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GSE11943
Homo sapiens
8 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
Among the dendritic cell (DC) subsets, plasmacytoid DCs are thought to be important in both generating antiviral and antitumor responses. These cells may be useful in developing dendritic cell-based tumor vaccines, however, the rarity of these cells in the peripheral blood have hampered attempts to understand their biology. To provide better insight into the biology of plasmacytoid DCs, we isolated these cells from the peripheral blood of healthy donors in order to further characterize their gene expression. Using gene array technology we compared the genetic profiles of these cells to those of CD14+ monocytes isolated from the same donors and found several immune related genes upregulated in this cell population. Understanding the genetic profiles of this dendritic cell subtype as well as others such as the BDCA-1 expressing myeloid DCs may enable us to manipulate these cells ex-vivo to generate enhanced DC-based tumor vaccines inducing more robust antitumor responses.
Publication Title
Genetic profiles of plasmacytoid (BDCA-4 expressing) DC subtypes-clues to DC subtype function in vivo.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 15 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
The aim of our study was to investigate the functions of Grhl transcription factor in the kidney.
Publication Title
Consequences of the loss of the Grainyhead-like 1 gene for renal gene expression, regulation of blood pressure and heart rate in a mouse model.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 46 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Identification of tumor suppressors and oncogenes from genomic and epigenetic features in ovarian cancer.
Sample Metadata Fields
Sex, Disease, Disease stage, Treatment
View Samples- Homo sapiens
- 46 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
The identification of genetic and epigenetic alterations from primary tumor cells has become a common method to identify genes critical to the development and progression of cancer. We provide a bioinformatic analysis of copy number variation and DNA methylation covering the genetic landscape of ovarian cancer tumor cells. We individually examined the copy number variation and DNA methylation for 44 primary ovarian cancer samples and 7 ovarian normal samples using our MOMA-ROMA technology and Affymetrix expression data as well as 379 tumor samples analyzed by The Cancer Genome Atlas. We have identified 346 genes with significant deletions or amplifications among the tumor samples. Utilizing associated gene expression data we predict 156 genes with significantly altered copy number and correlated changes in expression. We identify changes in DNA methylation and expression for all amplified and deleted genes. We predicted 615 potential oncogenes and tumor suppressors candidates by integrating these multiple genomic and epigenetic data types.
Publication Title
Identification of tumor suppressors and oncogenes from genomic and epigenetic features in ovarian cancer.
Sample Metadata Fields
Sex, Disease, Disease stage
View Samples- Homo sapiens
- 96 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Combined inhibition of receptor tyrosine and p21-activated kinases as a therapeutic strategy in childhood ALL.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Time
View Samples- Homo sapiens
- 75 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The purpose of this study was the principal investigation and frequency of RTK expression in primary T-ALLs. Primary initial T-ALLs were assessed regarding their transcriptome-wide expression profiles and screend for prominent RTK expression.
Publication Title
Combined inhibition of receptor tyrosine and p21-activated kinases as a therapeutic strategy in childhood ALL.
Sample Metadata Fields
Disease, Disease stage
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Deregulated RTK activity has been implicated as a causal leukemogenic factor in the context of molecular aberrations that perturb differentiation in the hematopoietic lineage such as in childhood ALL. A deeper understanding of RTK signaling processes on a system-wide scale will be key in defining critical components of signaling networks. To link RTK activity with in vivo output in primary ALL we took a functional approach, which combined SH2 domain binding, mass spectrometry, and transcriptome analyses. Structure and composition of evolving networks were highly diverse with few generic features determined by receptor and cell type. A combinatorial assembly of varying context-dependent and few generic signaling components at multiple levels likely generates output specificity. PAK2 was identified as a phosphoregulated FLT3 target, whose allosteric inhibition resulted in apoptosis of ALL cells. Our studies provide evidence that a functional approach to leukemia signaling may yield valuable information for a network-directed intervention.
Publication Title
Combined inhibition of receptor tyrosine and p21-activated kinases as a therapeutic strategy in childhood ALL.
Sample Metadata Fields
Specimen part, Time
View Samples- Mus musculus
- 449 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Rat Expression 230A Array (rae230a)
Description
Assessing the carcinogenic potential of drug candidates is a costly procedure which requires the life-long treatment of rodents at different dose levels. A promising approach, which may to a certain degree reduce the need for animal studies in the future is toxicogenomics. The idea is to employ microarray platforms for the genome-wide expression profiling of compounds, which may facilitate the discovery of biomarker genes and provide insights in molecular mechanisms.
Publication Title
A toxicogenomic approach for the prediction of murine hepatocarcinogenesis using ensemble feature selection.
Sample Metadata Fields
Sex, Specimen part, Treatment, Time
View Samples- Homo sapiens
- 50 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Statins are widely used cholesterol-lowering drugs that inhibit HMG-CoA reductase, a key enzyme in cholesterol synthesis. In some cases, however, these drugs may cause a number of toxic side effects in hepatocytes and skeletal muscle tissue. Currently, the specific molecular mechanisms that cause these adverse effects are not sufficiently understood. In this work, genome-wide RNA expression changes in primary human hepatocytes of six individuals were measured at five time points upon atorvastatin treatment. A novel systems-level analysis workflow was applied to reconstruct regulatory mechanisms based on these drug-response data and available knowledge about transcription factor binding specificities, protein-protein interactions and protein-drug interactions. Several previously unknown transcription factors, regulatory cofactors and signaling molecules were found to be involved in atorvastatin-responsive gene expression. Some novel relationships, e.g., the regulatory influence of nuclear receptor NR2C2 on CYP3A4, were successfully validated in wet-lab experiments.
Publication Title
Inferring statin-induced gene regulatory relationships in primary human hepatocytes.
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Mus musculus
- 16 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Ha-ras and β-catenin oncoproteins orchestrate metabolic programs in mouse liver tumors.
Sample Metadata Fields
Sex, Specimen part
View Samples