Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data from mock- or LMO3-silenced human preadipocytes isolated from SAT or VAT

ABSTRACT: In this study, we aimed to gain further insight on the role of glucocorticoids (GCs) in adipocyte differentiation. For the future drugability of candidate targets, it is of utmost importance to find factors relevant to human biology. Thus, we analyzed the transcriptome of GC-induced primary human adipose stem cells (hASCs) isolated from paired subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) to identify novel factors downstream of GC action. We used microarrays to detail the global program of gene expression following GC treatment and identified distinct classes of up- and down-regulated genes during this process.

ORGANISM(S): Homo sapiens

PROVIDER: GSE44626 | GEO | 2013/06/12

SECONDARY ACCESSION(S): PRJNA190676

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Expression data from mock- or LMO3-silenced human preadipocytes isolated from SAT or VAT

Project description:In this study, we aimed to gain further insight on the role of glucocorticoids (GCs) in adipocyte differentiation. For the future drugability of candidate targets, it is of utmost importance to find factors relevant to human biology. Thus, we analyzed the transcriptome of GC-induced primary human adipose stem cells (hASCs) isolated from paired subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) to identify novel factors downstream of GC action. We used microarrays to detail the global program of gene expression following GC treatment and identified distinct classes of up- and down-regulated genes during this process. Human preadipocytes (human adipose stem cells) were obtained from lipoaspirates or visceral fat biopsies by enzymatic digestions, followed by several steps of centrifugations (Mikkelsen et. al Cell. 2010 Oct 1;143(1):156-69.). Following isolation, human adipose stem cells were transfected with either siCtrl or siLMO3 oligonucleotides, followed by treatment with hydrocortisone.

2013-06-12 | E-GEOD-44626 | biostudies-arrayexpress

Subcutaneous adipose tissue and visceral adipose tissue gene expression profiles in Mexican patients with obesity

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

A long-term high fat diet induces differential gene expression changes in spatially distinct adipose tissues.

Project description:The accumulation of visceral adipose tissue (VAT) is strongly associated with cardiovascular disease and diabetes. In contrast, individuals with increased subcutaneous adipose tissue (SAT) without corresponding increases in VAT are associated with a metabolic healthy obese phenotype. These observations implicate dysfunctional VAT as a driver of disease processes, warranting investigation into obesity-induced alterations of distinct adipose depots. To determine the effects of obesity on adipose gene expression, mice were fed either a high fat or normal laboratory diet for 12-14 months. Mesenteric VAT and hindlimb SAT were isolated from four lean controls and four obese mice for bulk RNA- sequencing. AT from lean controls served as a reference to obesity-induced changes. The long-term high fat diet induced the expression of 169 and 814 unique genes in SAT and VAT, respectively. SAT from obese mice exhibited a total of 308 differentially expressed genes (164 upregulated, 144 downregulated). VAT from obese mice exhibited 690 differentially expressed genes (262 genes upregulated, 428 downregulated). KEGG pathway and GO analyses revealed that metabolic pathways were upregulated in SAT vs. downregulated in VAT while inflammatory signaling was upregulated in VAT. We next determined common genes that were differentially regulated between SAT and VAT in response to obesity and identified four genes that exhibited this profile: elovl6 and kcnj15 were upregulated in SAT/downregulated in VAT while trdn and hspb7 were downregulated in SAT/ upregulated in VAT. We propose that these genes in particular should be further pursued to determine their roles in SAT vs. VAT with obesity.

2024-06-12 | GSE269663 | GEO

scRNA-seq of stromal vascular cells from 48 week (aged) mouse subcutaneous adipose tissue compared to control 10 week (young) mouse SVF

Project description:Adipose tissue mass and adiposity change throughout the lifespan. During aging, while visceral adipose tissue (VAT) tends to increase, peripheral subcutaneous adipose tissue (SAT) decreases significantly. Unlike VAT, which is linked to metabolic diseases, SAT has beneficial effects. However, the molecular details behind aging-associated loss of SAT remain unclear. Here we compare scRNA-seq of total SVF of SAT from young and aging mice to identify a novel Aging-dependent Regulatory Cell (ARC) that emerges in SAT of aged mice. Inguinal white adipose tissue (iWAT) was used as a representative SAT; iWAT pads of 2 mice from each age group were subjected to collagenase digestion and treated with a hypotonic buffer to remove red blood cells before subjection to scRNA-seq by 10X Genomics Chromium Single Cell Kit. The findings showed that ARCs express adipogenic markers but lack adipogenic capacity and inhibit differentiation of neighboring adipose precursors.

2021-03-25 | E-MTAB-10221 | biostudies-arrayexpress

Subcutaneous adipose tissue and visceral adipose tissue gene expression profiles in Mexican patients with obesity

2016-07-20 | GSE84599 | GEO

Expression data from mock- or LMO3 silenced differentiating adipose stem cells

Project description:In this study we aimed to gain further insight on the role of GCs in adipocyte differentiation. For the future drugability of candidate targets it is of utmost importance to find factors relevant to human biology. Thus, we analyzed the transcriptome of GC induced primary human adipose stem cells (hASC) to identify novel factors downstream of GC action We used microarrays to detail the global programme of gene expression following glucocorticoid treatment and identified distinct classes of up- and downregulated genes during this process. Human preadipocytes (human adipose stem cells) were obtained from lipoaspirates by enzamytic digestions, followed by several steps of centrifugations (Mikkelsen et. al Cell. 2010 Oct 1;143(1):156-69.). Following isolation, human adipose stem cells were transfected with a control siRNA (siCtrl) or two different siRNA oligos targeting the gene LMO3 (siLMO3_oligo1 or siLMO3_oligo2). 40Hrs later, the transfected human adipose stem cells were induced to differentiate into mature adipocytes with a adipogenic cocktail (FullMix) and RNA isolated at day 0 or day6 after induction of differentiation.

2013-06-12 | E-GEOD-41712 | biostudies-arrayexpress

A dynamic subcutaneous adipose transcriptome of human insulin resistance identifies a molecular predisposition shared with visceral adipose tissue

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

Expression data from mock- or LMO3 silenced differentiating adipose stem cells

2013-06-12 | GSE41712 | GEO

Single-cell Analysis of Subcutaneous Fat Reveals Pro-fibrotic Cells that Correlate with Visceral Adiposity in HIV

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

The Hidden Culprit of Visceral Fat: Dysfunctional Subcutaneous Adipose Tissue – Serum proteomics

Project description:To investigate the proteomic profiles of paired subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) samples, as well as their correlations with clinical traits in severely obese patients, and to identify potential serum protein markers associated with tissue expression or metabolic states.

2024-05-24 | PXD041750 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data