E-GEOD-65859
Ontology highlight
ABSTRACT:
PROVIDER: E-GEOD-65859 | ExpressionAtlas | 2016-04-22
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-GEOD-65859-analysis-methods.tsv | Tabular | |||
| E-GEOD-65859-atlasExperimentSummary.Rdata | Rdata | |||
| E-GEOD-65859-configuration.xml | Xml | |||
| E-GEOD-65859-percentile-ranks.tsv | Tabular | |||
| E-GEOD-65859.condensed-sdrf.tsv | Tabular |
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Project description:Differentially regulated genes in adipocytes derived from Men1-null vs WT mouse embryonic stem cells
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Project description:MEN1 is a tumor suppressor gene loss of which causes lipoma (fatty tumors under the skin) and many other endocrine and non-endocrine tumors. It's target genes in fat cells (adipocytes) are unknown. Gene expression in adipocytes that were in vitro differentiated from mouse embryonic stem cells (mESCs) of Men1-nul l(Men1-KO) and WT mice were compared to assess the expression of genes upon menin loss in adipocytes that could lead to the deveopment of lipoma. mESCs (Men1-null and WT) were in vitro differentaited into adipocytes. Positive oil red O staining indicated successful differentiation into adipocytes. The cells were processed for RNA isolation. RNA preps were used for microarray analysis.
2016-02-03 | E-GEOD-65859 | biostudies-arrayexpress
Project description:To explore the molecular mechanisms of obesity and insulin resistance in the patients with polycystic ovary syndrome (PCOS) at the level of human embryonic stem cells (hESCs).Three PCOS-derived and one non-PCOS-derived hESC lines were induced into adipocytes, and then total mRNA was extracted from these adipocytes. The differential genes between PCOS-derived and non-PCOS-derived adipocytes were identified with GeneChip, and then were validated with real-time PCR.There were 153 differential genes. Of the 153 genes, 91 genes were up-regulated and 62 down-regulated. Nuclear receptor subfamily 0, group B, member 2 (NR0B2) was an up-regulated gene, and GeneChip software system indicated that it was associated with obesity and diabetes. Three PCOS-derived and one non-PCOS-derived hESC lines were induced into adipocytes, and then total mRNA was extracted from these adipocytes. The differential genes between PCOS-derived and non-PCOS-derived adipocytes were identified with GeneChip, and then were validated with real-time PCR.
2013-11-22 | E-GEOD-52422 | biostudies-arrayexpress
Project description:To explore the molecular mechanisms of obesity and insulin resistance in the patients with polycystic ovary syndrome (PCOS) at the level of human embryonic stem cells (hESCs).Three PCOS-derived and one non-PCOS-derived hESC lines were induced into adipocytes, and then total mRNA was extracted from these adipocytes. The differential genes between PCOS-derived and non-PCOS-derived adipocytes were identified with GeneChip, and then were validated with real-time PCR.There were 153 differential genes. Of the 153 genes, 91 genes were up-regulated and 62 down-regulated. Nuclear receptor subfamily 0, group B, member 2 (NR0B2) was an up-regulated gene, and GeneChip software system indicated that it was associated with obesity and diabetes.
2013-11-22 | GSE52422 | GEO
Project description:We performed a genome-wide deep sequencing analysis of the microRNAs abundant in mesenchymal stem cells (MSCs) derived from murine brown adipose tissue and in in vitro differentiated mature brown adipocytes. Several microRNAs were identified as differentially regulated when comparing datasets from MSCs vs. mature fat cells. These microRNAs may have an implication in the regulation of adipogenesis as well as thermogenesis in brown adipose tissue (BAT).
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Project description:Chavez2009 - a core regulatory network of OCT4 in human embryonic stem cells
A core OCT4-regulated network has been identified as a test case, to analyase stem cell characteristics and cellular differentiation.
This model is described in the article:
In silico identification of a core regulatory network of OCT4 in human embryonic stem cells using an integrated approach.
