Filters
Technology
Platform
GSE66521
Saccharomyces cerevisiae
16 Downloadable Samples
Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Natural grape-juice fermentations involve the sequential development of different yeast species which strongly influence the chemical and sensorial traits of the final product. In the present study,we aimed to examine the transcriptomic response of Saccharomyces cerevisiae to the presence of Hanseniaspora guilliermondii wine fermentation.
Publication Title
Genomic expression program of Saccharomyces cerevisiae along a mixed-culture wine fermentation with Hanseniaspora guilliermondii.
Sample Metadata Fields
Treatment, Time
View Samples- Caenorhabditis elegans
- 14 Downloadable Samples
Illumina HiSeq 2000
Description
Stressors may have negative or positive effects in dependence of the dose (hormesis). We studied this phenomenon in Caenorhabditis elegans by applying weak or severe abiotic (cadmium, CdCl2) and/or biotic stress (different bacterial diets) during cultivation/breeding of the worms, and determining developmental speed or survival rates and performing transcriptome profiling and RT-qPCR analyses to explore the genetic basis of the detected phenotypic differences. This study showed that a bacterial diet resulting in higher levels of energy resources in the worms (E. coli OP50 feeding) or weak abiotic and biotic stress especially promote the resistance against severe abiotic or biotic stress and the age-specific survival rate of WT. Overall design: Five experimental conditions; mostly three replicates per experimental condition; four contrasts between test and control conditions functionally analyzed.
Publication Title
Bacterial diet and weak cadmium stress affect the survivability of <i>Caenorhabditis elegans</i> and its resistance to severe stress.
Sample Metadata Fields
Cell line, Treatment, Subject
View Samples- Homo sapiens
- 11 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Objective: Resident macrophages play an important role in atheromatous plaque rupture. The macrophage gene expression signature associated with plaque rupture is incompletely defined due to the complex cellular heterogeneity in the plaque. We aimed to characterise differential gene expression in resident plaque macrophages from ruptured and stable human atheromatous lesions. A cell-specific approach has the potential to address the question of gene expression differences between particular cell types in stable and unstable plaques with greater precision than approaches based on the study of whole plaques. Using laser micro-dissection, we isolated total RNA from macrophage-rich regions of stable and ruptured human atheromatous plaques derived from carotid endarterectomy samples which were comprehensively characterized using clinical, radiological and histological criteria, and carried out genome-wide gene expression profiling using microarrays.
Publication Title
Increased expression of fatty acid binding protein 4 and leptin in resident macrophages characterises atherosclerotic plaque rupture.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Saccharomyces cerevisiae
- 48 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
The genome-wide early temporal response of Saccharomyces cerevisiae to oxidative stress induced by cumene hydroperoxide.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Genome U95 Version 2 Array (hgu95av2)
Description
HeLa cells were treated with siRNA directed against Luciferase or RENT1 in duplicate (as described in Mendell et al., Science, 2002; PubMed ID:12228722). Transcripts that are differentially expressed between the two experimental conditions are putatively regulated by RENT1.
Publication Title
Nonsense surveillance regulates expression of diverse classes of mammalian transcripts and mutes genomic noise.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Kruppel-like transcription factor 5 (Klf5) is expressed during late embryogenesis in the forming murine bladder urothelium. Targeted disruption of the Klf5flox alleles by the ShhGfpCre transgene resulted in failure of the bladder urothelium to mature accompanied by hydronephrosis, hydroureter, and vesicoureteric reflux in all E18.5 fetuses. The bladder urothelium did not stratify nor did it express terminal differentiation markers characteristic of basal, intermediate, and umbrella cells including keratins 20, 14, and 5, and uroplakins. At E18.5, an ectopic alpha smooth muscle actin positive layer of cells was identified subjacent to the undifferentiated Klf5-deficient urothelium. The effects of Klf5 deficiency were unique to the urothelium since maturation of the epithelium comprising the bladder neck and urethra were unaffected by the lack of KLF5. mRNA microarray analysis of whole E14.5 control and Klf5 deficient bladders identified Ppar-gamma and Grhl3 as putative downstream intermediary transcription factors that regulate urothelial maturation. Transient transfection assays demonstrated that KLF5 regulated expression of the mGrhl3 promoter. These observations show that alterations in maturation of the bladder urothelium alone are sufficient to induce bladder dysfunction leading to prenatal hydronephrosis.
Publication Title
Kruppel-like factor 5 is required for formation and differentiation of the bladder urothelium.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 46 Downloadable Samples
- Illumina HiSeq 2000
Description
Hundreds of immune cell types work in coordination to maintain tissue homeostasis. Upon infection, dramatic changes occur with the localization, migration and proliferation of the immune cells to first alert the body of the danger, confine it to limit spreading, and finally extinguish the threat and bring the tissue back to homeostasis. Since current technologies can follow the dynamics of only a limited number of cell types, we have yet to grasp the full complexity of global in vivo cell dynamics in normal developmental processes and disease. Here we devise a computational method, digital cell quantification (DCQ), which combines genomewide gene expression data with an immune cell compendium to infer in vivo dynamical changes in the quantities of 213 immune cell subpopulations. DCQ was applied to study global immune cell dynamics in mice lungs at ten time points during a 7-day time course of flu infection. We find dramatic changes in quantities of 70 immune cell types, including various innate, adaptive and progenitor immune cells. We focus on the previously unreported dynamics of four immune dendritic cell subtypes, and suggest a specific role for CD103+CD11b- cDCs in early stages of disease and CD8+ pDC in late stages of flu infection. Overall design: To study pathogenesis of Influenza infection, C57BL/6 mice (5 weeks) were infected intranasally with 4x103 PFU of influenza PR8 virus. We measured using RNA-Seq global gene expression in lung tissue at ten time points during a 7-day time course of infection, two infected individuals in each time point and four un-infected individuals as control. The lung organ was removed and transferred immediately into RNA Latter solution (Invitrogen).
