Single-nucleus RNA sequencing of human visceral adipose tissue biopsies from 11 Italian participants.
Single-nucleus RNA-seq · human · 11 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
- 11 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
- Decreased degree of adipocyte differentiation in visceral adipose tissue contributes to metabolic dysfunction-associated steatotic liver diseaseNature communications · 2026
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE302702_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1291759. Searching any of these in the dataset finder brings you back here.
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 VAT1 … VAT11 and carry no group information.
- GSM9109095 VAT1
- GSM9109096 VAT2
- GSM9109097 VAT3
- GSM9109098 VAT4
- GSM9109099 VAT5
- GSM9109100 VAT6
- GSM9109101 VAT7
- GSM9109102 VAT8
- GSM9109103 VAT9
- GSM9109104 VAT10
- GSM9109105 VAT11
- GSE302599 Single-nucleus RNA sequencing of human visceral adipose tissue biopsies from 63 Italian participants. 63 samples shares single-nucleus, participants, visceral, biopsies, adipose, italian
- GSE274778 Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 68 Finnish participants. 68 samples shares single-nucleus, participants, biopsies, adipose
- GSE302701 Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 59 Finnish participants. 59 samples shares single-nucleus, participants, biopsies, adipose
- GSE316698 Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 49 Mexican participants 49 samples shares single-nucleus, participants, biopsies, adipose
- GSE245948 A dynamic subcutaneous adipose transcriptome of human insulin resistance identifies a molecular predisposition shared with visceral adipose tissue 76 samples shares visceral, adipose
- GSE310542 A single-nucleus dataset sampling subcutaneous white adipose from living donors to study familial partial lipodystrophy 2 30 samples shares single-nucleus, adipose
- GSE308103 Single-nucleus RNA-sequencing (snRNA-seq) analysis of normal lung tissues, precursor lung lesions and invasive lung adenocarcinomas 75 samples shares single-nucleus
- GSE221608 Transcriptome sequencing of normal intestinal mucosal tissues, paired primary CRC tissues and liver metastases lesions in participants of CRC 52 samples shares participants
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.