Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 68 Finnish participants.
Single-nucleus RNA-seq · human · 68 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
- 68 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
- An abdominal obesity missense variant in the adipocyte thermogenesis gene TBX15 is implicated in adaptation to cold in FinnsAmerican journal of human genetics · 2024
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 GSE274778_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 PRJNA1148019. 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 SAT00100 … SAT00199 and carry no group information.
- GSM8457738 SAT00100
- GSM8457739 SAT00101
- GSM8457740 SAT00104
- GSM8457741 SAT00105
- GSM8457742 SAT00107
- GSM8457743 SAT00108
- GSM8457744 SAT00109
- GSM8457745 SAT00111
- GSM8457746 SAT00116
- GSM8457747 SAT00117
- GSM8457748 SAT00118
- GSM8457749 SAT00119
- GSM8457750 SAT00121
- GSM8457751 SAT00123
- GSM8457752 SAT00124
- GSM8457753 SAT00125
- GSM8457754 SAT00126
- GSM8457755 SAT00127
- GSM8457756 SAT00128
- GSM8457757 SAT00129
- GSM8457758 SAT00131
- GSM8457759 SAT00133
- GSM8457760 SAT00136
- GSM8457761 SAT00137
- GSM8457762 SAT00138
- GSM8457763 SAT00141
- GSM8457764 SAT00142
- GSM8457765 SAT00143
- GSM8457766 SAT00144
- GSM8457767 SAT00147
- GSM8457768 SAT00148
- GSM8457769 SAT00149
- GSM8457770 SAT00151
- GSM8457771 SAT00154
- GSM8457772 SAT00158
- GSM8457773 SAT00159
- GSM8457774 SAT00160
- GSM8457775 SAT00162
- GSM8457776 SAT00163
- GSM8457777 SAT00164
+ 28 more — browse all 68 samples with per-sample file links →
- GSE302701 Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 59 Finnish participants. 59 samples shares single-nucleus, subcutaneous, participants, biopsies, adipose, finnish
- GSE316698 Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 49 Mexican participants 49 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.