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Transcriptomic characterization of adipose tissues in cold-exposed mice

GSE305056 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2026/01/09 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 30 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
30 samples: 6 conditions, mostly with about 5 replicates eachGroups are read from the sample names, not from the paper. Check the list below.
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
Temporal transcriptomic and proteomic characterization of adipose tissue from cold-exposed miceScientific data · 2026
Summary (written by the submitters)
Cold exposure has been shown to induce white adipose tissue (WAT) browning and alter WAT gene expression and lipid metabolism. To understand the transcriptomic profiles of WAT and brown adipose tissue (BAT) upon cold exposure, we performed RNA-seq analysis of inguinal WAT (iWAT) and BAT from mice maintained at either room temperature (RT, 22 °C) or cold (6 °C).
Published in
Temporal transcriptomic and proteomic characterization of adipose tissue from cold-exposed mice
Zhu Q, Wang S, Zhou H et al. · Scientific data 2026 · PMID 41629358 · doi:10.1038/s41597-026-06709-2
This dataset
Open GSE305056 in finder → Find more mouse 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 GSE305056_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1304377 and SRA study SRP607998. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41629358) ↗
Study design
6 conditions, mostly with about 5 replicates each
The iWAT of mice housed at 22℃, ×5 The iWAT of mice housed at 6℃ for 6 h, ×5 The iWAT of mice housed at 6℃ for 24 h, ×5 The BAT of mice housed at 22℃, ×5 The BAT of mice housed at 6℃ for 6 h, ×5 The BAT of mice housed at 6℃ for 24 h, ×5

Supports a between-group comparison across 30 samples.

How we read this: 6 replicated groups read from 30 sample titles; they account for 30 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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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.