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Effects of β-catenin deficiency on adipose tissue physiology

GSE294513 Mus musculus (mouse) Single-cell RNA-seq 30 samples Submitted 2025/07/01 Platform GPL28430
At a glance

Single-cell RNA-seq · mouse · 30 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
30 samples: 6 conditions, mostly with about 6 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.
Summary (written by the submitters)
Objective: Compelling evidence from investigation of preclinical models and humans links canonical Wnt/β-catenin signaling to regulation of many aspects of white adipose tissue development and physiology. Dysregulation of this ancient pathway alters adiposity and metabolic homeostasis. Herein we explore how disruption of adipocyte Wnt signaling affects gene expression and crosstalk between cell types within adipose tissue.
Read the full summary ↓
Methods: To investigate mechanisms through which adipose tissue attempts to maintain homeostasis in the absence of β-catenin in adipocytes, we employed standard methods of metabolic phenotyping as well as bulk RNA sequencing, flow cytometry, single-cell RNA sequencing, and isolation of secreted extracellular vesicles. Results: Our experiments reveal that male, but not female Ctnnb1AdKO mice have an increase in adiposity and insulin resistance. Whereas metabolic processes including fatty acid metabolism were suppressed in adipocytes, mitochondrial metabolism of immune cells was made more efficient, resulting in reduced reactive oxygen species in macrophages and dendritic cells. Deficiency of β-catenin in adipocytes altered the transcriptome of numerous stromal-vascular cell populations including adipose stem and progenitor cells, macrophages, and other immune cells. Homeostasis in white adipose tissue of Ctnnb1AdKO mice is maintained in part by elevated expression of Ctnnb1 mRNA in endothelial cells and in secreted small extracellular vesicles. Conclusions: Our studies demonstrate the importance of adipocyte Wnt signaling for regulation of lipid and mitochondrial metabolic processes in stromal-vascular cells and adipocytes in adipose tissues. This research provides further support for an intercellular Wnt signaling network with compensatory capability to maintain homeostasis, and underscores importance of Wnt/β-catenin signaling for understanding adipose tissue physiology and pathophysiology.
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 GSE294513_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: 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 PRJNA1250432 and SRA study SRP578397. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 6 replicates each
Male_Ads_Ctnnb1flfl, ×6 Female_Ads_Ctnnb1flfl, ×6 Female_Ads_Ctnnb1KO, ×6 Male_Ads_Ctnnb1KO, ×5 Male_SVC_Ctnnb1KO, ×4 Male_SVC_Ctnnb1flfl, ×3

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
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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.