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GSE51305
Homo sapiens
60 Downloadable Samples
Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
High-grade gliomas are amongst the most deadly human tumors. Treatment results are overall disappointing. Nevertheless, in several trials around 20% of patients respond to therapy. Diagnostic strategies to identify those patients that will ultimately profit from a specific targeted therapy are urgently needed. Gene expression profiling of untreated tumors is a well established approach for identifying biomarkers or diagnostic signatures. However, reliable signatures predicting treatment response in gliomas do not exist. Here we suggest a novel strategy for developing diagnostic signatures. We postulate that predictive gene expression patterns emerge only after tumor cells have been treated with the agent in vitro. Moreover, we postulate that enriching specimens for tumor initiating cells sharpens predictive expression patterns. Here, we report on the prediction of treatment response of cancer cells in vitro. As a proof of principle we analyzed gene expression in 18 short-term serum-free cultures of high-grade gliomas enhanced for brain tumor initiating cells (BTIC) before and after in vitro treatment with the tyrosine kinase inhibitor Sunitinib. Profiles from treated but not from untreated glioma cells allowed to predict therapy-induced impairment of proliferation of glioma cells in vitro. Prediction can be achieved with as little as 6 genes allowing for a straightforward translation into the clinic once the predictive power of the signature is shown also in vivo. Our strategy of using expression profiles from in vitro treated BTIC-enriched cultures opens new ways for trial design for patients with malignant gliomas.
Publication Title
Response-predictive gene expression profiling of glioma progenitor cells in vitro.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 64 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Time of feeding and the intrinsic circadian clock drive rhythms in hepatic gene expression.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Temporally restricted feeding is known to impact the circadian clock. This dataset shows the effects of temporally restricted feeding on the hepatic transcriptome.
Publication Title
Time of feeding and the intrinsic circadian clock drive rhythms in hepatic gene expression.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Restricted feeding impacts the hepatic circadian clock of WT mice. Cry1, Cry2 double KO mice lack a circadian clock and are thus expected to show rhythmical gene expression in the liver. Imposing a temporally restricted feeding schedule on these mice shows how the hepatic circadian clock and rhythmic food intake regulate rhythmic transcription in parallel
Publication Title
Time of feeding and the intrinsic circadian clock drive rhythms in hepatic gene expression.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Temporally restricted feeding has a profound effect on the circadian clock. Fasting and feeding paradigms are known to influence hepatic transcription. This dataset shows the dynamic effects of refeeding mice after a 24hour fasting period.
Publication Title
Time of feeding and the intrinsic circadian clock drive rhythms in hepatic gene expression.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 48 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
High-temporal resolution profiling was performed on mouse liver to detect rhythmic transcripts
Publication Title
Harmonics of circadian gene transcription in mammals.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 47 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
High-temporal resolution profiling was performed on NIH3T3 fibroblasts to detect rhythmic transcripts
Publication Title
Harmonics of circadian gene transcription in mammals.
Sample Metadata Fields
No sample metadata fields
View Samples- Rattus norvegicus
- 12 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
Crosstalk between Aryl hydrocarbonreceptor (AHR) and Estrogen receptor (ER) is poorly understood, but seems to play a major role in female reproductive organs.
Publication Title
Cross-Talk in the Female Rat Mammary Gland: Influence of Aryl Hydrocarbon Receptor on Estrogen Receptor Signaling.
Sample Metadata Fields
Sex, Specimen part
View Samples- Rattus norvegicus
- 12 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
Examination of crosstalk between Aryl hydrocarbonreceptor (AHR) and Estrogen receptor (ER) in the rat uterus on the level of mRNA transcriptome
Publication Title
Effects of the aryl hydrocarbon receptor agonist 3-methylcholanthrene on the 17β-estradiol regulated mRNA transcriptome of the rat uterus.
Sample Metadata Fields
Sex, Specimen part, Treatment
View Samples- Mus musculus
- 293 Downloadable Samples
Illumina HiSeq 2500
Description
Hematopoietic stem cells (HSCs) balance self-renewal and differentiation to maintain homeostasis. With aging, the frequency of polar HSCs decreases. Cell polarity in HSCs is controlled by the activity of the small RhoGTPase Cdc42. Here we demonstrate, using a comprehensive set of paired daughter cell analyses that include single cell 3D-confocal imaging, single cell transplants, single cell RNA-seq as well as single cell ATAC-seq, that the outcome of HSC divisions is strongly linked to the polarity status before mitosis, which is in turn determined by the level of the activity Cdc42 in stem cells. Aged apolar HSCs undergo preferentially self-renewing symmetric divisions, resulting in daughter stem cells with reduced regenerative capacity and lymphoid potential, while young polar HSCs undergo preferentially asymmetric divisions. Mathematical modeling in combination with experimental data implies a mechanistic role of the asymmetric sorting of Cdc42 in determining the potential of daughter cells via epigenetic mechanisms. Therefore, molecules that control HSC polarity might serve as modulators of the mode of stem cell division regulating the potential of daughter cells. Overall design: Sorted single cells were cultured with and without treatment in the presence of cytokines until first cell division (40-44hrs). The daughter cells were manually separated, washed with PBS and collected for RNA sequencing.
Publication Title
Aging alters the epigenetic asymmetry of HSC division.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Subject
View Samples