Dataset Information

Characterization of epiploic adipose tissue

ABSTRACT: In this study, different adipose tissue samples (visceral (omental), subcutaneous, epiploic) from patients with different insulin status were collected. For the proteome analyses a sub-cohort consisting of nine insulin sensitive subjects, matched to nine insulin resistant subjects by sex, age and BMI.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): White Fat Cell, White Adipose Tissue

DISEASE(S): Type 2 Diabetes Mellitus

SUBMITTER: Laura Krieg

LAB HEAD: Kristin Schubert

PROVIDER: PXD022465 | Pride | 2022-12-13

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	20190306_Uniprot_HomoSapiens_Refset_IK.fasta	Fasta
	AdipoTissue_colon_IR_10_1.raw	Raw
	AdipoTissue_colon_IR_10_2.raw	Raw
	AdipoTissue_colon_IR_10_3.raw	Raw
	AdipoTissue_colon_IR_10_4.raw	Raw

Items per page:

1 - 5 of 273

Publications

Multiomics reveal unique signatures of human epiploic adipose tissue related to systemic insulin resistance.

Krieg Laura L Didt Konrad K Karkossa Isabel I Bernhart Stephan H SH Kehr Stephanie S Subramanian Narmadha N Lindhorst Andreas A Schaudinn Alexander A Tabei Shirin S Keller Maria M Stumvoll Michael M Dietrich Arne A von Bergen Martin M Stadler Peter F PF Laurencikiene Jurga J Krüger Martin M Blüher Matthias M Gericke Martin M Schubert Kristin K Kovacs Peter P Chakaroun Rima R Massier Lucas L

Gut 20211001 11

<h4>Objective</h4>Human white adipose tissue (AT) is a metabolically active organ with distinct depot-specific functions. Despite their locations close to the gastrointestinal tract, mesenteric AT and epiploic AT (epiAT) have only scarcely been investigated. Here, we aim to characterise these ATs in-depth and estimate their contribution to alterations in whole-body metabolism.<h4>Design</h4>Mesenteric, epiploic, omental and abdominal subcutaneous ATs were collected from 70 patients with obesity ...[more]

PMID: 34598978

Similar Datasets

Project description:The objective was to characterize differences in the secretome of human omental compared with subcutaneous adipose tissue using global gene expression profiling. Gene expression was measured using Affymetrix microarrays in subcutaneous and omental adipose tissue (n=3 independent subjects; 6 arrays). Predictive bioinformatic algorithms were employed to identify those differentially expressed genes that code for secreted proteins and to identify common pathways between these proteins. All patients provided informed written consent before inclusion in the study which was approved by the North of Scotland Research Ethics Committee (NOSREC). The subcutaneous and omental white adipose tissue biopsies were analysed from three obese patients (BMI 39.1+/-1.9 kg/m2; age 36 +/- 8 years) who had fasted overnight. Subcutaneous and omental white adipose tissue biopsies were taken at the time of surgery for vertical banded gastroplasty from n=3 independent subjects who had fasted overnight. (6 arrays). Adipose tissue samples were obtained within 5 minutes of the tissue being extracted from the patients and frozen immediately in liquid nitrogen. Subjects had fasted overnight prior to surgery. Total RNA was extracted using the RNeasy Lipid tissue mini kit followed by incubation with RNase free DNase (Qiagen, Crawley, West Sussex) for DNA-free RNA, following the manufacturer's instructions (Qiagen, Crawley, West Sussex). RNA was quantified on the Agilent 2100 Bioanalyser (Agilent Technologies, South Queensferry, West Lothian). This also shows the quality of the RNA extracted from the tissues. Only RNA showing no degradation (RIN greater than 9.0) was processed further. The DNA-free RNA from the subcutaneous and omental adipose tissue samples from the patients was then sent to a commercial company for analyses. The RNA from three volunteers (6 arrays ) was fragmented and hybridised to Human Affymetrix U133 plus 2 (Santa Clara, CA) gene chips following the Affymetrix protocol by the MRC Geneservice (MRC HGMP Resource centre, Babraham, Cambridge). Briefly, the Affymetrix one-cycle target labelling and control reagents were used to synthesize Biotin-labelled cRNA. The concentration of the cRNA was measured using a Nanodrop (Thermoscientific) and Agilent bioanalyser to rule out the possibility that only very short cRNA products were formed. This could have caused a 3’-5’ bias and influenced the data analysis. Approximately 20µg cRNA was used for further fragmentation and finally 10µg was used for the hybridisations. The Affymetrix protocols were followed for the hybridisations, washing, staining and scanning of the chips

Project description:The objective was to characterize differences in the secretome of human omental compared with subcutaneous adipose tissue using global gene expression profiling. Gene expression was measured using Affymetrix microarrays in subcutaneous and omental adipose tissue (n=5 independent subjects; 10 arrays). Predictive bioinformatic algorithms were employed to identify those differentially expressed genes that code for secreted proteins and to identify common pathways between these proteins. The time course data was not included in the publication and has yet to be published. Patients undergoing surgery were weight stable one month prior to the operation and were not on any medication. All patients provided informed written consent before inclusion in the study which was approved by the North of Scotland Research Ethics Committee (NOSREC). The subcutaneous and omental white adipose tissue biopsies were analysed from five obese patients (BMI 44.5 +/-10 kg/m2; age 42.7 +/- 10 years) who had fasted overnight. Subcutaneous and omental white adipose tissue biopsies were taken at the time of surgery for vertical banded gastroplasty from n=5 independent subjects who had fasted overnight. (10 arrays). Further subcutaneous adipose tissue samples were taken at approximately four months post vertical banded gastroplasty surgery as the volunteers actively lost weight and at 12 months when the volunteers became weight stable (n=5 independent subjects, three time points 0, 4, and 12 months; 15 arrays). Therefore we report on 20 arrays in total including the arrays used to analyse the omental adipose tissue. Adipose tissue samples were obtained within 5 minutes of the tissue being extracted from the patients and frozen immediately in liquid nitrogen. Subjects had fasted overnight prior to surgery. Total RNA was extracted using the RNeasy Lipid tissue mini kit followed by incubation with RNase free DNase (Qiagen, Crawley, West Sussex) for DNA-free RNA, following the manufacturer's instructions (Qiagen, Crawley, West Sussex). RNA was quantified on the Agilent 2100 Bioanalyser (Agilent Technologies, South Queensferry, West Lothian). This also shows the quality of the RNA extracted from the tissues. Only RNA showing no degradation (RIN greater than 9.0) was processed further. The DNA-free RNA from the subcutaneous and omental adipose tissue samples from the patients was then sent to a commercial company for analyses. The RNA from five volunteers (20 arrays ) was fragmented and hybridised to custom Human NuGo (Nutrigenomics; http://www.nugo.org/everyone/35788) Affymetrix (Santa Clara, CA) gene chips HS 1a520180 following the Affymetrix protocol by Service XS (Leiden, The Netherlands). Briefly, the Affymetrix one-cycle target labelling and control reagents were used to synthesize Biotin-labelled cRNA. The concentration of the cRNA was measured using a Nanodrop (Thermoscientific) and Agilent bioanalyser to rule out the possibility that only very short cRNA products were formed. This could have caused a 3’-5’ bias and influenced the data analysis. Approximately 20µg cRNA was used for further fragmentation and finally 10µg was used for the hybridisations. The Affymetrix protocols were followed for the hybridisations, washing, staining and scanning of the chips