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scRNA-seq from abdominal and gluteofemoral subcutaneous adipose tissue derived stem cells (ADSC)

GSE209618 Homo sapiens (human) Single-cell RNA-seq 2 samples Submitted 2025/07/11 Platform GPL20301
At a glance

Single-cell RNA-seq · human · 2 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
2 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Distinct subpopulations of human subcutaneous adipose tissue precursor cells revealed by single-cell RNA sequencingAmerican journal of physiology. Cell physiology · 2024
Summary (written by the submitters)
Recent studies using single cell (sc) RNAseq, identified subpopulations of adipose derived stem cells (ADSCs) within the stroma vascular fraction of human adipose tissue, potentially leading to functionally distinct adipocyte populations. We aimed to extend this analysis by exploring the heterogeneity of the ADSCs within abdominal (ABD) vs gluteofemoral (GF) subcutaneous fat depots of apple and pear shaped pre-menopausal women.
Read the full summary ↓
Using full-length SMART-seq scRNAseq technology and a panel of known stem cell and preadipocyte markers for identification, we detected 7 subpopulations of cells in both ABD and GF-ADSCs. Two ADSC subpopulations enriched the GF depot were characterized by increased expression of genes involved in cholesterol and fatty acid metabolism. Two subpopulations enriched in the ABD depot had gene expression signatures associated with inflammation and fibrosis. The body shape comparison revealed that apple-shaped women have a unique fibrotic ADSC subpopulation in their ABD depot and a high proportion of predicted highly proliferative preadipocytes in their GF depot. We propose that these depot and body shape specific ADSC populations could contribute to the metabolic complications associated with the differential fat distribution.
Published in
Distinct subpopulations of human subcutaneous adipose tissue precursor cells revealed by single-cell RNA sequencing
Divoux A, Whytock KL, Halasz L et al. · American journal of physiology. Cell physiology 2024 · PMID 38581663 · doi:10.1152/ajpcell.00726.2023
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE209618_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA861830 and SRA study SRP387819. Searching any of these in the dataset finder brings you back here.

Samples in this study

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