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GSE24873
Mus musculus
48 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Interleukin-17 (IL-17) is essential in host defense against extracellular bacteria and fungi, especially at mucosal sites, but it also contributes significantly to inflammatory and autoimmune disease pathologies. Binding of IL-17 to its receptor leads to recruitment of the adaptor protein CIKS/Act1 via heterotypic association of their respective SEFIR domains and to activation of the transcription factor NF-kB; it is not known whether CIKS and/or NF-kB are required for all gene induction events. Here we report that CIKS is essential for all IL-17 induced immediate-early genes in primary mouse embryo fibroblasts, while NF-kB is profoundly involved. We also identify a novel sub-domain in the N-terminus of CIKS that is essential for IL-17-mediated NF-kB activation. This domain is both necessary and sufficient for the interaction between CIKS and TRAF6, an adaptor required for NF-kB activation. The ability of decoy peptides to block this interaction may provide a new therapeutic strategy for intervention in IL-17-driven autoimmune and inflammatory diseases.
Publication Title
IL-17-induced NF-kappaB activation via CIKS/Act1: physiologic significance and signaling mechanisms.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Case story. A patient with massive infiltration of the visceral adipose tissue depot by BAT in a patient with a catecholamine secreting paraganglioma. BAT tissue was identified by protein expression of UCP1 (western blotting and immunostaining)
Publication Title
Chronic adrenergic stimulation induces brown adipose tissue differentiation in visceral adipose tissue.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
Illumina Genome Analyzer
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 8 Downloadable Samples
- Illumina Genome Analyzer
Description
The purpose of this study was to develop a quantification method that can be used to assess the ability of tag-seq to detect malignant B-cell transcripts. The data support that tumour cell concentration is an important variable with fundamental impact on gene expression pattern. Overall design: We analysed eight serial dilutions of the malignant B-cell line, OCI-Ly8, into the embryonic kidney cell line, HEK293, by tag-sequencing. No technical replicates were performed.
Publication Title
A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 8 Downloadable Samples
Illumina Genome Analyzer
Description
The purpose of this study was to develop a quantification method that can be used to assess the ability of exon microarray to detect malignant B-cell transcripts.
Publication Title
A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Digital gene expression profiling of primary acute lymphoblastic leukemia cells.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The aim of this study was to benchmark digital gene expression (DGE) profiling by massively parallel sequencing against the most commonly used method for gene expression analysis. We compared the DGE levels to expression levels from Affymetrix arrays. Data from Affymetrix Human Genome U133 plus 2.0 GeneChips was available for 12 of the 21 RNA samples from ALL patient cells analyzed by DGE.
Publication Title
Digital gene expression profiling of primary acute lymphoblastic leukemia cells.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
To investigate the role of the transcription factor ERG in hematopoiesis we generated Erg heterozygous knockout and conditional Erg knockout mice. We found that several hematopoietic cell types were decreased in these mice. To define Erg downstream target genes in hematopoietic stem cells, we sorted Lineage-, Sca-1+, c-kit+, CD150+, CD48- cells from Erg +/- mice for gene expression analysis. To define Erg downstream target genes in hematopoietic progenitors, we sorted multipotent progenitors (Lineage-, Sca-1+, c-kit+, CD150-) from Erg -/- mice for gene expression analysis.
Publication Title
ERG promotes the maintenance of hematopoietic stem cells by restricting their differentiation.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Exon 1.0 ST Array [CDF: huex10st_Hs_ENSG_20.0 (huex10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Todays diagnostic tests for multiple myeloma (MM) reflect the criteria of the updated WHO classification based on biomarkers and clinicopathologic heterogeneity. To that end, we propose a new subtyping of myeloma plasma cells (PC) by B-cell subset associated gene signatures (BAGS), from the normal B-cell hierarchy in the bone marrow (BM). To do this, we combined FACS and GEP data from normal BM samples to generate classifiers by BAGS for the PreBI, PreBII, immature (Im), nave (N), memory (M) and PC subsets. The resultant tumor assignments in available clinical datasets exhibited similar BAGS subtype frequencies in four cohorts across 1302 individual cases. The prognostic impact of BAGS was analyzed in patients treated with high dose melphalan as first line therapy in three prospective trials: UAMS, HOVON65/GMMG-HD4 and MRC Myeloma IX with Affymetrix U133 plus 2.0 microarray data available from diagnostic myeloma PC samples. The BAGS subtypes were significantly associated with progression free (PFS) and overall survival (OS) (PFS, P=3.05e06 and OS, P=1.06e11) in a meta-analysis of 926 pts. The major impact was observed within the PreBII and M subtypes conferred with significant inferior prognosis compared to the Im, N and PC subtypes. Cox proportional hazard meta-analysis documented that the BAGS subtypes added significant and independent prognostic information to the TC classification system and ISS staging. BAGS subtype analysis identified transcriptome differences and a number of novel differentially spliced genes. We have identified hierarchal subtype differences in the myeloma plasma cells, with prognostic impact. This observation support an acquired reversible B-cell trait and phenotypic plasticity as a hallmark, also in MM.
Publication Title
A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.
Sample Metadata Fields
Specimen part
View Samples