Chavez L, Bais AS, Vingron M, Lehrach H, Adjaye J, Herwig R
BMC Genomics, 2009, 10:314
Abstract:
BACKGROUND: The transcription factor OCT4 is highly expressed in pluripotent embryonic stem cells which are derived from the inner cell mass of mammalian blastocysts. Pluripotency and self renewal are controlled by a transcription regulatory network governed by the transcription factors OCT4, SOX2 and NANOG. Recent studies on reprogramming somatic cells to induced pluripotent stem cells highlight OCT4 as a key regulator of pluripotency.
RESULTS: We have carried out an integrated analysis of high-throughput data (ChIP-on-chip and RNAi experiments along with promoter sequence analysis of putative target genes) and identified a core OCT4 regulatory network in human embryonic stem cells consisting of 33 target genes. Enrichment analysis with these target genes revealed that this integrative analysis increases the functional information content by factors of 1.3 - 4.7 compared to the individual studies. In order to identify potential regulatory co-factors of OCT4, we performed a de novo motif analysis. In addition to known validated OCT4 motifs we obtained binding sites similar to motifs recognized by further regulators of pluripotency and development; e.g. the heterodimer of the transcription factors C-MYC and MAX, a prerequisite for C-MYC transcriptional activity that leads to cell growth and proliferation.
CONCLUSION: Our analysis shows how heterogeneous functional information can be integrated in order to reconstruct gene regulatory networks. As a test case we identified a core OCT4-regulated network that is important for the analysis of stem cell characteristics and cellular differentiation. Functional information is largely enriched using different experimental results. The de novo motif discovery identified well-known regulators closely connected to the OCT4 network as well as potential new regulators of pluripotency and differentiation. These results provide the basis for further targeted functional studies.
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by: MODEL1305010000
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2005-01-01 | MODEL1305010000 | BioModels
Project description:Bright null mouse embryonic stem cells and spontaneously reprogrammed Bright null cells compared to WT mouse embryonic stem cells;Work further described in Popowski et. al 2013 Bright null mouse embryonic stem cells and wildtype mouse embryonic stem cells differentiated in embryoid bodies at day 6 and day 15
2013-11-25 | GSE52692 | GEO
Project description:The objective was to study the transcriptional profiles of fum null mutants vs the WT strain via RNA-seq, in order to find differentially expressed genes (DEGs, up or down regulated) in the WT strain in response to MMS treatment (0.35% [v/v],30 min), and more importantly in response to MMS+α-KG (0.35% [v/v], 30 min +25mM α-KG when indicated), compared to the mutant strains.
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Project description:Robust identification of placental PPARg target genes via mutliple PPARg-dependence criteria. Integration of differential expression data from Pparg-null, Rxra-null, Med1-nul and Ncoa6-null placentas and from WT and Pparg-null Trophoblast stem cells (TSC) differentiated for 2 or 4 days in the presence or absence of the PPARg agonist Rosiglitazone (Rosi). [Placentas] Three pools of three WT placentas, each vs a litter-matched pool of three Pparg-null placentas Three pools of three WT placentas, each vs a litter-matched pool of three Rxra-null placentas Three pools of three WT placentas, each vs a litter-matched pool of three Med1-null placentas Three pools of three WT placentas, each vs a litter-matched pool of three Ncoa6-null placentas [Trophoblast stem cells (TSC)] Three independent WT TSC lines differentiated for two and four days in the presence or absence of Rosi vs two independent Pparg-null TSC lines differntiated for the same durations in the presence of Rosi
2012-07-09 | E-GEOD-39233 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) are a large family of 19-22nt non-coding RNAs that post-transcriptionally regulate their mRNA targets. Computational algorithms predict that over half of all genes are regulated by miRNAs, yet approaches for experimental identification of miRNA binding sites are now emerging. To directly identify endogenous miRNA binding sites, we performed photo-crosslinking immunoprecipitation using antibodies against Ago2, followed by deep-sequencing of RNA tags (CLIP-seq) in mouse embryonic stem cells (mESCs). We also performed parallel CLIP-seq in Dicer null mESCs that lack mature miRNAs, allowing us to define whether the association of Ago2 with the identified sites was mediated by miRNAs. We include the exon-array expression data obtained from three sets of Dicer WT and Dicer Null mESCs.These data are used to determine genes that are differentially expressed between Dicer WT and Dicer Null conditions.
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