← BioTransfer GEO Dataset Finder
GEO series

The liver clock drives circadian rhythms in white adipose tissue [WTKOLRE]

GSE288747 Mus musculus (mouse) RNA-seq (gene expression) 72 samples Submitted 2025/02/11 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 72 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
72 samples: 72 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
Circadian rhythms are integral to maintaining metabolic health by temporally coordinating metabolic functions across tissues. However, the mechanisms underlying circadian cross-tissue coordination remain poorly understood. In this study, we uncover a central role for the liver clock in regulating circadian rhythms in white adipose tissue (WAT).
Read the full summary ↓
Using a liver-specific Bmal1 knockout mouse model, we show that hepatic circadian control is crucial for lipid metabolism in WAT. In addition, by utilizing a model where functional clocks are restricted to the liver, we demonstrate that the liver clock alone drives circadian gene expression in WAT, including Cebpa, a key regulator of adipogenesis. Mechanistically, we show that circadian liver-to-WAT communication is mediated through secreted proteins, including the adaptor protein 14-3-3η (Ywhah). The clinical relevance of these findings is supported by human cohort data, which correlate liver YWHAH expression with lipid metabolic pathways in WAT and cardiometabolic risk factors. These findings provide a mechanistic framework for how the liver clock coordinates WAT physiology and highlights its central role in cardiometabolic health, offering potential insights for targeted circadian-based therapies for metabolic disorders.
This dataset
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.

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 GSE288747_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1219186 and SRA study SRP561544. Searching any of these in the dataset finder brings you back here.

Study design
72 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 72 sample titles: 72 distinct titles with little repetition. 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

+ 32 more — browse all 72 samples with per-sample file links →

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.