This SuperSeries is composed of the SubSeries listed below.
BAD phosphorylation determines ovarian cancer chemosensitivity and patient survival.
Disease stage, Cell line
View SamplesWe treated 8 human ovarian cancer cell lines with cisplatin in treatment/recovery cycles to induce in-vitro resistance to the drug. Microarrays measured gene expression at baseline and after each dose schedule (after recovery).
BAD phosphorylation determines ovarian cancer chemosensitivity and patient survival.
Cell line
View SamplesBackground. Genome-wide expression changes are associated with development of chemoresistance in patients with ovarian cancer (OVCA); the BCL2 antagonist of cell death (BAD) apoptosis pathway may play a role in clinical outcome.
BAD phosphorylation determines ovarian cancer chemosensitivity and patient survival.
Disease stage
View SamplesTranscriptome profiling of de novo-derived ccRCC cell cultures and their matching parental tumours. VHL-mutant and VHL wild-type cultures were established by isolating CA9+ and CA9- cells from tumor samples using FACS. Overall design: RNASeq expression profiling of 18 renal cell carcinoma samples, including 6 patient tumours, 6 VHL mutant and 6 VHL WT derivative cell cultures
Efficient generation of patient-matched malignant and normal primary cell cultures from clear cell renal cell carcinoma patients: clinically relevant models for research and personalized medicine.
No sample metadata fields
View SamplesTo understand the developing striatum, key genes during development were identified using microarray analsyis tha could be considered as marker of medium spiny neurons. The ages studied is at peak striatal neurogenesis.
FoxP1 marks medium spiny neurons from precursors to maturity and is required for their differentiation.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
TTCA: an R package for the identification of differentially expressed genes in time course microarray data.
Cell line, Treatment
View SamplesThe analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for the detection of significant expression dynamics often fail when the expression dynamics show a large heterogeneity, and often cannot cope with irregular and sparse measurements.
TTCA: an R package for the identification of differentially expressed genes in time course microarray data.
Cell line, Treatment
View SamplesThe analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for the detection of significant expression dynamics often fail when the expression dynamics show a large heterogeneity, and often cannot cope with irregular and sparse measurements.
TTCA: an R package for the identification of differentially expressed genes in time course microarray data.
Cell line, Treatment
View SamplesIn recent years, several approaches have been taken in the peptide-based immunotherapy of metastatic renal cell carcinoma (RCC), although little is known about HLA presentation on metastases compared to primary tumor and normal tissue of RCC. In this study we compared primary tumor, normal tissue and metastases with the aim of identifying similarities and differences between these tissues. We performed this comparison for two RCC patients on the level of the HLA ligandome using mass spectrometry and for three patients on the level of the transcriptome using oligonucleotide microarrays. The quantitative results show that primary tumor is more similar to metastasis than to normal tissue, both on the level of HLA ligand presentation and mRNA. We were able to characterize a total of 142 peptides in the qualitative analysis of HLA-presented peptides. Six of them were significantly overpresented on metastasis, among them a peptide derived from CD151; fourteen were overpresented on both primary tumor and metastasis compared to normal tissue, among them an HLA ligand derived from tumor protein p53. Thus, we could demonstrate that peptide-based immunotherapy might affect tumor as well as metastasis of RCC, but not healthy kidney tissue. Furthermore we were able to identify several peptides derived from tumor-associated antigens that are suitable for vaccination of metastatic RCC.
HLA ligand profiles of primary renal cell carcinoma maintained in metastases.
Sex
View SamplesThe recruitment of mesenchymal stem cells in order to reconstruct damaged cartilage of osteoarthritis joints is a challenging tissue engineering task. Vision towards this goal is blurred by a lack of knowledge about the underlying differences between chondrocytes and MSC during the chondrogenic cultivation process. The aim of this study was to shed light on the differences between chondrocytes and MSC occurring during chondral differentiation through tissue engineering.
Expression pattern differences between osteoarthritic chondrocytes and mesenchymal stem cells during chondrogenic differentiation.
Specimen part
View Samples