Synergism between PPARα and glucocorticoid receptor signaling promotes self-renewal of BFU-E erythroid progenitors and increases red cell production [RNA-seq]
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE63836 | GEO | 2015/06/08
SECONDARY ACCESSION(S): PRJNA269186
REPOSITORIES: GEO
Similar Datasets
Project description:Analyses of gene expression by RNA-Seq in mouse E14.5 fetal liver burst-forming unit erythroid (BFU-E) cells untreated or treated by dexamethasone (DEX) with or without PPAR? agonist GW7647. RNA-Seq was performed on enriched populations of mouse BFU-E isolated from E14.5 fetal liver, as well as BFU-E enriched cells treated with Dex ± GW7647.
2015-06-08 | E-GEOD-63836 | biostudies-arrayexpress
Project description:ChIP-Seq analyses of GR and PPARa occupancy in mouse E14.5 fetal liver BFU-E cells untreated or treated by DEX with or without GW7647 ChIP-Seq on GR and PPAR alpha in purified 10^7 mouse BFU-E cells purified from E14.5 fetal livers with or without treatment of Dexamethasone and/or GW7647
2015-06-08 | E-GEOD-62788 | biostudies-arrayexpress
Project description:ChIP-Seq analyses of GR and PPARa occupancy in mouse E14.5 fetal liver BFU-E cells untreated or treated by DEX with or without GW7647
2015-06-08 | GSE62788 | GEO
Project description:The transcription factor Peroxisome Proliferator-Activated Receptor α (PPARα) is an important regulator of hepatic lipid metabolism. While PPARα is known to activate transcription of numerous genes, no comprehensive picture of PPARα binding to endogenous genes has yet been reported. To fill this gap, we performed ChIP-chip in combination with transcriptional profiling on HepG2 human hepatoma cells treated with the PPARα agonist GW7647. We found that GW7647 increased PPARα binding to 4220 binding regions. GW7647-induced binding regions showed a bias around the transcription start site and most contained a predicted PPAR binding motif. Several genes known to be regulated by PPARα, such as ACOX1, SULT2A1, ACADL, CD36, IGFBP1 and G0S2, showed GW7647-induced PPARα binding to their promoter. A GW7647-induced PPARα-binding region was also assigned to SREBP-targets HMGCS1, HMGCR, FDFT1, SC4MOL, and LPIN1, expression of which was induced by GW7647, suggesting cross-talk between PPARα and SREBP signaling. Our data furthermore demonstrate interaction between PPARα and STAT transcription factors in PPARα-mediated transcriptional repression, and suggest interaction between PPARα and TBP and C/EBPα in PPARα-mediated transcriptional activation. Overall, our analysis leads to important new insights into the mechanisms and impact of transcriptional regulation by PPARα in human liver and highlight the importance of cross-talk with other transcription factors.
2010-11-23 | GSE25547 | GEO
Project description:Nuclear receptor activation in liver leads to coordinated alteration of the expression of multiple gene products with attendant phenotypic changes of hepatocytes. Peroxisome proliferators including endogenous fatty acids, environmental chemicals, and drugs induce a multi-enzyme metabolic response that affects lipid and fatty acid processing. We studied the signaling network for the peroxisome proliferator-associated receptor alpha (PPARα) in primary human hepatocytes using the selective PPARα ligand, GW7647. We measured gene expression over multiple concentrations and times and conducted ChIP-seq studies at 2 and 24 hours to assess genomic binding of PPARα. Over all treatments there were 192 genes differentially expressed. Of these only 51% showed evidence of PPARα binding – either directly at PPARα response elements or via alternative mechanisms. Almost half of regulated genes had no PPARα binding. We then developed two novel bioinformatics methods to visualize the dose-dependent activation of both the transcription factor circuitry for PPARα and the downstream metabolic network in relation to functional annotation categories. Available databases identified several key transcription factors involved with the non-genomic targets after GW7647 treatment, including SP1, STAT1, ETS1, ERα, and HNF4α. The linkage from PPARα binding through gene expression likely requires intermediate protein kinases to activate these transcription factors. We found enrichment of functional annotation categories for organic acid metabolism and cell lipid metabolism among the differentially expressed genes. Lipid transport processes showed enrichment at the highest concentration of GW7647 (10μM). While our strategy for mapping transcriptional networks is evolving, these approaches are necessary in moving from toxicogenomic methods that derive signatures of activity to methods that establish pathway structure, showing the coordination of the activated nuclear receptor with other signaling pathways. Primary hepatocytes from four donors were exposed to 0, 0.001, 0.01, 0.1, 1.0, or 10.0μM GW7647 for 2, 6, 12, 24, or 72 hours.
2013-12-18 | E-GEOD-53399 | biostudies-arrayexpress
Project description:Synergism between PPARα and glucocorticoid receptor signaling promotes self-renewal of BFU-E erythroid progenitors and increases red cell production
| PRJNA269185 | ENA
Project description:Erythroid progenitor BFU-Es are so-named based on their ability to generate in methylcellulose culture large colonies of erythroid cells that consist of “bursts” of smaller erythroid colonies derived from the later CFU-E Epo- dependent progenitors. “Early” BFU-E cells forming large BFU-E colonies presumably have higher capacities for self-renewal than do those forming small BFU-E colonies. In order to understand the mechanism underlying this heterogeneity, we conducted single cell transcriptome analysis on BFU-E cells purified from mouse embryos. Our analyses showed that there are two principal subgroups of mouse BFU-E cells and that the type III TGFβ receptor (TβRIII) is a potential marker that distinguishes “early” and “late” BFU-Es. Expression of TβRIII is correlated with that of GATA1, a gene encoding an erythroid transcription factor induced during the BFU-E to CFU-E transition. The mouse and human BFU-E sub populations (TßRIII10%lo) expressing the 10% lowest amount of surface TβRIII are indeed enriched for early BFU-Es, and are significantly more responsive to glucocorticoid stimulation, which promotes BFU-E self-renewal, as compared to the total BFU-E population. The TßRIII10%lo BFU-E subpopulation presumably represents earlier BFU-Es with maximal capacity for self-renewal. Consistent with this notion, signaling by the TGFβ receptor kinases RI and RII increases during the transition from early (TßRIII10%lo) to late (TßRIII10%hi) BFU-Es and then decreases in CFU-E cells. Blocking TGF-β signaling by receptor kinase inhibitors increase TßRIII10%lo BFU-E cell self-renewal and increases total erythroblast production, suggesting the use of this type of drug in treating Epo unresponsive anemias.
