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GSE22148
Homo sapiens
143 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Induced sputum is used to sample inflammatory cells, predominantly neutrophils and macrophages, from the airways of COPD patients. Our aim was to identify candidate genes associated with the degree of airflow obstruction and the extent of emphysema by expression profiling, and then to confirm these findings for selected candidates using specific PCR and protein analysis.
Publication Title
Induced sputum genes associated with spirometric and radiological disease severity in COPD ex-smokers.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 15 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Candidate DNA methylation drivers of acquired cisplatin resistance in ovarian cancer identified by methylome and expression profiling.
Sample Metadata Fields
Disease, Cell line
View Samples- Homo sapiens
- 15 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Multiple DNA methylation changes have been associated with the acquisition of drug resistance; however it remains uncertain how many of these changes may represent critical DNA methylation drivers of chemoresistance. Using gene expression profiling method on HGU133plus2 array, we identified a total of 1370 genes showing significant gene expression changes with 687 genes going up and 683 genes going down in the resistant (cp70) versus sensitive cell lines (A2780) by Rank Product (FDR<5%). Combining expression profiling with methylation profiling data we found out of 245 hypermethylated and down-regulated genes in the resistant cell line, 41 genes were up-regulated following Decitabine treatment alone, 45 genes up-regulated following combined treatment of Decitabine and PXD101, and only 10 genes up-regulated following PXD101 treatment alone. Altogether we found a small set of genes as being potential key drivers of chemoresistance and should be further evaluated as predictive biomarkers, both to existing chemotherapies, but also to epigenetic therapies used to modulate drug resistance.
Publication Title
Candidate DNA methylation drivers of acquired cisplatin resistance in ovarian cancer identified by methylome and expression profiling.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
A cross-platform genome-wide comparison of the relationship of promoter DNA methylation to gene expression.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 8 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Transcriptional profiling of IAS subjects
Publication Title
A cross-platform genome-wide comparison of the relationship of promoter DNA methylation to gene expression.
Sample Metadata Fields
Specimen part, Subject
View Samples- Rattus norvegicus
- 418 Downloadable Samples
- Affymetrix Rat Expression 230A Array (rae230a)
Description
The carcinogenic potential of chemicals is currently evaluated with rodent life-time bioassays, which are time consuming, and expensive with respect to cost, number of animals and amount of compound required. Since the results of these 2-year bioassays are not known until quite late during development of new chemical entities, and since the short-term test battery to test for genotoxicity, a characteristic of genotoxic carcinogens, is hampered by low specificity, the identification of early biomarkers for carcinogenicity would be a big step forward. Using gene expression profiles from the livers of rats treated up to 14 days with genotoxic and non-genotoxic carcinogens we previously identified characteristic gene expression profiles for these two groups of carcinogens. We have now added expression profiles from further hepatocarcinogens and from non-carcinogens the latter serving as control profiles. We used these profiles to extract biomarkers discriminating genotoxic from non-genotoxic carcinogens and to calculate classifiers based on the support vector machine (SVM) algorithm. These classifiers then predicted a set of independent validation compound profiles with up to 88% accuracy, depending on the marker gene set. We would like to present this study as proof of the concept that a classification of carcinogens based on short-term studies may be feasible.
Publication Title
Cross-platform toxicogenomics for the prediction of non-genotoxic hepatocarcinogenesis in rat.
Sample Metadata Fields
Specimen part
View Samples- Rattus norvegicus
- 63 Downloadable Samples
- Affymetrix Rat Expression 230A Array (rae230a)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Cross-platform toxicogenomics for the prediction of non-genotoxic hepatocarcinogenesis in rat.
Sample Metadata Fields
Sex, Specimen part
View Samples- Rattus norvegicus
- 63 Downloadable Samples
- Affymetrix Rat Expression 230A Array (rae230a)
Description
In this study we performed microarray-based molecular profiling of liver samples from Wistar rats exposed to genotoxic carcinogens (GC), nongenotoxic carcinogens (NGC) or non-hepatocarcinogens (NC) for up to 14 days. In contrast to previous toxicogenomics studies aimed at the inference of molecular signatures for assessing the potential and mode of compound carcinogenicity, we considered multi-level omics data. Besides evaluating the predictive power of signatures observed on individual biological levels, such as mRNA, miRNA and protein expression, we also introduced novel feature representations which capture putative molecular interactions or pathway alterations by integrating expression profiles across platforms interrogating different biological levels.
Publication Title
Cross-platform toxicogenomics for the prediction of non-genotoxic hepatocarcinogenesis in rat.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
HIV‐exposed seronegative commercial sex workers show a quiescent phenotype in the CD4+ T cell compartment and reduced expression of HIV‐dependent host factors.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Understanding why some indidivual resist HIV-1 infection despite continued exposure is an important goal for vaccine development.
Publication Title
HIV‐exposed seronegative commercial sex workers show a quiescent phenotype in the CD4+ T cell compartment and reduced expression of HIV‐dependent host factors.
Sample Metadata Fields
No sample metadata fields
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