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Status |
Public on Nov 04, 2019 |
Title |
Single Cell RNASeq profiling of stromal vascular fraction from Subcutaneous and visceral adipose tissue |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
The complex relationship between metabolic disease risk and body fat distribution in humans involves cellular characteristics which are specific to each body fat compartment. We applied single-cell RNA sequencing (scRNA-Seq) to identify these depot-specific differences in the stromal vascular fraction of visceral (VAT) and subcutaneous (SAT) adipose tissue of obese individuals. We characterized multiple immune cells, endothelial cells, fibroblasts, adipose and hematopoietic stem cell progenitors. Subpopulations of adipose-resident immune cells were found to be metabolically active and associated with metabolic disease status including a population of potential dysfunctional CD8+ T cells expressing metallothioneins. Adipocyte progenitors were identified at different stages of adipogenesis where a subset was pronounced in type 2 diabetics. Depot-specific analysis revealed a class of adipocyte progenitors unique to VAT possessing features similar to ‘inducible brown preadipocytes’. Our first generation human scRNA-Seq transcriptome atlas across fat depots provides a new resource to dissect functional genomics of metabolic disease.
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Overall design |
Profiling of different cell types found in adipose derived stromal vascular fraction (SVF) of obese individuals with or without type 2 diabetes
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Contributor(s) |
Vijay J, Grundberg E |
Citation(s) |
32066997 |
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Submission date |
Apr 04, 2019 |
Last update date |
Feb 23, 2020 |
Contact name |
Elin Grundberg |
Organization name |
CHILDREN'S MERCY HOSP (KANSAS CITY, MO)
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Street address |
2401 Gillham Road
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City |
Kansas City |
State/province |
Missouri |
ZIP/Postal code |
64108 |
Country |
USA |
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Platforms (2) |
GPL20301 |
Illumina HiSeq 4000 (Homo sapiens) |
GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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Samples (32)
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This SubSeries is part of SuperSeries: |
GSE136230 |
Single-cell analysis of human adipose tissue |
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Relations |
BioProject |
PRJNA531020 |
SRA |
SRP190924 |