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GSE107033
Homo sapiens
11 Downloadable Samples
Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
The lncRNA GATA6-AS epigenetically regulates endothelial gene expression via interaction with LOXL2.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Impaired or excessive growth of endothelial cells contributes to several diseases. However, the functional involvement of regulatory long non-coding RNAs in these processes is not well defined. Here we show that the long non-coding antisense transcript of GATA6 (GATA6-AS) interacts with the epigenetic regulator LOXL2 to regulates endothelial gene expression via changes in histone methylation. Using RNA deep sequencing, we find that GATA6-AS is up-regulated in endothelial cells during hypoxia. Silencing of GATA6-AS diminishes TGF-2-induced endothelial-mesenchymal transition in vitro and promotes formation of blood vessels in mice. We identify LOXL2, known to remove activating H3K4me3 chromatin marks, as a GATA6-AS-associated protein, and reveal a set of angiogenesis-related genes that are inversely regulated by LOXL2 and GATA6-AS silencing. As GATA6-AS silencing reduces H3K4me3 methylation of two of these genes, periostin and cyclooxygenase-2, we conclude that GATA6-AS acts as negative regulator of nuclear LOXL2 function.
Publication Title
The lncRNA GATA6-AS epigenetically regulates endothelial gene expression via interaction with LOXL2.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Impaired or excessive growth of endothelial cells contributes to several diseases. However, the functional involvement of regulatory long non-coding RNAs in these processes is not well defined. Here we show that the long non-coding antisense transcript of GATA6 (GATA6-AS) interacts with the epigenetic regulator LOXL2 to regulates endothelial gene expression via changes in histone methylation. Using RNA deep sequencing, we find that GATA6-AS is up-regulated in endothelial cells during hypoxia. Silencing of GATA6-AS diminishes TGF-2-induced endothelial-mesenchymal transition in vitro and promotes formation of blood vessels in mice. We identify LOXL2, known to remove activating H3K4me3 chromatin marks, as a GATA6-AS-associated protein, and reveal a set of angiogenesis-related genes that are inversely regulated by LOXL2 and GATA6-AS silencing. As GATA6-AS silencing reduces H3K4me3 methylation of two of these genes, periostin and cyclooxygenase-2, we conclude that GATA6-AS acts as negative regulator of nuclear LOXL2 function.
Publication Title
The lncRNA GATA6-AS epigenetically regulates endothelial gene expression via interaction with LOXL2.
Sample Metadata Fields
No sample metadata fields
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- Bos taurus
- 24 Downloadable Samples
- Bovine Gene 1.1 ST Array (bovgene11st)
Description
Infection with non-cytopathic bovine viral diarrhea virus (ncpBVDV) is associated with uterine disease and infertility. This study investigated the influence of ncpBVDV on immune functions of the bovine endometrium by testing the response to bacterial lipopolysaccharide (LPS) at the level of whole-transcriptomic gene expression. Analysis showed that approximately 30% of the 1,006 genes altered by LPS are involved in immune response. Many innate immune genes that typically respond to LPS were inhibited by ncpBVDV including those involved in pathogen recognition, inflammation, interferon response, chemokines, tissue remodeling, cell migration and cell death/survival. Infection with ncpBVDV can thus compromise immune function and pregnancy recognition thereby potentially predisposing infected cows to postpartum bacterial endometritis and reduced fertility.
Publication Title
Global transcriptomic profiling of bovine endometrial immune response in vitro. I. Effect of lipopolysaccharide on innate immunity.
Sample Metadata Fields
Sex, Treatment
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st), Affymetrix Human Gene Expression Array (primeview)
Description
Development of the hematopoietic system is dynamically controlled by the interplay of transcriptional and epigenetic networks to determine cellular identity. Those networks are critical for homeostasis and frequently dysregulated in leukemias. We identified histone demethylase Kdm2b as a critical regulator of definitive hematopoiesis and lineage specification of hematopoietic stem and progenitor cells (HSPCs). RNA sequencing in murine HSPCs and genome-wide chromatin immunoprecipitation studies in human leukemias revealed that Kdm2b regulates differentiation, lineage choice, cytokine signaling, and quiescence.
Publication Title
Histone demethylase KDM2B regulates lineage commitment in normal and malignant hematopoiesis.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 4 Downloadable Samples
Illumina HiSeq 2500
Description
Development of the hematopoietic system is dynamically controlled by the interplay of transcriptional and epigenetic networks to determine cellular identity. Those networks are critical for homeostasis and frequently dysregulated in leukemias. We identified histone demethylase Kdm2b as a critical regulator of definitive hematopoiesis and lineage specification of hematopoietic stem and progenitor cells (HSPCs). RNA sequencing in murine HSPCs and genome-wide chromatin immunoprecipitation studies in human leukemias revealed that Kdm2b regulates differentiation, lineage choice, cytokine signaling, and quiescence. Overall design: Comparison of gene expression in wild-type and knockout HSPCs
Publication Title
Histone demethylase KDM2B regulates lineage commitment in normal and malignant hematopoiesis.
Sample Metadata Fields
No sample metadata fields
View Samples- Rattus norvegicus
- 42 Downloadable Samples
Description
TCF7L2 regulates multiple metabolic pathways in hepatocytes through a transcriptional network involving HNF4a Overall design: For the identification of Tcf7l2 target genes using a RNA-seq timecourse, and for identifying the binding sites of Tcf7l2 and Hnf4a, Tcf7l2 was silenced in rat H4IIE hepatocytes using siRNA for Tcf7l2 with a scrambled siRNA as control. Treatment times for RNA-seq samples were 3, 6, 9, 12, 15, 18, 48, and 96 hours, and for ChIP-seq samples 15 h. RNA-seq timecourse was performed in duplicate or triplicate, and the ChIP-seq in duplicate for Tcf7l2 and in singlicate for Hnf4a. The H4IIE-specific transcriptome was defined from an independent set of pooled 24 h siRNA treated samples (N=3 for siRNA for Tcf7l2 and N=3 for scrambled siRNA).
Publication Title
The mechanisms of genome-wide target gene regulation by TCF7L2 in liver cells.
Sample Metadata Fields
No sample metadata fields
View Samples