Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Subcutaneous adipose tissue from lean and obese subjects

ABSTRACT: Obtaining adipose tissue samples are paramount to the understanding of human obesity. We have examined the impact of needle-aspirated and surgical biopsy techniques on the study of subcutaneous adipose tissue (scAT) gene expression in both obese and lean subjects. Biopsy sampling methods have a significant impact on data interpretation and revealed that gene expression profiles derived from surgical tissue biopsies better capture the significant changes in molecular pathways associated with obesity. We hypothesize that this is because needle biopsies do not aspirate the fibrotic fraction of scAT; which subsequently results in an under-representation of the inflammatory and metabolic changes that coincide with obesity. This analysis revealed that the biopsy technique influences the gene expression underlying the biological themes commonly discussed in obesity (e.g. inflammation, extracellular matrix, metabolism, etc), and is therefore a caveat to consider when designing microarray experiments. These results have crucial implications for the clinical and physiopathological understanding of human obesity and therapeutic approaches. Keywords: subject and tissue biopsy technique comparison

ORGANISM(S): Homo sapiens

PROVIDER: GSE12050 | GEO | 2008/12/22

SECONDARY ACCESSION(S): PRJNA113375

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Subcutaneous adipose tissue from lean and obese subjects

Project description:Obtaining adipose tissue samples are paramount to the understanding of human obesity. We have examined the impact of needle-aspirated and surgical biopsy techniques on the study of subcutaneous adipose tissue (scAT) gene expression in both obese and lean subjects. Biopsy sampling methods have a significant impact on data interpretation and revealed that gene expression profiles derived from surgical tissue biopsies better capture the significant changes in molecular pathways associated with obesity. We hypothesize that this is because needle biopsies do not aspirate the fibrotic fraction of scAT; which subsequently results in an under-representation of the inflammatory and metabolic changes that coincide with obesity. This analysis revealed that the biopsy technique influences the gene expression underlying the biological themes commonly discussed in obesity (e.g. inflammation, extracellular matrix, metabolism, etc), and is therefore a caveat to consider when designing microarray experiments. These results have crucial implications for the clinical and physiopathological understanding of human obesity and therapeutic approaches. Keywords: subject and tissue biopsy technique comparison Tissue samples from lean and obese subjects were analyzed: total of 36 hybridizations. The goal was to compare the effect of biopsy sampling methods on global subcutaneous adipose tissue gene expression analyses. The following subject groups were used for the analysis: 9 lean subjects: needle biopsy 9 lean subjects: surgical biopsy 9 obese subjects: needle biopsy 9 obese subjects: surgical biopsy

2008-12-22 | E-GEOD-12050 | biostudies-arrayexpress

Subcutaneous adipose tissue transcriptome highlights specific expression profiles in pediatric severe obesity: a pilot study

Project description:Pediatric obesity prevalence is rapidly rising worldwide and “omic” approaches are helpful in obesity molecular pathophysiology investigation. This work aimed at the identification of transcriptional differences in subcutaneous adipose tissue (scAT) of children with overweight (OW), obesity (OB) or severe obesity (SV) respect those with normal weight (NW). Periumbilical scAT biopsies were collected from 20 male children aged 1-12 years. Considering BMI z-score, chil-dren were stratified into 4 groups: SV, OB, OW, NW. scAT RNA-Seq analyses were performed, differential expression analysis was achieved using the DESeq2 R package. Pathways analysis was performed to gain biological insights on gene expression. Our data highlight the significant deregulation in both coding and non-coding transcripts in the SV group when compared to NW, OW, and OB. KEGG pathway analysis showed involvement for coding transcripts mainly in li-pid metabolism. GSEA analysis revealed upregulation of lipid degradation and metabolism in SV vs OB and SV vs OW. Bioenergetic processes and the catabolism of branched-chain amino acids resulted upregulated in SV when compared to OB, OW, NW. In conclusion, we report for the first time that a significant transcriptional deregulation occurs in periumbilical scAT of children with severe obesity with respect to normal weight, overweight or mild obesity.

2023-05-03 | GSE228892 | GEO

Divergent immunometabolic changes in adipose tissue and skeletal muscle with ageing in healthy humans

Project description:RNA-sequencing from 12 young (20-35 years old) and 12 older (60-85 years old) participants' skeletal muscle and adipose tissue. Biopsies were taken at rest following an overnight fast, and following alcohol/caffeine restriction for 24 hours, and no strenuous physical activity for 48 hours. Skeletal muscle was taken by the Bergstrom technique under local anaesthesia (Lidocaine hydrochloride) from the dominant leg Vastus Lateralis, and adipose tissue was taken by needle aspiration 5cm lateral to the umbilicus.

