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GSE36306
Sus scrofa
12 Downloadable Samples
Affymetrix Porcine Genome Array (porcine)
Description
ISCOM vaccines induce a balanced Th1/Th2 response and cytotoxic T lymphocytes. The adjuvant component, ISCOM-Matrix, consists of purified saponin fractions, cholesterol and phospholipids. The mode of action for the ISCOM-Matrix is known to some extent but still we lack knowledge of important segments in initiation of the immune response. The study was performed to analyze the early transcriptional responses to the ISCOM-Matrix alone, without the use of co-administered antigen. Matrix M (AbISCO 100) was given as intramuscular injection and after 24 hours the pigs was sacrificed for gene expression analysis, performed for the injection site and the draining lymph node.
Publication Title
Global transcriptional response to ISCOM-Matrix adjuvant at the site of administration and in the draining lymph node early after intramuscular injection in pigs.
Sample Metadata Fields
Sex, Age, Specimen part, Treatment
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Breast cancer stem cells are considered estrogen receptor negative and estrogen insensitive. However, estrogens potentiate growth of the vast majority of breast tumors. In this study, we characterize the expression of estrogen receptors in breast cancer stem cells.
Publication Title
mTOR inhibitors counteract tamoxifen-induced activation of breast cancer stem cells.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 29 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The feasibility of longitudinal metastatic biopsies for gene expression profiling in breast cancer is unexplored. Dynamic changes in gene expression can potentially predict efficacy of targeted cancer drugs.
Publication Title
Gene expression profiling of sequential metastatic biopsies for biomarker discovery in breast cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
proliferative effect in MCF7 cells.
Publication Title
Estrogen Receptor β as a Therapeutic Target in Breast Cancer Stem Cells.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 768 Downloadable Samples
Illumina HiSeq 2000
Description
This study was conducted to determine heterogeneity of cancer-associated fibroblasts (CAFs) in mammary tumors, by unsupervised analysis of single cell transcriptomes. Overall design: 768 single EpCAM-, CD45-, CD31- NG2- fibroblasts were isolated from mammary tumors of two 14 week old MMTV-PyMT mice. The cells were sequenced following the Smart-Seq2 protocol (Picelli et al. Nature Methods 2013).
Publication Title
Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing.
Sample Metadata Fields
Age, Specimen part, Cell line, Subject
View Samples- Mus musculus
- 29 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Interacting chemokine signals regulate dendritic cells in acute brain injury.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 15 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We inflicted TBI to wildetype (wt) mice in order to establish whether the anti-inflammatory agent cyclophosphamide can be used therapeutically.
Publication Title
Interacting chemokine signals regulate dendritic cells in acute brain injury.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 14 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We inflicted TBI to chemokine-deficient mouse lines in order to establish involvement of various signalling pathways that may be addressed therapeutically.
Publication Title
Interacting chemokine signals regulate dendritic cells in acute brain injury.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 19 Downloadable Samples
- Illumina HiSeq 2500
Description
This study takes on the problem of bridging transcriptional data to neuronal phenotype and function by using publicly available datasets characterizing distinct neuronal populations based on gene expression, electrophysiology and morphology. In addition, a non-published PatchSeq dataset of Pvalb-cre positive cells in CA1 was used, which is the dataset submitted here. Taken together, these datasets were used to identify cross-cell type correlations between these data modalities. Detected correlations were classified as “class-driven” if they could be explained by differences between excitatory and inhibitory cell classes, or “non-class driven” if they could be explained by gradient like phenotypic differences within cell classes. Some genes whose relationships to electrophysiological or morphological properties were found to to be specific to either excitatory or inhibitory cell types. The Patch Seq data specifically allowed simultaneous single-cell characterization of gene expression and electrophysiology, showing that the gene-property correlations observed across cell types were further predictive of within-cell type heterogeneity. Overall design: Patchseq data was collected from single cells of the mouse hippocampus CA1 in order to investigate correlations between gene expression patterns and electrophysiological properties of various interneuron cell classes 19 individual cells Re-analysis details included in supplementary file readme.txt.
Publication Title
Transcriptomic correlates of electrophysiological and morphological diversity within and across excitatory and inhibitory neuron classes.
Sample Metadata Fields
Age, Specimen part, Subject
View Samples- Homo sapiens
- 2 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Patients with systemic lupus erythematosus (SLE) have a markedly increased risk to develop cardiovascular disease, and traditional cardiovascular risk factors fail to account for this increased risk. We used microarray to probe the platelet transcriptome in individuals with SLE and healthy controls, and the gene and protein expression of a subset of differentially expressed genes was further investigated and correlated to platelet activation status. Real-time PCR was used to confirm a type I interferon (IFN) gene signature in patients with SLE, and the IFN-regulated proteins PRKRA, IFITM1 and CD69 (p<0.0001) were found to be up-regulated in platelets from SLE patients as compared to healthy volunteers. Notably, patients with a history of vascular disease had increased expression of type I IFN-regulated proteins as well as more activated platelets as compared with patients without vascular disease. We suggest that interferogenic immune complexes stimulate production of IFN which up-regulates the megakaryocytic type I IFN-regulated genes and proteins. This could affect platelet activation and contribute to development of vascular disease in SLE. In addition, platelets with type I IFN signature could be a novel marker for vascular disease in SLE.
Publication Title
Platelet transcriptional profile and protein expression in patients with systemic lupus erythematosus: up-regulation of the type I interferon system is strongly associated with vascular disease.
Sample Metadata Fields
Sex, Age, Specimen part, Disease
View Samples