Adipose tissue Glut4 overexpression or knockout
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Mark Herman
PROVIDER: E-GEOD-35378 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:The origin and function of human double negative (DN) TCR-alpha/beta T cells is unknown. They are thought to contribute to the pathogenesis of systemic lupus erythematosus because they expand and accumulate in inflamed organs. Here we provide evidence that human TCR-alpha/beta CD4- CD8- DN T cells derive exclusively from activated CD8+ T cells. Freshly isolated TCR-alpha/beta DN T cells display a distinct gene expression and cytokine production profile. DN cells isolated from peripheral blood as well as DN cells derived in vitro from CD8+ T cells, produce a defined array of pro-inflammatory mediators that includes IL-1, IL-17, IFN-gama, CXCL3, and CXCL2. These results indicate that, upon activation, CD8+ T cells have the capacity to acquire a distinct phenotype that grants them inflammatory capacity. TCR-alpha-beta+ CD25- T cells from healthy human individuals were sorted into CD4+, CD8+, and CD4-CD8- T cells. Cell lysis and RNA extraction was performed immediately. RNA from each cell subset was pooled.
2009-05-16 | E-GEOD-16130 | biostudies-arrayexpress
Project description:Mutation or epigenetic silencing of the transcription factor C/EBP? is observed in ~10% of patients with acute myeloid leukemia (AML). In both cases, a common global gene expression profile is observed, but down-stream targets relevant for leukemogenesis are not known. Here we identify Sox4 as a direct target of C/EBP? whereby its expression is inversely correlated with C/EBP? activity. Downregulation of Sox4 abrogated increased self-renewal of leukemic cells and restored their differentiation. Gene expression profiles of leukemia initiating cells (LICs) from both Sox4 overexpression and murine mutant C/EBP? AML models clustered together, but differed from other types of AML. Our data demonstrate that Sox4 overexpression resulting from C/EBP? inactivation contributes to the development of leukemias with a distinct LIC phenotype. K/L (bi-allelic Cebpa mutations) leukemic mice and Sox4 overexprssing leukemic mice were used for RNA extraction and hybridization on Affymetrix microarrays. We compared these microarray samples with the C57/BL6 wild type mice.
2013-03-23 | E-GEOD-45430 | biostudies-arrayexpress
Project description:Understanding congenital liver disease requires elucidation of the signaling pathways and transcriptional events in the developing liver. Comprehensive assessment of gene expression between 10.5 and 16.5 dpc in the developing mouse liver and comparison with adult liver and non-hepatic embryonic tissue was validated with real-time PCR and in situ hybridization. The broad nature of the analysis provides insights into patterns of genetic control of hepatogenesis. Pathways implicated in human disease are highly regulated at the transcriptional level. Rather than activating or inhibiting a pathway or biological process by altering the expression of a single signaling molecule, transcriptional changes in large numbers of genes in a pathway or process are regulated in a coordinated manner. For example, both TGF-beta and Notch signaling is inhibited during hepatogenesis not just by decreasing transcription of multiple pathway members, but also with a complementary increase in the transcription of a pathway inhibitor. Similarly, genes related to specific biological processes exhibit strong temporal synchronization in which multiple members of the pathway have similar transcriptional regulation over time. Global coordination of signaling or functional families at the transcriptional level may be a mechanism to produce robustness of the desired outcomes. In addition, this comprehensive analysis provides a database for the further study of transcriptional events during liver development by identifying liver-specific, highly regulated genes. Experiment Overall Design: In order to provide transcriptional profile of the developing liver compared both to normal adult liver and non-hepatic embryonic tissueswe performed high-density microarray analysis using Affymetrix MG 430 2.0 chips for embryonic liver samples at 10.5, 11.5, 12.5, 13.5, 14.5, and 16.5 days post conception (dpc), embryo-minus liver tissues at 10.5, 11.5, 12.5, and 14.5 dpc, and normal 10-week-old adult mouse liver. Each sample consisted of at least five embryos.
2008-06-11 | E-GEOD-11201 | biostudies-arrayexpress
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2011-12-01 | E-GEOD-33031 | biostudies-arrayexpress
Project description:In blood, the transcription factor C/EBPa is essential for myeloid differentiation and has been implicated in regulating self-renewal of fetal liver hematopoietic stem cells (HSCs). However, its function in adult HSCs is unknown. Here, using an inducible knockout model, we found that C/EBPa deficient adult HSCs underwent a pronounced expansion with enhanced proliferation, characteristics resembling fetal liver HSCs. Consistently, transcription profiling of C/EBPa deficient HSCs revealed a gene expression program similar to fetal liver HSCs. Moreover we observed that age-specific C/EBPa expression correlated with its inhibitory effect on the HSC cell cycle. Mechanistically, we identified N-Myc as a C/EBPa downstream target. C/EBPa upregulation during HSC transition from an active fetal state to a quiescent adult state was accompanied by down-regulation of N-Myc, and loss of C/EBPa resulted in de-repression of NMyc. Our data establish that C/EBPa acts as a molecular switch between fetal and adult states of HSC in part via transcriptional repression of the proto-oncogene N-Myc. HSCs of Pu.1 knock-in (PU.1ki/ki) mice were used for RNA extraction and hybridization on Affymetrix microarrays. We compared these microarray samples with the corresponding wild type.
