← BioTransfer GEO Dataset Finder
GEO series

The effects of adiponectin knockout on hepatic gene expression in male and female C57BL/6NCrl mice fed ad libitum or undergoing caloric restriction

GSE330380 Mus musculus (mouse) RNA-seq (gene expression) 22 samples Submitted 2026/05/11 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 22 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
22 samples: 6 × Female_CR_KO_biol vs 6 × Female_AL_KO_biol vs 5 × Male_CR_KO_biol vs 5 × Male_AL_KO_biolGroups 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
Adiponectin exerts sex-dependent effects on lipid, amino acid, and glucose metabolism during caloric restrictionPLoS biology · 2026
Summary (written by the submitters)
To understand the role of adiponectin under caloric restriction (CR) in the liver, we collected liver samples from male and female adiponectin KO mice and wild-type (WT) mice, on a C57BL/6NCrl background, that were fed ad libitum (AL) or underwent 30% caloric restriction (CR; receiving 70% of daily AL intake) from 9-13 weeks of age. Livers were then analysed by bulk RNA-seq.
Published in
Adiponectin exerts sex-dependent effects on lipid, amino acid, and glucose metabolism during caloric restriction
Ikushima YM, Chen KC, Sulston RJ et al. · PLoS biology 2026 · PMID 42313833 · doi:10.1371/journal.pbio.3003821
This dataset
Open GSE330380 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 GSE330380_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 PRJNA1463753 and SRA study SRP698701. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42313833) ↗
Study design
6 × Female_CR_KO_biol vs 6 × Female_AL_KO_biol vs 5 × Male_CR_KO_biol vs 5 × Male_AL_KO_biol

Supports a between-group comparison across 22 samples.

How we read this: 4 replicated groups read from 22 sample titles; they account for 22 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.