Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 49 Mexican participants
Single-nucleus RNA-seq · human · 49 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
- 49 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
- Lessons from single cell omics: admixed American ancestry and sex confer cardiometabolic disease risk in MexicansGenome medicine · 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 GSE316698_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 PRJNA1403620. 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 SAT1 … SAT49 and carry no group information.
- GSM9458539 SAT1
- GSM9458540 SAT2
- GSM9458541 SAT3
- GSM9458542 SAT4
- GSM9458543 SAT5
- GSM9458544 SAT6
- GSM9458545 SAT7
- GSM9458546 SAT8
- GSM9458547 SAT9
- GSM9458548 SAT10
- GSM9458549 SAT11
- GSM9458550 SAT12
- GSM9458551 SAT13
- GSM9458552 SAT14
- GSM9458553 SAT15
- GSM9458554 SAT16
- GSM9458555 SAT17
- GSM9458556 SAT18
- GSM9458557 SAT19
- GSM9458558 SAT20
- GSM9458559 SAT21
- GSM9458560 SAT22
- GSM9458561 SAT23
- GSM9458562 SAT24
- GSM9458563 SAT25
- GSM9458564 SAT26
- GSM9458565 SAT27
- GSM9458566 SAT28
- GSM9458567 SAT29
- GSM9458568 SAT30
- GSM9458569 SAT31
- GSM9458570 SAT32
- GSM9458571 SAT33
- GSM9458572 SAT34
- GSM9458573 SAT35
- GSM9458574 SAT36
- GSM9458575 SAT37
- GSM9458576 SAT38
- GSM9458577 SAT39
- GSM9458578 SAT40
+ 9 more — browse all 49 samples with per-sample file links →
- GSE274778 Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 68 Finnish participants. 68 samples shares single-nucleus, subcutaneous, participants, biopsies, adipose
- GSE302701 Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 59 Finnish participants. 59 samples shares single-nucleus, subcutaneous, participants, biopsies, adipose
- GSE302599 Single-nucleus RNA sequencing of human visceral adipose tissue biopsies from 63 Italian participants. 63 samples shares single-nucleus, participants, biopsies, adipose
- GSE302702 Single-nucleus RNA sequencing of human visceral adipose tissue biopsies from 11 Italian participants. 11 samples shares single-nucleus, participants, biopsies, adipose
- GSE310542 A single-nucleus dataset sampling subcutaneous white adipose from living donors to study familial partial lipodystrophy 2 30 samples shares single-nucleus, subcutaneous, adipose
- GSE329809 The Effect of Weight Loss on Metabolic Processes of the Abdominal Subcutaneous Adipose Tissue: An Exploratory Study using total RNA Next Generation Sequencing 18 samples shares subcutaneous, adipose
- GSE303983 Molecular responses in abdominal subcutaneous adipose tissue after a session of endurance exercise: effects of exercise intensity 90 samples shares subcutaneous, adipose
- GSE245948 A dynamic subcutaneous adipose transcriptome of human insulin resistance identifies a molecular predisposition shared with visceral adipose tissue 76 samples shares subcutaneous, adipose
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.