2012-11-14 | E-GEOD-42234 | biostudies-arrayexpress
Project description:Endogenous bioelectric signaling via changes in cellular resting potential (Vmem) is a key regulator of patterning during regeneration and embryogenesis in numerous model systems. Depolarization of Vmem has been functionally implicated in de-differentiation, tumorigenesis, anatomical re-specification, and appendage regeneration. However, no unbiased analyses have been performed to understand genome-wide transcriptional responses to Vmem change in vivo. Moreover, it is unknown which genes or gene networks represent conserved targets of bioelectrical signaling across different patterning contexts and species. Here, we use microarray analysis to comparatively analyze transcriptional responses to specific Vmem depolarization. We compare the response of the transcriptome during embryogenesis (Xenopus development), regeneration (Axolotl regeneration), and stem cell differentiation (human mesenchymal stem cells in culture) to identify common networks across model species that are associated with depolarization. Both sub-network enrichment and PANTHER analyses identified a number of key genetic modules as targets of Vmem change, and also revealed important (well-conserved) commonalities in bioelectric signal transduction, despite highly diverse experimental contexts and species. Depolarization regulates specific transcriptional networks across all three germ layers (ectoderm, mesoderm and endoderm) such as cell differentiation and apoptosis, and this information will be used for developing mechanistic models of bioelectric regulation of patterning. Moreover, our analysis reveals that Vmem change regulates transcripts related to important disease pathways such as cancer and neurodegeneration, which may represent novel targets for emerging electroceutical therapies. Xenopus laevis embryos were fertilized in vitro according to standard protocols (Sive 2000) in 0.1X Marcâs Modified Ringerâs (MMR; 10mM Na+, 0.2mM K+,10.5mM Cl, 0.2 mM Ca2+, pH 7.8). Intracellular ion concentrations in Xenopus embryo are: 21mM Na+, 90mM K+, 60mM Cl-, 0.5mM Ca2+ (Gillespie 1983). Xenopus embryos were housed at 14-18oC and staged according to Nieuwkoop and Faber (Nieuwkoop 1967). All experiments were approved by the Tufts University Animal Research Committee (M2014-79) in accordance with the guide for care and use of laboratory animals. Capped synthetic mRNAs generated using mMessage mMachine kit (Ambion) were dissolved in nuclease free water and injected into the embryos in 3% Ficoll using standard methods (Sive 2000). Each injection delivered between 1-2 nL or 1â 2 ng of mRNA (per blastomere) into the embryos, usually at 4-cell stage into the middle of the cell in the animal pole. Constructs used were: GlyR (Davies et al. 2003) and 666 chimera (Hough et al. 2000).
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2015-05-21 | E-GEOD-64052 | biostudies-arrayexpress
Project description:In order to address the progression, metastasis, and clinical heterogeneity of renal cell cancer (RCC), transcriptional profiling with oligonucleotide microarrays (22,283 genes) was done on 49 RCC tumors, 20 non-RCC renal tumors, and 23 normal kidney samples. Samples were clustered based on gene expression profiles and specific gene sets for each renal tumor type were identified. Gene expression was correlated to disease progression and a metastasis gene signature was derived. Gene signatures were identified for each tumor type with 100% accuracy. Differentially expressed genes during early tumor formation and tumor progression to metastatic RCC were found. Subsets of these genes code for secreted proteins and membrane receptors and are both potential therapeutic or diagnostic targets. A gene pattern ("metastatic signature") derived from primary tumors was very accurate in classifying tumors with and without metastases at the time of surgery. A previously described "global" metastatic signature derived by another group from various non-RCC tumors was validated in RCC. Unlike previous studies, we describe highly accurate and externally validated gene signatures for RCC subtypes and other renal tumors. Interestingly, the gene expression of primary tumors provides us information about the metastatic status in the respective patients and has the potential, if prospectively validated, to enrich the armamentarium of diagnostic tests in RCC. We validated in RCC, for the first time, a previously described metastatic signature and further showed the feasibility of applying a gene signature across different microarray platforms. Transcriptional profiling allows a better appreciation of the molecular and clinical heterogeneity in RCC. We used the following tissue samples to obtain transcriptional profiling of kidney tumors using Affymetrix HGU-133A chips: 23 Normal, 32 clear cell RCC (cRCC), 11 papillary RCC (pRCC), 6 chromophobe RCC (chrRCC), 12 Oncocytoma (OC), and 8 transitional cell carcinoma (TCC). The supplementary file 'GSE15641_mas5_data.txt' contains MAS5 signal values for the Samples included in Series GSE15641. This dataset is part of the TransQST collection.
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