Similar Datasets
Project description:Single-cell sequencing unveils a novel cluster of mesenchymal cells in the rat subcutaneous fascia
| PRJNA1087299 | ENA
Project description:To identify genes differentially expressed in abdominal and gluteal adipose tissue, we determined the mRNA transcription profile of 10 abdominal and 10 gluteal female adipose tissue sections using Agilent Whole Human Genome Microarrays. RNA of 10 subcutaneous abdominal and 10 subcutaneous gluteal fat depot samples was processed by Miltenyi Biotech GmbH (Bergisch Gladbach, Germany) and loaded on single-color Whole Human Genome 4x44K microarrays (G4112F) from Agilent Technologies.
2013-11-15 | E-GEOD-47511 | biostudies-arrayexpress
Project description:Previous publications demonstrated that there were anatomical, physiological, cellular, clinical and prognostic differences among adipose tissue present in subcutaneous areas, abdominal cavity and outside adventitial layer of artery. Thus, we wondered whether ASCs from subcutaneous adipose tissue, abdominal adipose tissue and perivascular adipose tissue were also different in gene expression. Here we performed bulk RNA-Seq assay for subcutaneous, abdominal and perivascular adipose derived stem cells.
2021-04-13 | GSE171946 | GEO
Project description:Lean polycystic ovary syndrome (PCOS) women have a greater proportion of android (abdominal) fat, increased numbers of small subcutaneous (SC) abdominal adipocytes and preferential intra-abdominal fat accumulation. This study examines whether abnormal gene expression of SC abdominal adipose stem cells (ASCs) from lean PCOS women underlies this altered abdominal adipose structure-function. In this dataset, we include the expression data obtained from PCOS and NL subcutaneous adipose tissue. Differential expression of at least 1.5-fold change (P<0.05) were obtained in 120 genes (48 upregulated, 72 downregulated) of SC abdominal ASCs from PCOS versus NL women
2017-05-03 | GSE98421 | GEO
Project description:Bulk RNAseq data from abdominal subcutaneous sampling of a racially diverse sample of healthy premenopausal women and men with a range of BMI.
2025-04-09 | GSE287627 | GEO
Project description:Adipose tissue (AT) distribution is an important determinant of cardiometabolic health. Increased visceral adiposity has been associated with a higher risk of obesity-related diseases. An important step in deciphering the molecular complexity of subcutaneous AT (SAT) and visceral AT (VAT) is to elucidate the molecular composition of the principal AT cell type, adipocytes. We present a comprehensive protein expression profile of abdominal subcutaneous (SA) and omental visceral adipocytes (VA). We isolated adipocytes from paired AT biopsies obtained during bariatric surgery of 19 morbidly obese women (BMI > 30 kg/m2) and performed state-of-the-art mass spectrometry to investigate their proteome profiles. We identified 3,686 proteins groups and found 1,140 differentially expressed proteins (adj. p-value < 0.05), of which 576 proteins were upregulated in SA and 564 in VA samples. In addition to providing a global protein profile of abdominal SA and omental VA, we also present the most differentially expressed pathways and processes distinguishing SA from VA. We show that SA are significantly more active in processes linked to vesicular transport and secretion, and also to increased lipid metabolism activity. Conversely, the expression of proteins involved in the mitochondrial energy metabolism and translational or biosynthetic activity is higher in VA. We also performed prediction analyses of differentially expressed putative secreted proteins, which revealed a significantly higher number of potentially secreted proteins in SA compared to VA. Our analysis represents a valuable resource of protein expression profiles in abdominal SA and omental VA, highlighting key differences in their role in obesity. Additionally, we predict possible protein targets among secreted proteins, which may be utilized for the further investigation of the role of different AT depots in obesity using peripheral blood.
2021-11-04 | PXD024734 | Pride
Project description:scRNA-seq from abdominal and gluteofemoral subcutaneous adipose tissue derived stem cells (ADSC)
| PRJNA861830 | ENA
Project description:Human Subcutaneous abdominal adipose tissue RNAseq - NYC sample
| PRJNA1213843 | ENA
Project description:In humans, adipose tissue is distributed in subcutaneous abdominal and subcutaneous gluteal depots that comprise a variety of functional differences. Whereas energy storage in gluteal adipose tissue has been shown to mediate a protective effect, an increase of abdominal adipose tissue is associated with metabolic disorders. However, the molecular basis of depot-specific characteristics is not completely understood yet. Using array-based analyses of transcription profiles, we identified a specific set of genes that was differentially expressed between subcutaneous abdominal and gluteal adipose tissue. To investigate the role of epigenetic regulation in depot-specific gene expression, we additionally analyzed genome-wide DNA methylation patterns in abdominal and gluteal depots. By combining both data sets, we identified a highly significant set of depot-specifically expressed genes that appear to be epigenetically regulated. Interestingly, the majority of these genes form part of the homeobox gene family. Moreover, genes involved in fatty acid metabolism were also differentially expressed. Therefore we suppose that changes in gene expression profiles might account for depot-specific differences in lipid composition. Indeed, triglycerides and fatty acids of abdominal adipose tissue were more saturated compared to triglycerides and fatty acids in gluteal adipose tissue. Taken together, our results uncover clear differences between abdominal and gluteal adipose tissue on the gene expression and DNA methylation level as well as in fatty acid composition. Therefore, a detailed molecular characterization of adipose tissue depots will be essential to develop new treatment strategies for metabolic syndrome associated complications.
2013-11-15 | GSE47512 | GEO
Project description:In humans, adipose tissue is distributed in subcutaneous abdominal and subcutaneous gluteal depots that comprise a variety of functional differences. Whereas energy storage in gluteal adipose tissue has been shown to mediate a protective effect, an increase of abdominal adipose tissue is associated with metabolic disorders. However, the molecular basis of depot-specific characteristics is not completely understood yet. Using array-based analyses of transcription profiles, we identified a specific set of genes that was differentially expressed between subcutaneous abdominal and gluteal adipose tissue. To investigate the role of epigenetic regulation in depot-specific gene expression, we additionally analyzed genome-wide DNA methylation patterns in abdominal and gluteal depots. By combining both data sets, we identified a highly significant set of depot-specifically expressed genes that appear to be epigenetically regulated. Interestingly, the majority of these genes form part of the homeobox gene family. Moreover, genes involved in fatty acid metabolism were also differentially expressed. Therefore we suppose that changes in gene expression profiles might account for depot-specific differences in lipid composition. Indeed, triglycerides and fatty acids of abdominal adipose tissue were more saturated compared to triglycerides and fatty acids in gluteal adipose tissue. Taken together, our results uncover clear differences between abdominal and gluteal adipose tissue on the gene expression and DNA methylation level as well as in fatty acid composition. Therefore, a detailed molecular characterization of adipose tissue depots will be essential to develop new treatment strategies for metabolic syndrome associated complications. DNA methylation profiles of abdominal adipose tissue (6 samples) and gluteal adipose tissue (6 samples) were generated using Infinium methylation 450K BeadChips from Illumina (Illumina, San Diego, USA).
2013-11-15 | E-GEOD-47512 | biostudies-arrayexpress