GEO series

Activation of the aryl hydrocarbon receptor in mature adipocytes does not impact diet-induced obesity in mice [RNA-seq]

GSE311153 Mus musculus (mouse) Single-cell RNA-seq 10 samples Submitted 2025/12/22 Platform GPL30172

At a glance

Single-cell RNA-seq · mouse · 10 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: 10 samples: 5 × Adipocyte precursor cells, 6hr DMSO, Sample vs 5 × Adipocyte precursor cells, 6hr FICZ, SampleGroups 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)

Background: Despite rising awareness and advances in the field, the prevalence of obesity continues to increase. Current weight-loss treatments are often ineffective long-term, and some are associated with serious side effects. For this reason, alternative pathways need to be explored in order to identify novel pharmacological targets for the treatment of obesity.

Read the full summary ↓

In this study, we aim to investigate the role of the ligand-activated transcription factor, aryl hydrocarbon receptor (AHR), in the development of obesity and metabolic syndrome. Methods & Results: Using global and adipocyte-specific Ahr knock-out mouse models, we show that even though global Ahr deletion has some protective effects from diet-induced obesity and metabolic syndrome, adipocyte-specific deletion of Ahr has no effect. Furthermore, using a variety of techniques to isolate mature adipocytes, such as flotation, in-vitro differentiation, and translating ribosome affinity purification, we show no evidence that Ahr is expressed in mature white adipocytes. Finally, using single-cell RNA sequencing on cells from a Cyp1a1 fate reporter mouse line, in which eYFP can be used as a readout of AHR activation, we show that the AHR pathway is active in adipose stem and precursor cells. Using bulk RNA sequencing on adipocyte precursors stimulated with an AHR ligand in-vitro, we show evidence suggesting that Ahr may be involved in the control of adipocyte differentiation. Conclusions: Our study indicates that Ahr may play an important role in adipocyte precursors, particularly in the initiation of adipocyte differentiation. We suggest that these results warrant further research in this mechanism in the context of obesity.

This dataset

Open GSE311153 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 GSE311153_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: 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 PRJNA1368759 and SRA study SRP648046. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

5 × Adipocyte precursor cells, 6hr DMSO, Sample vs 5 × Adipocyte precursor cells, 6hr FICZ, Sample

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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

GSM9318536 Adipocyte precursor cells, 6hr DMSO, Sample 1 Adipocyte precursor cel…
GSM9318537 Adipocyte precursor cells, 6hr FICZ, Sample 1 Adipocyte precursor cel…
GSM9318538 Adipocyte precursor cells, 6hr DMSO, Sample 2 Adipocyte precursor cel…
GSM9318539 Adipocyte precursor cells, 6hr FICZ, Sample 2 Adipocyte precursor cel…
GSM9318540 Adipocyte precursor cells, 6hr DMSO, Sample 3 Adipocyte precursor cel…
GSM9318541 Adipocyte precursor cells, 6hr FICZ, Sample 3 Adipocyte precursor cel…
GSM9318542 Adipocyte precursor cells, 6hr DMSO, Sample 4 Adipocyte precursor cel…
GSM9318543 Adipocyte precursor cells, 6hr FICZ, Sample 4 Adipocyte precursor cel…
GSM9318544 Adipocyte precursor cells, 6hr DMSO, Sample 5 Adipocyte precursor cel…
GSM9318545 Adipocyte precursor cells, 6hr FICZ, Sample 5 Adipocyte precursor cel…

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