesis enzymes exhibited significantly delayed fibre production without affecting the xylem:phloem ratio. The altered morphology is also reflected at the transcript level, with a reduced expression of marker genes associated with fibre formation in aba1 mutants. The application of exogenous ABA to the mutant rescued the phenotype, restoring fibre differentiation to wild-type levels. Taken together the data reveals an essential role for ABA in the regulation of fibre formation.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part, Time
View Samples- Homo sapiens
- 12 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
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).
Publication Title
Erg and AP-1 as determinants of glucocorticoid response in acute lymphoblastic leukemia.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Treatment, Subject, Time
View Samples- Saccharomyces cerevisiae
- 12 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
This is a polysome/monosome profiling study on yeast undergoing glucose depletion. Polysomes and monosomes are extracted and the transcripts bound to each fraction are measured by microarray. The study reveals that glucose depletion inhibits translation initiation in a mechanism involving eIF4A loss and 48S pre-initiation complex accumulation, while the pentose phosphate pathway is co-ordinately up-regulated
Publication Title
No associated publication
Sample Metadata Fields
Compound
View Samples- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
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).
Publication Title
Erg and AP-1 as determinants of glucocorticoid response in acute lymphoblastic leukemia.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Time
View Samples