Developmental origins define epigenomic differences between subcutaneous and visceral adipocytes [Bisulfite-Seq]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE111445 | GEO | 2019/07/03
REPOSITORIES: GEO
Similar Datasets
Project description:To understand the molecular differences between adipocytes and their contribution to cell-type specific function, we comprehensively characterised the transcriptomes and DNA methylomes using WGBS of isolated adipocytes from the SAT and VAT from normal weight individuals
2019-07-03 | GSE110915 | GEO
Project description:To understand the molecular differences between adipocytes and their contribution to cell-type specific function, we comprehensively characterised the transcriptomes and DNA methylomes using WGBS of isolated adipocytes from the SAT and VAT from normal weight individuals
2019-07-03 | GSE110724 | GEO
Project description:To understand the molecular differences between adipocytes and their contribution to cell-type specific function, we comprehensively characterised the transcriptomes and DNA methylomes using WGBS of isolated adipocytes from the SAT and VAT from normal weight individuals
2019-07-03 | GSE110820 | 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:Subcutaneous adipose tissue (SAT) is classically viewed as a metabolic buffer for lipid deposition during positive caloric balance, while visceral adipose tissue (VAT) is viewed as the dominant contributor and prime mediator of insulin resistance (IR) and cardiometabolic disease risk. Nevertheless, a growing body of data suggests that similar morphologic and molecular changes may occur in SAT as in VAT during obesity. In addition, while pro-inflammatory immune changes within adipose are thought to drive IR there is increasing data implicating a role for adipocytes and stromal populations especially in humans. Here, we identified a transcriptional landscape of IR in SAT of 220 humans across the spectrum of obesity and IR states, highlighting a broad range of metabolic pathways central to IR. Using single cell and nucleus deconvolution and statistical learning techniques, we identified a 35-gene signature that (1) achieved high predictive accuracy for homeostatic model of IR (HOMA-IR) across BMI; (2) was expressed across a variety of non-immune cell populations (most prominently adipocytes and adipocyte stem and precursor cells [ASPCs]), with primarily “protective” IR associations for adipocyte transcripts and “deleterious” associations for macrophage transcripts; (3) displayed a high concordance between SAT and VAT (greater than non-IR associated genes). Multiple SAT genes exhibited dynamic expression 5-years after weight loss surgery and with insulin stimulation. Finally, using available expression quantitative trait loci in SAT and/or VAT, we demonstrate similar genetic effect sizes of SAT and VAT on type 2 diabetes and BMI, suggesting underlying similarities in genetic determinants of IR between adipose depots. These results implicate a dynamic transcriptional architecture of IR that resides in both immune and non-immune populations in SAT and that is shared with VAT, nuancing the current VAT-centric concept of IR in humans.
2024-10-19 | GSE245948 | GEO
Project description:Using RNA isolated from subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) samples obtained from control and class I, II and III obese patients undergoing inguinal hernia repair and laparoscopic cholecystectomy, we compared the gene expression profiles between SAT and VAT using microarrays and validated the findings by real-time quantitative PCR. Two-condition experiment, SAT vs. VAT tissue. Biological replicates: 8 SAT replicates, 8 VAT replicates.
2016-07-20 | E-GEOD-84599 | biostudies-arrayexpress
Project description:Adipose tissue is a primary regulator of energy balance and metabolism. The distribution of adipose tissue depots is of clinical interest because the accumulation of upper-body subcutaneous (ASAT) and visceral adipose tissue (VAT) is associated with cardiometabolic diseases, whereas lower-body gluteal-femoral adipose tissue (GFAT) appears to be protective. There is heterogeneity in the morphological and metabolic traits of adipocytes obtained from different regions of the body, but detailed knowledge of the constituent proteins in each depot is lacking. Here, we determined the human adipocyte proteome from ASAT, VAT and GFAT using high-resolution SWATH mass spectrometry proteomics.
2021-04-19 | PXD018314 | Pride
Project description:Cardiometabolic diseases are common in persons with HIV (PWH) on antiretroviral therapy (ART), which has been attributed to preferential lipid storage in visceral adipose tissue (VAT) compared with subcutaneous adipose tissue (SAT). However, the relationship of SAT-specific cellular and molecular programs with VAT volume is poorly understood in PWH. We characterized SAT cell-type specific composition and transcriptional programs that are associated with greater VAT volume in PWH on contemporary ART. We enrolled PWH on long-term ART with a spectrum of metabolic health.We enrolled PWH on long-term ART with a spectrum of metabolic health. Ninety-two participants underwent SAT biopsy for bulk RNA sequencing and 43 had single-cell RNA sequencing. Computed tomography quantified VAT volume and insulin resistance was calculated using HOMA2-IR. VAT volume was associated with HOMA2-IR (p<0.001). Higher proportions of SAT intermediate macrophages (IMs), myofibroblasts, and MYOC+ fibroblasts were associated with greater VAT volume using partial Spearman’s correlation adjusting for age, sex, and body mass index (r =0.34-0.49, p<0.05 for all). Whole SAT transcriptomics showed PWH with greater VAT volume have increased expression of extracellular matrix (ECM)- and inflammation-associated genes, and reduced expression of lipolysis- and fatty acid metabolism-associated genes. In PWH, greater VAT volume is associated with higher proportion of SAT IMs and fibroblasts, and a SAT ECM and inflammatory transcriptome, which is similar to findings in HIV-negative persons with obesity. These data identify SAT cell-type specific changes associated with VAT volume in PWH that could underlie the high rates of cardiometabolic diseases in PWH, though additional longitudinal studies are needed to define directionality and mechanisms.
2024-05-22 | GSE243957 | GEO
Project description:Using RNA isolated from subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) samples obtained from control and class I, II and III obese patients undergoing inguinal hernia repair and laparoscopic cholecystectomy, we compared the gene expression profiles between SAT and VAT using microarrays and validated the findings by real-time quantitative PCR.
2016-07-20 | GSE84599 | GEO
Project description:About 20% of youth are obese with higher risk for cardiovascular disease and type 2 diabetes (T2D). We have recently reported that in obese adolescents altered pattern of fat distribution is associated with insulin resistance and T2D. In particular, the high ratio of visceral AT depot (VAT) to abdominal subcutaneous AT depot (SAT) (high VAT/(VAT+SAT)) was associated with a metabolically unhealthy phenotype with high risk for insulin resistance and T2D. CIDEA (Cell death inducing DNA fragmentation factor-alpha-like A) is a member of CIDE family and it is not only involved in the promotion of cell death and DNA fragmentation but it also plays critical roles in the lipid droplets formation and growth. Here we demonstrated in abdominal SAT from adolescent obese girls with high VAT/(VAT+SAT) a significant reduction of CIDEA expression associated with an increase in fasting insulin, serum FFA and consequent insulin resistance. We also demonstrated a direct correlation between CIDEA expression and fraction of large cells and an inverse correlation with small adipocytes number and pre-adipocytes proliferation. After gaining weight, we observed an increase in adipocytes cell diameter but a decrease in CIDEA expression, and the transcriptomic analysis showed a gene profile linked to adipocyte dysfunction. Together, these data suggested that in subjects with high VAT/(VAT+SAT) decreased CIDEA expression is associated with an increase in adipocyte cell sizing and consecutive insulin resistance.
2021-12-01 | GSE159955 | GEO