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GSE67457
Homo sapiens
6 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Pin1 inhibiton exerts anti-oncogenic effects on LNCaP and DU145 cells despite the gene regulation patterns by Pin1 were different in both cells.
Publication Title
Pin1 Inhibitor Juglone Exerts Anti-Oncogenic Effects on LNCaP and DU145 Cells despite the Patterns of Gene Regulation by Pin1 Differing between These Cell Lines.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 10 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Despite advance in interferon-based treatment for chronic hepatitis C, difficult-to-treat patients remain in existence yet. To identify key genes involved in difficult-to-treat characteristics, gene expression patterns of miRNA and RNA were analyzed by profiling pretreatment liver tissues from five sustained virological responders (SVR), three relapsers (R) and four non-responders (NR). Expression levels of miRNA and mRNA were compared between SVR/R and NR groups by using microarray, respectively. Quantitative real-time reverse-transcriptase polymerase chain reaction and statistical analyses validated genes with significantly differential expression levels in 50 liver tissues: proliferation-, inflammation- and anti-apoptosis-related mRNA expression levels increased significantly in NR, compared to SVR/R. Of miRNA with significantly differential expression levels on microarray, several miRNA were correlated inversely with those significant mRNA. In vitro studies by using miRNA inhibitors and mimics verified the inverse correlation between the miRNA and mRNA. These findings enhance our understanding of the difficult-to-treat molecular mechanism and identification of target molecules for novel treatments.
Publication Title
Involvement of MAP3K8 and miR-17-5p in poor virologic response to interferon-based combination therapy for chronic hepatitis C.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
We report the expression profiles of the nuclear receptor family of transcription factors, known regulators of metabolism, during iPSC generation. Unique but overlapping expression patterns were found in iPSCs derived from adipose derived stem cells (ADSCs) and embryonic fibroblasts (human and mouse) that correlate with developmental transitions in the cell.
Publication Title
ERRs Mediate a Metabolic Switch Required for Somatic Cell Reprogramming to Pluripotency.
Sample Metadata Fields
Specimen part, Cell line, Time
View Samples- Homo sapiens
- 52 Downloadable Samples
IlluminaHiSeq2000
Description
Chronic lymphocytic leukemia (CLL) is a biologically and clinically heterogeneous disease. The somatic hypermutation status of the immunoglobulin heavy chain variable (IGHV) genes has been identified as one of the most robust prognostic markers in CLL. Patients with unmutated IGHV status (U-CLL) typically experience an inferior outcome compared to those whose clones express mutated IGHV genes (M-CLL). We conducted a genome-wide DNA methylation analysis in CD19+ B-cells from a group of 43 CLL patients using reduced representation bisulfite sequencing (RRBS). Using base-pair resolution methylation sequencing, 2323 differentially methylated regions between CLL and normal B-cells (CLL-specific DMRs) and 569 between M-CLL and U-CLL samples (IGHV-specific DMRs) were identified in the CLL genomes. The IGHV-specific DMRs are mostly unique when compared to the CLL-specific DMRs. Less than 10% of the IGHV-specific DMRs are located in promoter regions; however, more than half of these overlap with known DNase I hypersensitive sites, enhancer regions marked by histone modification (H3K4Me1 and H3K27Ac), and transcription factor binding sites in the ENCODE datasets, which indicates that these DMRs contain regulatory sequences. Distinctive DNA methylation patterns were observed in M-CLL and U-CLL samples. Overall, U-CLL was found to contain 50% more hypermethylated regions than M-CLL samples. The hypermethylated loci observed in the U-CLL samples also appear to be hypermethylated in normal naïve B-cells as compared memory B-cells, suggesting that M-CLL and U-CLL differ in differentiation status corresponding to normal B-cell differentiation stages. RNA-seq analysis performed using matched samples (n=34), in which both DNA methylation and gene expression data were available, demonstrated excellent correlation between DNA methylation and gene expression. Several genes whose expression status was previously shown to be associated with CLL prognosis such as ZAP70, CRY1, LDOC1, SEPT10, LAG3, and LPL were differentially methylated in the promoter regions between M-CLL and U-CLL samples indicating that DNA methylation plays an important role in defining the gene expression patterns of these prognostic genes. We further validated 9 