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GSE6613
Homo sapiens
105 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
Parkinsons disease (PD) progresses relentlessly and affects five million people worldwide. Laboratory tests for PD are critically needed for developing treatments designed to slow or prevent progression of the disease. We performed a transcriptome-wide scan in 105 individuals to interrogate the molecular processes perturbed in cellular blood of patients with early-stage PD. The molecular marker here identified is strongly associated with risk of PD in 66 samples of the training set (third tertile cross-validated odds ratio of 5.7 {P for trend 0.005}). It is further validated in 39 independent test samples (third tertile odds ratio of 5.1 {P for trend 0.04}). The genes differentially expressed in patients with PD, or Alzheimers or progressive supranuclear palsy offer unique insights into disease-linked processes detectable in peripheral blood. Combining gene expression scans in blood and linked clinical data will facilitate the rapid characterization of candidate biomarkers as demonstrated here with respect to PD.
Publication Title
Molecular markers of early Parkinson's disease based on gene expression in blood.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 84 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Evidence suggests that BRCA1 mutation associated tumors have increased sensitivity to DNA damaging agents like cisplatin. Sporadic triple negative breast cancers (TNBC) have many phenotypic similarities to BRCA1 tumors and may have a similar sensitivity to cisplatin. We tested the efficacy of cisplatin monotherapy in 28 TNBC patients in a single arm neoadjuvant trial with outcome measured by pathologic treatment response quantified using the Miller-Payne scale.
Publication Title
Efficacy of neoadjuvant Cisplatin in triple-negative breast cancer.
Sample Metadata Fields
Age, Disease stage
View Samples- Pseudomonas aeruginosa
- 78 Downloadable Samples
- Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
CF patients suffer from chronic and recurrent respiratory tract infections which eventually lead to lung failure followed by death. Pseudomonas aeruginosa is one of the major pathogens for CF patients and is the principal cause of mortality and morbidity in CF patients.
Publication Title
Bacterial adaptation during chronic infection revealed by independent component analysis of transcriptomic data.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 37 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
In this study we applied genomic profiling to evaluate the transcriptomic differences between murine models ot atopic dermatitis.
Publication Title
Major differences between human atopic dermatitis and murine models, as determined by using global transcriptomic profiling.
Sample Metadata Fields
Sex, Specimen part, Treatment
View Samples- Schizosaccharomyces pombe
- 31 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Eukaryotic cells are constantly challenged by the presence of reactive oxygen species, which play an important role in aging and human disease progression. In particular, acute oxidative stress can lead to extensive damage to cellular DNA, proteins, and lipids and can trigger a response that remodels the transcriptional and translational state of the cell. Although a number of previous studies have profiled the relative changes in mRNA and protein and more studies revealing the dynamics of transcription and translation in response to stress are starting to emerge, a quantitative view of this response has been lacking. Here, we have applied quantitative methods to characterize the time dynamics of mRNA and protein levels in the oxidative stress response of the fission yeast Schizosaccharomyces pombe, which has allowed us to perform dynamic modeling of responsive genes in units of copies per cell. Analysis of the resulting time dynamics provided a new genome-wide view of the scale, timing and rates of transcription and translation in the transient response. The majority of dynamic genes were observed to be responsive in their mRNA or protein levels alone implying extensive translational regulation. Nevertheless, modeling of genes with responsive mRNA and protein levels showed that protein levels could, in a majority of these cases, be accurately predicted with constant translation and decay rates while a minority benefited from explicit translation delay parameters. A number of independent features, e.g. measures of codon bias, ribosome occupancy, etc., were found to be less correlated to maximally perturbed protein levels than steady-state levels. Codon bias measures were more correlated than mRNA levels to quantitative protein levels at both perturbed and un-perturbed states. Measures of translation activity, on the other hand, were only significantly correlated at steady state.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 24 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
The conserved Snf1/AMPK (AMP-activated protein Kinase) family is one of the central components in nutrient sensing and regulation of carbon metabolism in eukaryotes. It is also involved in several other processes such as stress resistance, invasive growth and ageing. Snf1 kinase is composed of a catalytic -subunit Snf1, a regulatory -subunit Snf4 and one of three possible -subunits, Sip1, Sip2 or Gal83. We used a systematic approach to study the role of the three -subunits by analyzing all 7 possible combinations of -subunit deletions together with the reference strain.
Publication Title
The beta-subunits of the Snf1 kinase in Saccharomyces cerevisiae, Gal83 and Sip2, but not Sip1, are redundant in glucose derepression and regulation of sterol biosynthesis.
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 24 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Snf1 and TORC1 are two global regulators that sense the nutrient availability and regulate the cell growth in yeast Saccharomyces cerevisiae. Here we undertook a systems biology approach to study the effect of deletion of these genes and investigate the interaction between Snf1 and TORC1 in regulation of gene expression and cell metabolism.
Publication Title
Mapping the interaction of Snf1 with TORC1 in Saccharomyces cerevisiae.
Sample Metadata Fields
No sample metadata fields
View Samples- Arabidopsis thaliana
- 24 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Gene Expression profiling of the Arabidopsis thaliana MAP Kinase Kinases 1 (mkk1), MAP Kinase Kinases 2 (mkk2) knockout mutants and the double mutant mkk1/mkk2 before and 24 hours after treatment with the salicylic acid analog BTH, was measured by hybridisation to an Affymetrix ATH1 GeneChip.
Publication Title
Arabidopsis mitogen-activated protein kinase kinases MKK1 and MKK2 have overlapping functions in defense signaling mediated by MEKK1, MPK4, and MKS1.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Gene expression data from 21 triple negative breast cancer samples treated with cisplatin & bevacizumab in the neoadjuvant setting as part of a clinical trial.
Publication Title
Overexpression of BLM promotes DNA damage and increased sensitivity to platinum salts in triple-negative breast and serous ovarian cancers.
Sample Metadata Fields
Specimen part
View Samples- Escherichia coli
- 11 Downloadable Samples
- Affymetrix E. coli Genome 2.0 Array (ecoli2)
Description
Biocides are chemical compounds widely used in hospital settings for a variety of purposes, but mainly for disinfection. The chemical properties of a biocide, as well as the biocide concentration, influence which cellular targets are affected. Exposure of bacteria to residual concentrations of biocides could lead to development of increased resistance towards the biocide in use, as well as cross-resistance towards other antimicrobials, including antibiotics. The aim of this study was to examine whether biocides could induce any potentially relevant genes that could affect pathogen's drug resistance or fitness.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
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