2017-01-06 | GSE81505 | GEO
Project description:Nuclear receptor activation in liver leads to coordinated alteration of the expression of multiple gene products with attendant phenotypic changes of hepatocytes. Peroxisome proliferators including endogenous fatty acids, environmental chemicals, and drugs induce a multi-enzyme metabolic response that affects lipid and fatty acid processing. We studied the signaling network for the peroxisome proliferator-associated receptor alpha (PPARα) in primary human hepatocytes using the selective PPARα ligand, GW7647. We measured gene expression over multiple concentrations and times and conducted ChIP-seq studies at 2 and 24 hours to assess genomic binding of PPARα. Over all treatments there were 192 genes differentially expressed. Of these only 51% showed evidence of PPARα binding – either directly at PPARα response elements or via alternative mechanisms. Almost half of regulated genes had no PPARα binding. We then developed two novel bioinformatics methods to visualize the dose-dependent activation of both the transcription factor circuitry for PPARα and the downstream metabolic network in relation to functional annotation categories. Available databases identified several key transcription factors involved with the non-genomic targets after GW7647 treatment, including SP1, STAT1, ETS1, ERα, and HNF4α. The linkage from PPARα binding through gene expression likely requires intermediate protein kinases to activate these transcription factors. We found enrichment of functional annotation categories for organic acid metabolism and cell lipid metabolism among the differentially expressed genes. Lipid transport processes showed enrichment at the highest concentration of GW7647 (10μM). While our strategy for mapping transcriptional networks is evolving, these approaches are necessary in moving from toxicogenomic methods that derive signatures of activity to methods that establish pathway structure, showing the coordination of the activated nuclear receptor with other signaling pathways.
2013-12-18 | GSE53399 | GEO
Project description:With the aim of finding small molecules that stimulate erythropoiesis earlier than erythropoietin and that enhance CFU-E production, we studied the mechanism by which glucocorticoids increase CFU-E formation. Using BFU-E and CFU-E progenitors purified by a new technique, we demonstrate that glucocorticoids stimulate the earliest (BFU-E) progenitors to undergo limited self-renewal, which increases formation of CFU-E cells > 20-fold. Interestingly, glucocorticoids induce expression of genes in BFU-E cells that contain promoter regions highly enriched for hypoxia-induced factor 1 alpha (HIF1a) binding sites. This suggests activation of HIF1a may enhance or replace the effect of glucocorticoids on BFU-E self-renewal. Indeed, HIF1a activation by a prolyl hydroxylase inhibitor (PHI) synergizes with glucocorticoids and enhances production of CFU-Es 170-fold. Since PHIs are able to increase erythroblast production at very low concentrations of glucocorticoids, PHI-induced stimulation of BFU-E progenitors thus represents a conceptually new therapeutic window for treating Epo-resistant anemia. RNA-Seq was performed on enriched populations of BFU-E, CFU-E and Ter119+ as well as BFU-E enriched cells treated with Dex and DMOG
2010-12-21 | E-GEOD-26086 | biostudies-arrayexpress
Project description:Burst-forming unit-erythroid (BFU-E) and colony-forming unit-erythroid (CFU-E) cells are erythroid progenitors traditionally defined by colony assays. We developed a flow cytometry-based strategy for isolating human BFU-E and CFU-E cells based on the changes in expression of cell surface markers during in vitro erythroid cell culture. BFU-E and CFU-E are characterized by CD45+GPA-IL-3R-CD34+CD36-CD71low and CD45+GPA-IL-3R-CD34-CD36+CD71high phenotypes, respectively. Colony assays validated phenotypic assignment giving rise to BFU-E and CFU-E colonies, both at a purity ~90%. The BFU-E colony forming ability of CD45+GPA-IL-3R-CD34+CD36-CD71low cells required SCF and erythropoietin, while the CFU-E colony forming ability of CD45+GPA-IL-3R-CD34-CD36+CD71high cells required only erythropoietin. Bioinformatic analysis of the RNA-seq data revealed unique transcriptomes in each differentiation stage. The sorting strategy was validated in uncultured primary cells isolated from bone marrow and peripheral blood, indicating that marker expression is not an artifact of in vitro cell culture, but represents an in vivo characteristic of erythroid progenitor populations. The ability to isolate highly pure human BFU-E and CFU-E progenitors will enable detailed cellular and molecular characterization of these distinct progenitor populations and define their contribution to disordered erythropoiesis in inherited and acquired hematological disease. Our data provide important resource for future studies. Transcription profiles of Human erythroid progenitors at distinct developmental stages were generated by deep sequencing, in triplicate, using IlluminaHiSeq 2000. The complete dataset comprises 4 sample types: CD34, BFU, CFU, and Pro (reanalysis of GSM1304777-GSM1304779).
2014-10-30 | E-GEOD-61566 | biostudies-arrayexpress