Loss of endothelial cell heterogeneity in arteries after obesogenic diet
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA984738 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR24952444_1.fastq.gz | Fastqsanger.gz | |||
| SRR24952444_2.fastq.gz | Fastqsanger.gz | |||
| SRR24952445_1.fastq.gz | Fastqsanger.gz | |||
| SRR24952445_2.fastq.gz | Fastqsanger.gz | |||
| SRR24952446_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Loss of endothelial cell heterogeneity in arteries after obesogenic diet [Bulk-seq]
| PRJNA984739 | ENA
Project description:Loss of endothelial cell heterogeneity in arteries after obesogenic diet [scRNA-seq]
| PRJNA984740 | ENA
Project description:Background: It is well recognized that obesity leads to arterial endothelial dysfunction and cardiovascular disease. However, the progression to endothelial dysfunction is not clear. Endothelial cells (ECs) adapt to the unique needs of their resident tissue and respond to systemic metabolic perturbations. We sought to better understand how obesity affects EC phenotypes in different tissues specifically focusing on mitochondrial gene expression. Methods: We performed bulk RNA sequencing (RNA-seq) and single cell RNA-seq (scRNA-seq) on mesenteric and adipose ECs isolated from normal chow (NC) and high fat diet (HFD) fed mice. Differential gene expression, gene ontology pathway, and transcription factor analyses were performed. We further investigated our hypothesis in humans using published human adipose single nuclei RNA-seq (snRNA-seq) data. Results: Bulk RNA-seq revealed higher mitochondrial gene expression in adipose ECs compared to mesenteric ECs in both NC and HFD mice. We then performed scRNA-seq and categorized EC clusters as arterial, capillary, venous, or lymphatic. HFD decreased the number of differentially expressed genes between mesenteric and adipose ECs in all subtypes, but the largest effect was seen in arterial ECs. Further analysis of arterial ECs revealed genes coding for mitochondrial oxidative phosphorylation proteins were enriched in adipose compared to mesentery under NC conditions. In HFD mice, these genes were decreased in adipose ECs becoming similar to mesenteric ECs. Transcription factor analysis revealed C/EBP and PPAR, both known to regulate lipid handling and metabolism, had high specificity scores in the NC adipose artery ECs. These findings were recapitulated in snRNA-seq data from human adipose. Conclusions: These data suggest mesenteric and adipose arterial ECs metabolize lipids differently and the transcriptional phenotype of these two vascular beds converge in obesity, in part, due to downregulation of PPARand C/EBP in adipose artery ECs. This work lays the foundation for investigating vascular bed specific adaptations to obesity.
2023-06-26 | GSE235191 | GEO
Project description:Background: It is well recognized that obesity leads to arterial endothelial dysfunction and cardiovascular disease. However, the progression to endothelial dysfunction is not clear. Endothelial cells (ECs) adapt to the unique needs of their resident tissue and respond to systemic metabolic perturbations. We sought to better understand how obesity affects EC phenotypes in different tissues specifically focusing on mitochondrial gene expression. Methods: We performed bulk RNA sequencing (RNA-seq) and single cell RNA-seq (scRNA-seq) on mesenteric and adipose ECs isolated from normal chow (NC) and high fat diet (HFD) fed mice. Differential gene expression, gene ontology pathway, and transcription factor analyses were performed. We further investigated our hypothesis in humans using published human adipose single nuclei RNA-seq (snRNA-seq) data. Results: Bulk RNA-seq revealed higher mitochondrial gene expression in adipose ECs compared to mesenteric ECs in both NC and HFD mice. We then performed scRNA-seq and categorized EC clusters as arterial, capillary, venous, or lymphatic. HFD decreased the number of differentially expressed genes between mesenteric and adipose ECs in all subtypes, but the largest effect was seen in arterial ECs. Further analysis of arterial ECs revealed genes coding for mitochondrial oxidative phosphorylation proteins were enriched in adipose compared to mesentery under NC conditions. In HFD mice, these genes were decreased in adipose ECs becoming similar to mesenteric ECs. Transcription factor analysis revealed C/EBP and PPAR, both known to regulate lipid handling and metabolism, had high specificity scores in the NC adipose artery ECs. These findings were recapitulated in snRNA-seq data from human adipose. Conclusions: These data suggest mesenteric and adipose arterial ECs metabolize lipids differently and the transcriptional phenotype of these two vascular beds converge in obesity, in part, due to downregulation of PPARand C/EBP in adipose artery ECs. This work lays the foundation for investigating vascular bed specific adaptations to obesity.
