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GSE31134
Homo sapiens
6 Downloadable Samples
Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
A heterozygous IDH1R132H/WT mutation induces genome-wide alterations in DNA methylation.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
The cytosolic NADP+-dependent isocitrate dehydrogenase IDH1 is frequently mutated in human cancers. Recent studies have shown that IDH1 mutant primary glioblastomas (GBM) and acute myeloid leukemias (AML) display robust association with CpG island methylator phenotype (CIMP). Such observations bring into question whether IDH1 mutations directly contribute to the development of CIMP or if the hypermethylation phenotype precedes acquisition of IDH1 mutations. To reveal the effects of IDH1 mutations on DNA methylation and gene expression, we introduced the most frequently observed IDH1 mutation, R132H, into a human cancer cell line through gene targeting. We profiled changes in methylation at over 27,000 CpG dinucleotides spanning 14,475 unique gene regions and characterized genome-wide gene expression alterations resulting from IDH1R132H knockin. We observed consistent changes in both DNA methylation and gene expression when comparing two independent IDH1R132H knockin clones to their wild-type parent, and report hypermethylation of over 2,000 loci, the majority of which contained preexisting methylation in IDH1WT parental cells. These loci exhibit the same trend in primary TCGA glioblastoma tumors with mutant IDH1 as compared to those with wild-type IDH1 and have significant overlap with genes hypermethylated in glioma-CIMP+ tumors. Furthermore, we identify specific DNA methylation and gene expression alterations which correlate with IDH1 mutations in our cell-line model as well as primary glioblastomas, including hypermethylation and transcriptional silencing of RBP1. The presented data provide insight on epigenetic alterations induced by IDH1 mutations and support a contributory role for IDH1 mutants in regulation of DNA methylation and gene expression in human cancer cells.
Publication Title
A heterozygous IDH1R132H/WT mutation induces genome-wide alterations in DNA methylation.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 175 Downloadable Samples
Illumina HiSeq 2500
Description
Background: Patients with locally advanced or recurrent prostate cancer typically undergo androgen deprivation therapy (ADT), but the benefits are often short-lived, and responses are variable. ADT failure results in castration-resistant prostate cancer (CRPC), that inevitably leads to metastasis. We hypothesized that differences in tumor transcriptional programs may reflect differential responses to ADT and subsequent metastasis. Results: We performed whole transcriptome analysis of 20 patient-matched Pre-ADT biopsies and 20 Post-ADT prostatectomy specimens, and identified two subgroups of patients (high impact and low impact groups) that exhibited distinct transcriptional changes in response to ADT. We found that all patients lost AR-dependent subtype (PCS2) transcriptional signatures. The high impact group maintained the more aggressive subtype (PCS1) signal, while the low impact group more resembled an AR-suppressed (PCS3) subtype. Computational analyses identified transcription factor coordinated groups (TFCGs) enriched in the high impact group network. Leveraging a large public dataset of over 800 metastatic and primary samples, we identified 33 TFCGs in common between high impact group and metastatic lesions, including SOX4/FOXA2/GATA4, ERF/ETV5/ETV3/ELF4, and a TFCG containing JUN, JUNB, JUND, FOS, FOSB, and FOSL1. The majority of metastatic TFCGs were subsets of larger TFCGs in the high impact group network, suggesting refinement of critical TFCGs in prostate cancer progression. Conclusions: We have identified TFCGs associated with pronounced initial transcriptional response to ADT, aggressive signatures, and metastasis. Our findings suggest multiple new hypotheses that could lead to novel combination therapies to prevent development of CRPC following ADT. Overall design: Sequence alignment and gene level expression quantifications were obtained using the STAR read aligner. We obtained an average of 91,077,364 reads (sd: 41,923,139) with a mean transcriptome coverage of 64x (83% mapping to exons).
Publication Title
Identification of the Transcription Factor Relationships Associated with Androgen Deprivation Therapy Response and Metastatic Progression in Prostate Cancer.
Sample Metadata Fields
Disease, Treatment, Race, Subject
View Samples- Mus musculus
- 32 Downloadable Samples
- IlluminaHiSeq2000
Description
As regulators of protein degradation, proteasomes regulate practically all cellular functions. It is therefore logical to assume that replacement of the constitutive proteasome (CP) by its IFN- inducible homolog immunoproteasome (IP) could have far reaching effects on cell function. Accordingly, recent studies have revealed important roles for IPs in immune cells beyond MHC I-peptide processing. Moreover, the expression of IPs in non-immune cells from non-inflamed tissues suggests that the involvement of IPs is not limited to the immune system. We demonstrate here that IP-deficiency affects the transcription of 8104 genes in maturing dendritic cells (DCs). This occurs mainly through non-redundant regulation of key immune-related transcription factors by CPs and IPs. Additionally, IP-deficiency decreases DC''s efficiency to activate CD8+ T cells in vivo. Our study reveals that the broad cellular roles of IPs could rely on transcription regulation and, more importantly, illustrates how IP-deficiency could generate MHC I-peptide processing-independent phenotypes. Overall design: Examination of the transcriptome of WT and immunoproteasome-deficient cells at 4 different time points of dendritic cell maturation, in 4 experimental replicates (total of 32 samples).