2021-05-26 | GSE175495 | GEO

Prostate cancer specific gene expression

Project description:To identify prostate cancer-specific gene expression, we have employed whole cDNA microarray expression profiling between benign prostate hypertrophy and prostate cancer. We performed needle biopsy of patients with prostatic hyperplasia who were suspected as prostate cancer for minor high level (4.0-10 ng/ml). As a result of needle biopsy, we used the tissue of patients with prostatic hyperplasia that prostate cancer was denied for cDNA microarry analysis. Furthermore, we also performed needle biopsy of patients that prostate cancer should have been strongly suspected because of high PSA. Needle biopsies were performed after we obtained informed consent from patients with the document approved from the Graduate School of Medical Science, Kanazawa University.

2014-07-30 | GSE30994 | GEO

Subcutaneous adipose tissue: comparison of weight maintainence and weight regain following an 8-week low calorie diet

Project description:The present study was designed to identify determinants that foreshadow successful weight maintenance. More specifically, we examined whether subcutaneous adipose tissue (scAT) gene expression of participants who experience successful weight maintenance following caloric restriction differed from that of participants who regain weight. Forty women followed a dietary protocol consisting of an 8-week low calorie diet (LCD) and a 6-month weight maintenance phase. At the end of the protocol, participants were classified as weight maintainers (WM; 0-10% weight regain) and weight regainers (WR; 50-100% weight regain). Anthropometric measurements, plasma parameters, and scAT biopsies were taken before and after the LCD. Adipose tissue gene expression profiles were studied in all individuals before and after the LCD.

2011-09-29 | E-GEOD-24432 | biostudies-arrayexpress

Phosphoproteomics scaled-down to tumor biopsy level -part 1 cell line

Project description:Mass spectrometry-based phosphoproteomics of tumor tissue or cell line lysates provides insight in aberrantly activated signaling pathways and potential drug targets. For improved understanding of the individual patient’s tumor biology, analysis of the phosphoproteome should be feasible and reproducible using tumor needle biopsies. We hereto scaled down a pTyr-phosphopeptide enrichment protocol to biopsy-level protein input and show its performance using colorectal cancer (CRC) cell line and needle biopsies from patients. In this study, the feasibility of label-free pTyr-phosphoproteomics at the biopsy level is demonstrated. Unsupervised cluster analysis shows that this approach can identify patient-specific profiles, which will improve our understanding of individual tumor biology and may enable future pTyr-phosphoproteomics-based TKI treatment selection.

2022-03-02 | PXD003808 | Pride

Phosphoproteomics scaled-down to tumor biopsy level. Part 2: biopsies

2019-10-28 | PXD003814 | Pride

METSIM Subcutaneous adipose needle biopsy RNA-seq

Project description:METSIM Subcutaneous adipose needle biopsy RNA-seq

| PRJNA1004679 | ENA

METSIM Subcutaneous adipose needle biopsy ATAC-seq

Project description:METSIM Subcutaneous adipose needle biopsy ATAC-seq

| PRJNA1004680 | ENA

Adipose Tissue MicroRNAs as Regulators of CCL2 Production in Human Obesity [gene expression]

Project description:We used an unbiased systems biology approach to study the regulation of gene expression in human adipose tissue focusing on inflammation. We show that microRNAs play a major role as regulators of CCL2 production in obesity. Abdominal subcutaneous adipose needle biopsies were obtained from women (n=56) with a wide variation in BMI. From the biopsies we prepared and hybridised biotinylated complementary RNA to GeneChip Human Gene 1.0 ST Arrays (Affymetrix Inc., Santa Clara, CA), labelled RNA to Affymetrix miRNA arrays, and bisulphite converted DNA to Illumina Infinium HumanMethylation27 beadchips using standardised protocols (Affymetrix Inc., Illumina Inc.) . Subsequent analyses of gene expression was performed using the Affymetrix GeneChip Operating Software version 1.4. To allow comparisons of transcript levels between samples, all samples were subjected to an all-probeset scaling-to-target signal of 100.

2012-08-12 | E-GEOD-25401 | biostudies-arrayexpress

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