genes with IGHV-specific DMRs in the promoter regions using bisulfite pyrosequencing, and the results demonstrated excellent correlation between differential methylation and IGHV mutation status. These novel differentially methylated genes could be developed into biomarkers for CLL prognosis. In addition, DNA hypomethylation was observed in a significant number of genes involved in lymphocyte activation such as PDCD1, NFAT1, and CD5. DNA hypomethylation was observed in the proximal promoter and far up-stream enhancer regions of CD5, an important cell surface marker that uniquely identifies CLL. Overall, the DNA methylation landscape in CLL patients indicates that CLL B cells possess an active B-cell phenotype; at the same time, U-CLL and M-CLL are faithfully committed to their lineage resembling either naïve or memory B-cells. In summary, this comprehensive DNA methylation analysis has identified a large number of novel epigenetic changes in CLL patients. The results from this study will further advance our understanding of the epigenetic contribution to molecular subtypes in CLL. Overall design: To perform a transcriptome analysis in CLL, we generated sequencing libraries from total RNA isolated from purified B-cells of CLL patients and healthy donnors. The RNA-seq libraries were sequenced using Illumina HiSeq2000 sequencer with a read length of 100bp. 11 CLL B-cell samples, 3 normal control samples including one each of normal CD19+ B cells were studied. We generated 20-30 million Illumina sequencing reads for each sample.
Publication Title
Hypomethylation coordinates antagonistically with hypermethylation in cancer development: a case study of leukemia.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This study examines the innate immune response of human pluripotent stem cell derived airway epithelium. Immune challenge was performed with TNF-alpha or bacterial lipopolysaccharide (LPS)
Publication Title
Innate immune response of human pluripotent stem cell-derived airway epithelium.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Glioblastomas grow in a rich neurochemical mileu, but targeting neurochemical signaling as a potential therapeutic avenue for these incurable tumors has been underexplored. Thus, we probed patient derived glioblastoma stem cells with a focused library of neurochemicals, to identify new therapeutic targets. Dopaminergic, serotonergic and cholinergic pathways were found to be active against glioblastoma. In particular, dopamine receptor D4 (DRD4) antagonists selectively inhibited glioblastoma growth in vitro and in vivo, in addition to showing synergistic effect with temozolomide. Small molecule or genetic antagonism of DRD4 suppressed ERK1/2 signaling and impaired autophagic flux causing accumulation of autophagic vacuoles and ubiquitinated proteins, associated with G0/G1 cell cycle arrest. These data suggest a new mechanism for treating glioblastoma through modulating dopamine DRD4 signaling.
Publication Title
Inhibition of Dopamine Receptor D4 Impedes Autophagic Flux, Proliferation, and Survival of Glioblastoma Stem Cells.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
We performed gene expression profiling of hydrogen-bond surrogate that targets hypoxia-inducible transcription factior complex and results in inhibition of hypoxia-inducible genes with relatively minimal perturbation of non-targeted signaling pathways.
Publication Title
Protein domain mimetics as in vivo modulators of hypoxia-inducible factor signaling.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 10 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Significant recent progress has been made with understanding eosinophilic gastrointestinal disorders (EGIDs) yet most studies have focused on eosinophilic esophagitis (EoE). Herein, we aimed to provide fundamental information about the molecular characteristics of eosinophilic gastritis (EG).
Publication Title
Histologic eosinophilic gastritis is a systemic disorder associated with blood and extragastric eosinophilia, TH2 immunity, and a unique gastric transcriptome.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 21 Downloadable Samples
- Illumina HumanWG-6 v3.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
miR-181d: a predictive glioblastoma biomarker that downregulates MGMT expression.
Sample Metadata Fields
Age, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 21 Downloadable Samples
- Illumina HumanWG-6 v3.0 expression beadchip
Description
We used a genome-wide coding gene expression profiling to identify a gene signature for the molecular classification or prognostic prediction of primary GBMs.
Publication Title
miR-181d: a predictive glioblastoma biomarker that downregulates MGMT expression.
Sample Metadata Fields
Age, Specimen part, Disease, Disease stage
View Samples