Publication Title
Immunoproteasomes shape the transcriptome and regulate the function of dendritic cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 36 Downloadable Samples
- Affymetrix Human Genome U219 Array (hgu219), Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
Interleukin-6 (IL-6) is an important growth factor for estrogen receptor-alpha (ER) positive breast cancer, and elevated serum IL-6 is associated with poor prognosis. We firstly demonstrated that pSTAT3 is the primary downstream IL-6 signaling pathway in ER-positive breast cancer, using ten different breast cancer cell lines. Three-dimensional cultures of these cell lines were also used to develop a 17-gene IL-6 specific gene signature that could be used to identify IL-6 driven disease. This signature included a variety of genes involved in immune cell function and migration, cell growth and apoptosis, and the tumor microenvironment. To further validate this IL-6 signature, we obtained 36 human ER-positive breast cancer tumor samples with matched serum for gene expression profiling and determination of an IL-6 pathway activation score (PAS). Patients with high IL-6 PAS were also enriched for elevated serum IL-6 (>=10 pg/ml). We then utilized a murine MCF-7 xenograft model to determine the role of IL-6 in ER-positive breast cancer and potential anti-IL-6 therapy in vivo. When IL-6 was administered in vivo, MCF-7 cells engrafted without the need for estrogen supplementation. Subsequently, we prophylactically treated mice at MCF-7 engraftment with an anti-IL-6 antibody (siltuximab), fulvestrant or combination therapy. Siltuximab alone was able to blunt MCF-7 engraftment. Similarly, when tumors were allowed to grow to 125 mm3 before treatment, siltuximab alone demonstrated tumor regressions in 90% (9/10) of tumors. Given the established role for IL-6 in ER+ breast cancer, this data demonstrates the potential for anti-IL-6 therapeutics.
Publication Title
Interleukin-6 is a potential therapeutic target in interleukin-6 dependent, estrogen receptor-α-positive breast cancer.
Sample Metadata Fields
Specimen part
View Samples- Escherichia coli
- 12 Downloadable Samples
- Affymetrix E. coli Genome 2.0 Array (ecoli2)
Description
We measured transcriptional changes resulting from overexpression or downregulation of the GTPase Obg.
Publication Title
Obg and Membrane Depolarization Are Part of a Microbial Bet-Hedging Strategy that Leads to Antibiotic Tolerance.
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 50 Downloadable Samples
- Illumina HiSeq 2500
Description
Transcriptome of S. cerevisiae in shifts between glucose and maltose media with different re-growth conditions Overall design: Cells are pregrown in maltose, then grown for different durations in glucose and then washed back to maltose
Publication Title
A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast.
Sample Metadata Fields
Subject
View Samples- Mus musculus
- 6 Downloadable Samples
- Illumina HiSeq 2500
Description
Somatic ribosomal protein defects have recently been described in cancer, yet their impact on cellular transcription and translation remain poorly understood. Here we integrated mRNA sequencing, ribosome footprinting, polysomal RNA seq and quantitative mass spectrometry datasets obtained from an isogenic mouse lymphoid cell model in order to study the T-cell acute lymphoblastic leukemia (T-ALL) associated R98S mutation in ribosomal protein L10 (RPL10 R98S). RPL10 R98S induced changes in protein levels were to a much larger extent caused by transcriptional then translational changes and RPL10 R98S cells showed a gene signature corresponding to deregulation of hematopoietic transcription factors. Phosphoserine phosphatase (PSPH), a key enzyme in serine biosynthesis, displayed elevated transcription and translation and was one of the proteins showing the strongest upregulation in RPL10 R98S cells. Increased Psph protein levels were confirmed in RPL10 R98S engineered JURKAT cells and in hematopoietic cell cultures derived from Rpl10 R98S knock-in mice. Moreover, elevated serine and glycine biosynthesis in RPL10 R98S cells was supported by metabolic flux analyses. Analysis of PSPH expression levels in T-ALL patient samples revealed that PSPH upregulation is a generalized phenomenon in this disease, associated with elevated circulating serine and glycine levels. Addition of serine and glycine enhanced survival of stromal and myeloid cells, suggesting supportive effects on the hematopoietic niche. Finally, reduction of PSPH expression levels in T-ALL cell lines suppressed their in vitro proliferation and their capacity to expand in T-ALL xenograft models. In conclusion, transcriptome, translatome and proteome analysis of the RPL10 R98S mutation identified RPL10 R98S driven induction of cellular serine biosynthesis. Whereas serine metabolism has been implicated in cancer via PHGDH amplification, this is the first report supporting dependence of ALL cells on the serine biosynthesis enzyme PSPH. Overall design: 3 biological replicates for each condition (RPL10 R98S, RPL10 WT)
Publication Title
Translatome analysis reveals altered serine and glycine metabolism in T-cell acute lymphoblastic leukemia cells.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 193 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Microarrays were used to analyze the gene expression in endoscopic-derived intestinal mucosal biopsies from patients with inflammatory bowel diseas (IBD) and controls
Publication Title
Genetic and Transcriptomic Bases of Intestinal Epithelial Barrier Dysfunction in Inflammatory Bowel Disease.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 19 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Hypoxia is a low oxygen condition that occurs in the developing tumor mass and that is associated with poor prognosis and resistance to chemo- and radio-therapy. The definition of the hypoxia gene signature is fundamental for the understanding of tumor biology, as in the case of neuroblastoma, the most common pediatric solid tumor. The issue of identifying a significant group of variables in microarray gene expression experiments is particularly difficult due to the typical high dimensional nature of the data and great effort has been spent in the development of feature selection techniques.
Publication Title
A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients.
Sample Metadata Fields
Cell line
View Samples