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GSE42332
Mus musculus
3 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Microarray was used to delineate the global gene expression profile underlying the specific developmental program of two divergent antigen-specific T helper subsets (Th22 versus Th17) by identifying upregulation or downregulation of key lineage-determining transcription factors, cytokines, chemokines and other genes that govern their functional attributes.
Publication Title
Th22 cells are an important source of IL-22 for host protection against enteropathogenic bacteria.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
Agilent-014693 Human Genome CGH Microarray 244A (Probe name version), Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Recurrent epimutations activate gene body promoters in primary glioblastoma.
Sample Metadata Fields
Sex, Disease stage
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
DNA hypomethylation could lead to activation of alternate promoters in GBM. We profiled DNA methylation and H3K4me3 genome-wide, and also performed expression and copy number analysis on the same samples
Publication Title
Recurrent epimutations activate gene body promoters in primary glioblastoma.
Sample Metadata Fields
Sex, Disease stage
View Samples- Mus musculus
- 104 Downloadable Samples
Illumina HiSeq 2500
Description
Gut microbiota and the circadian clock are both key regulators of the metabolic processes. Although recent evidence points to the impact of the circadian clock on microbiota, gut microbiota effect on diurnal host gene expression remains elusive. A transcriptome analysis of germ-free mice reveals subtle changes in circadian clock gene expression. However, a lack of microbiome leads to liver feminization and alters the expression of male-specific genes involved in lipid metabolism and xenobiotic detoxification associated with sustained activation of the Growth Hormone pathway. These results emphasize the mutual interaction of gut microbiota and its host even on unexpected functions. Overall design: Total RNA-Seq of testis and ovaries of conventional raised (convR) and Germ-free (GF) female mice under ad libitum feeding regime.
Publication Title
The Mouse Microbiome Is Required for Sex-Specific Diurnal Rhythms of Gene Expression and Metabolism.
Sample Metadata Fields
Sex, Specimen part, Cell line, Subject
View Samples- Mus musculus
- 107 Downloadable Samples
- Illumina HiSeq 2500
Description
Gut microbiota and the circadian clock are both key regulators of the metabolic processes. Although recent evidence points to the impact of the circadian clock on microbiota, gut microbiota effect on diurnal host gene expression remains elusive. A transcriptome analysis of germ-free mice reveals subtle changes in circadian clock gene expression. However, a lack of microbiome leads to liver feminization and alters the expression of male-specific genes involved in lipid metabolism and xenobiotic detoxification associated with sustained activation of the Growth Hormone pathway. These results emphasize the mutual interaction of gut microbiota and its host even on unexpected functions. Overall design: Total RNA-Seq of primary hepatocytes treated with serum of conventionally raised (convR) and Germ-free (GF) male and female mice.
Publication Title
The Mouse Microbiome Is Required for Sex-Specific Diurnal Rhythms of Gene Expression and Metabolism.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 92 Downloadable Samples
- Illumina HiSeq 2500
Description
Gut microbiota and the circadian clock are both key regulators of the metabolic processes. Although recent evidence points to the impact of the circadian clock on microbiota, gut microbiota effect on diurnal host gene expression remains elusive. A transcriptome analysis of germ-free mice reveals subtle changes in circadian clock gene expression. However, a lack of microbiome leads to liver feminization and alters the expression of male-specific genes involved in lipid metabolism and xenobiotic detoxification associated with sustained activation of the Growth Hormone pathway. These results emphasize the mutual interaction of gut microbiota and its host even on unexpected functions. Overall design: Total RNA-Seq of Germ-free (GF) male mice liver injected with ghrelin.
Publication Title
The Mouse Microbiome Is Required for Sex-Specific Diurnal Rhythms of Gene Expression and Metabolism.
Sample Metadata Fields
Sex, Specimen part, Cell line, Treatment, Subject
View Samples- Mus musculus
- 84 Downloadable Samples
- Illumina HiSeq 2500
Description
Gut microbiota and the circadian clock are both key regulators of the metabolic processes. Although recent evidence points to the impact of the circadian clock on microbiota, gut microbiota effect on diurnal host gene expression remains elusive. A transcriptome analysis of germ-free mice reveals subtle changes in circadian clock gene expression. However, a lack of microbiome leads to liver feminization and alters the expression of male-specific genes involved in lipid metabolism and xenobiotic detoxification associated with sustained activation of the Growth Hormone pathway. These results emphasize the mutual interaction of gut microbiota and its host even on unexpected functions. Overall design: Total RNA-Seq of Germ-free (GF) male mice liver injected with growth hormone.
Publication Title
The Mouse Microbiome Is Required for Sex-Specific Diurnal Rhythms of Gene Expression and Metabolism.
Sample Metadata Fields
Sex, Specimen part, Cell line, Treatment, Subject
View Samples- Homo sapiens
- 109 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Background: Local recurrence is the major manifestation of treatment failure in patients with operable laryngeal carcinoma. Established clinicopathological factors cannot sufficiently predict patients that are likely to recur after treatment. Additional tools are therefore required to accurately identify patients at high risk for recurrence. Methods: Using Affymetrix U133A Genechips, we profiled fresh-frozen tumor tissues from 59 patients with operable laryngeal cancer. All patients were treated locally with surgery, with or without radiation therapy. We performed Cox regression proportional hazards modeling to identify multigene predictors of recurrence. The end-point of our analysis was disease-free survival (DFS). Gene models were directly validated in a separate, similarly treated cohort of 50 patients using Affymetrix chips. In an attempt to further validate our results, we profiled 12 selected genes of our model in formalin-fixed tumor tissues from an independent cohort of 75 patients, using quantitative real time-polymerase chain reaction (qRT-PCR). Results: We focused on genes univariately associated with DFS (p<0.05) in the training set. Among several gene models comprising different numbers of genes, a 30-gene model demonstrated optimal performance (log-rank, p<0.001). We directly applied these gene models to the validation set, after adjusting for non-biological experimental variability, and observed similar results. Specifically, median DFS, as predicted by the 30-gene model, was 34 and 80 months for high- and low-risk patients, respectively (p=0.01). Hazard Ratio (HR) for recurrence for the high-risk group was 3.87 (95% CI 1.28-11.73, p=0.017). Furthermore, unsupervised hierarchical clustering of the 75 patients, based on the qRT-PCR 12-gene profile, yielded two groups, which differed significantly in DFS (log-rank, p=0.027). HR= for recurrence was 2.26, (95% CI 1.08-4.76, p=0.031). Conclusion: We have established and validated gene models that can successfully stratify patients with laryngeal cancer, based on their risk for recurrence. Thus, patients with unfavorable prognosis, when accurately identified, could be ideal candidates for the application of more aggressive treatment modalities.
Publication Title
Identification and validation of a multigene predictor of recurrence in primary laryngeal cancer.
Sample Metadata Fields
Age, Specimen part, Disease stage
View Samples- Homo sapiens
- 82 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We aimed to predict obesity risk with genetic data, specifically, obesity-associated gene expression profiles. Genetic risk score was computed. The genetic risk score was significantly correlated with BMI when an optimization algorithm was used. Linear regression and built support vector machine models predicted obesity risk using gene expression profiles and the genetic risk score with a new mathematical method.
Publication Title
A computational framework for predicting obesity risk based on optimizing and integrating genetic risk score and gene expression profiles.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus, Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Gene Expression Array (primeview), Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Histone demethylase KDM2B regulates lineage commitment in normal and malignant hematopoiesis.
Sample Metadata Fields
Specimen part, Cell line
View Samples