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GSE76630
Mus musculus
98 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Stromal-Based Signatures for the Classification of Gastric Cancer.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 78 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Increasing success is being achieved in the treatment of malignancies with stromal-targeted therapies, predominantly in anti-angiogenesis and immunotherapy, predominantly checkpoint inhibitors. Despite 15 years of clinical trials with anti-VEGF pathway inhibitors for cancer, we still find ourselves lacking reliable predictive biomarkers to select patients for anti-angiogenesis therapy. For the more recent immunotherapy agents, there are many approaches for patient selection under investigation. Notably, the predictive power of an Ad-VEGF-A164 mouse model to drive a stromal response with similarities to a wound healing response shows relevance for human cancer and was used to generate stromal signatures. We have developed gene signatures for 3 stromal states and leveraged the data from multiple large cohort bioinformatics studies of gastric cancer (TCGA, ACRG) to further understand how these relate to the dominant patient phenotypes identified by previous bioinformatics efforts. We have also designed multiplexed IHC assays that robustly represent the vascular and immune diversity in gastric cancer. Finally, we have used this methodology to arrive at a hypothesis of how angiogenesis and immunotherapy may fit into the experimental approaches for gastric cancer treatments.
Publication Title
Stromal-Based Signatures for the Classification of Gastric Cancer.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 20 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Increasing success is being achieved in the treatment of malignancies with stromal-targeted therapies, predominantly in anti-angiogenesis and immunotherapy, predominantly checkpoint inhibitors. Despite 15 years of clinical trials with anti-VEGF pathway inhibitors for cancer, we still find ourselves lacking reliable predictive biomarkers to select patients for anti-angiogenesis therapy. For the more recent immunotherapy agents, there are many approaches for patient selection under investigation.
Publication Title
Stromal-Based Signatures for the Classification of Gastric Cancer.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 10 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The oviducts play a critical role in gamete and embryo transport, as well as supporting fertilization and early embryo development. Progesterone receptor (PGR) is a transcription factor highly expressed in oviductal cells, while its activating ligand, progesterone (P4), surges to peak levels as ovulation approaches. P4 is known to regulate oviduct cilia beating and muscular contractions in vitro, but how PGR may mediate this in vivo is poorly understood. We used PGR-knockout (PRKO) mice to determine how PGR regulates oviductal function during the periovulatory period, in particular oviductal transport and embryo support.
Publication Title
Progesterone receptor-dependent regulation of genes in the oviducts of female mice.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
We aimed to find gene signatures associated with different subgroups of alveolar rhabdomyosarcoma cell lines defined by differences in detection of pro-apoptotic stress
Publication Title
FGFR4 signaling couples to Bim and not Bmf to discriminate subsets of alveolar rhabdomyosarcoma cells.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 48 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Timed sleep restriction designed to mimic human shift work was performed over a 2 week period in mice. On the final day, tissues were collected at 6 hour intervals to exmaine the effects of sleep restriction on circadian gene expression.
Publication Title
Circadian desynchrony promotes metabolic disruption in a mouse model of shiftwork.
Sample Metadata Fields
Sex, Specimen part, Treatment, Time
View Samples- Homo sapiens
- 17 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Aim of this project was the evaluation of the effect of flushing (intraportal and intraoperative) hepatic allografts with tacrolimus before transplantation. Group A was administered tacrolimus, 20ng/ml in 1500ml albumin solution; and Group B was administered only albumin solution. Wedge biopsie of the allograft were harvested after 15 min flushing time and the gene expression profile were determined.
Publication Title
Effect of intraportal infusion of tacrolimus on ischaemic reperfusion injury in orthotopic liver transplantation: a randomized controlled trial.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 12 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Illumina HiSeq 2500
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Genome-wide association between YAP/TAZ/TEAD and AP-1 at enhancers drives oncogenic growth.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The goal of this study was to identify YAP/TAZ direct transcriptional targets and transcriptional partners, through ChIP-sequencing and gene expression profiling.
Publication Title
Genome-wide association between YAP/TAZ/TEAD and AP-1 at enhancers drives oncogenic growth.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We have correlated transciptomics, proteomics and toponomics analyses of hippocampus tissue of inbred C57/BL6 mice to analyse the interrelationship of expressed genes and proteins at different levels of organization. We find that transcriptome and proteome levels of function are highly conserved between different mice, while the topological organization (the toponome) of protein clusters in synapses of the hippocampus is highly individual, with only few interindividual overlaps (0.15 %). In striking contrast, the overall spatial patterns of individual synaptic states, defined by protein clusters, have boundaries within a strict and non-individual spatial frame of the total synaptic network. The findings are the first to provide insight in the systems biology of gene expression on transcriptome, proteome and toponome levels of function in the same brain subregion. The approach may lay the ground for designing studies of neurodegeneration in mouse models and human brains.
Publication Title
Interlocking transcriptomics, proteomics and toponomics technologies for brain tissue analysis in murine hippocampus.
Sample Metadata Fields
No sample metadata fields
View Samples