2023-06-26 | GSE235189 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2023-06-24 | GSE235192 | GEO
Project description:Phenotypic heterogeneity among arterial ECs is particularly relevant to atherosclerosis since the disease occurs predominantly in major arteries, which vary in their atherosusceptibility. To explore EC heterogeneity, we used DNA microarrays to compare gene expression profiles of freshly harvested porcine coronary and iliac artery ECs. We demonstrate that in vivo the endothelial transcriptional profile of a coronary artery (the right coronary artery) is intrinsically different from that of a major conduit vessel (the external iliac artery), and that this difference is consistent with former vessel being more prone to atherosclerosis. Keywords: coronary atherosclerosis, endothelial heterogeneity, microarray, gene expression Endothelial cells were freshly harvest from right coronary, left and right iliac arteries from four pigs. RNA were isolated and expression profiles were obtained using olig microarrays.
2010-06-20 | E-GEOD-10938 | biostudies-arrayexpress
Project description:Phenotypic heterogeneity among arterial ECs is particularly relevant to atherosclerosis since the disease occurs predominantly in major arteries, which vary in their atherosusceptibility. To explore EC heterogeneity, we used DNA microarrays to compare gene expression profiles of freshly harvested porcine coronary and iliac artery ECs. We demonstrate that in vivo the endothelial transcriptional profile of a coronary artery (the right coronary artery) is intrinsically different from that of a major conduit vessel (the external iliac artery), and that this difference is consistent with former vessel being more prone to atherosclerosis. Keywords: coronary atherosclerosis, endothelial heterogeneity, microarray, gene expression
2008-08-23 | GSE10938 | GEO
Project description:The effect of hemodynamic shear stress on endothelial gene expression was investigated in the porcine iliac arteries. Computational fluid dynamics simulations identified three anatomical regions likely to experience high, medium, and low shear stress. The expression of genes in endothelial cells recovered from these regions were assessed using microarray. Keywords: shear stress, endothelial cell gene expression, in vivo 11 iliac arteries were obtained from 6 animals, total RNA were extracted from high, medium and low shear region. The expression profiles were compared with a reference RNA using dual channel arrays. Samples with low original RNA quality and low hybridization quality were not included.
2009-03-31 | E-GEOD-10671 | biostudies-arrayexpress
Project description:The goal of this study was to gain insight into the molecular heterogeneity of capillary endothelial cells derived from different organs by microarray profiling of freshly isolated cells and identify transcription factors that may determine the specific gene expression profile of endothelial cells from different tissues. The study focused on heart endothelial cells and presents a validated signature of 31 genes that are highly enriched in heart endothelial cells. Within this signature 5 transcription factors were identified and the optimal combination of these transcription factors was determined for specification of the heart endothelial fingerprint. From three tissue types (mouse brain, heart and liver), we collected five freshly isolated endothelial cell samples each. For each brain sample we pooled RNA from 6 mice. For each heart sample we pooled RNA from 4 mice. For each liver sample we pooled RNA from 2 mice. The three endothelial subtypes were then compared. For each subtype, specific gene profiles were defined by determining the genes that were highly enriched versus the other two endothelial subtypes.
2015-02-19 | E-GEOD-48209 | biostudies-arrayexpress
Project description:In Vivo Endothelial Cell Heterogeneity
| PRJNA203650 | ENA