Publication Title
Digital cell quantification identifies global immune cell dynamics during influenza infection.
Sample Metadata Fields
Age, Specimen part, Cell line, Subject, Time
View Samples- Mus musculus
- 28 Downloadable Samples
- Illumina HiSeq 2000
Description
Hundreds of immune cell types work in coordination to maintain tissue homeostasis. Upon infection, dramatic changes occur with the localization, migration and proliferation of the immune cells to first alert the body of the danger, confine it to limit spreading, and finally extinguish the threat and bring the tissue back to homeostasis. Since current technologies can follow the dynamics of only a limited number of cell types, we have yet to grasp the full complexity of global in vivo cell dynamics in normal developmental processes and disease. Here we devise a computational method, digital cell quantification (DCQ), which combines genomewide gene expression data with an immune cell compendium to infer in vivo dynamical changes in the quantities of 213 immune cell subpopulations. DCQ was applied to study global immune cell dynamics in mice lungs at ten time points during a 7-day time course of flu infection. We find dramatic changes in quantities of 70 immune cell types, including various innate, adaptive and progenitor immune cells. We focus on the previously unreported dynamics of four immune dendritic cell subtypes, and suggest a specific role for CD103+CD11b- cDCs in early stages of disease and CD8+ pDC in late stages of flu infection. Overall design: To better understand the physiological role of these differential dynamic changes in the DCs, we measured the genome-wide RNA expression of all four DC subpopulations from lung of influenza infected mice at four time points following infections (two mice per time-point). For sorting dendritic cells from lungs, the lungs from infected and control uninfected C57BL/6J mice were immersed in cold PBS, cut into small pieces in 5 ml DMEM media containing 10% Bovine Fetal Serum, the cell suspensions were grinded using 1ml syringe cup on a 70 µm cell strainers (BD Falcon). The cells were washed with ice cold PBS. Remaining red blood cells were lysed using ammonium chloride solution (Sigma). Cells were harvested, immersed 1ml FACS buffer [PBS+2% FBS, 1mM EDTA], Fc receptors were blocked with anti-mouse CD16/CD32, washed with FACS buffer and divided into two tubes for sorting cDC and pDC cells.
Publication Title
Digital cell quantification identifies global immune cell dynamics during influenza infection.
Sample Metadata Fields
Age, Specimen part, Cell line, Subject, Time
View Samples- Homo sapiens
- 29 Downloadable Samples
- Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)
Description
Human T-cell development is less well studied than its murine counterpart due to the lack of genetic tools and the difficulty of obtaining cells and tissues. However, recent technological advances allow identification of the transcriptional landscape of differentiating human thymocytes. Here we report the gene expression profiles of 11 immature, consecutive T-cell developmental stages. The changes in gene expression of cultured stem cells on OP9-DL1 match those of ex vivo isolated human thymocytes. These analyses led us to define evolutionary conserved gene signatures that represent pre- and post- T-cell commitment stages. We found that loss of CD44 marks T-cell commitment in early CD7+CD5+CD45dim cells, before the acquisition of CD1a surface expression. The CD44-CD1a- post-committed thymocytes have initiated in frame TCR rearrangements and have completely lost the capacity to develop into myeloid, B- and NK-cells, unlike uncommitted CD44+CD1a- thymocytes. Therefore, loss of CD44 represents a previously unrecognized stage that defines the earliest committed T-cell population in the human thymus.
Publication Title
Loss of CD44<sup>dim</sup> Expression from Early Progenitor Cells Marks T-Cell Lineage Commitment in the Human Thymus.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 22 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Estrogen plays an important role in the regulation of vascular tone and in the pathophysiology of cardiovascular disease. Physiological effects of estrogen are mediated through estrogen receptors alpha (ERalpha) and beta (ERbeta), which are both expressed in vascular smooth muscle and endothelial cells. However, the molecular pathways mediating estrogen effects in blood vessels are not well defined. We have performed gene expression profiling in the mouse aorta to identify comprehensive gene sets the expression of which is regulated by long-term (1 wk) estrogen treatment. The ER subtype dependence of the alterations in gene expression was characterized by parallel gene expression profiling experiments in ERalpha-deficient [ERalpha knockout (ERalphaKO)] and ERbeta-deficient (ERbetaKO) mice.
Publication Title
Estrogen receptors alpha and beta mediate distinct pathways of vascular gene expression, including genes involved in mitochondrial electron transport and generation of reactive oxygen species.
Sample Metadata Fields
No sample metadata fields
View Samples