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Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 59 Finnish participants.

GSE302701 Homo sapiens (human) Single-nucleus RNA-seq 59 samples Submitted 2026/04/02 Platform GPL34284
At a glance

Single-nucleus RNA-seq · human · 59 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
Organism
Homo sapiens (human)
Samples
59 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
Adipose single cell epigenome and transcriptome localize genetic risk for cardiometabolic disease and accelerated agingNature communications · 2026
Summary (written by the submitters)
We performed single-nucleus RNA-sequencing on subcutaneous adipose tissue biopsies from 59 Finnish donors from the Kuopio OBesity Surgery study (KOBS) cohort.
Published in
Adipose single cell epigenome and transcriptome localize genetic risk for cardiometabolic disease and accelerated aging
Lee SHT, Kar A, Gelev KZ et al. · Nature communications 2026 · PMID 42010250 · doi:10.1038/s41467-026-72248-4
This dataset
Open GSE302701 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE302701_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1291756. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42010250) ↗
Study design
A cohort of 59 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run SAT1 … SAT59 and carry no group information.

Samples in this study

+ 19 more — browse all 59 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.