← BioTransfer GEO Dataset Finder
GEO series

Circadian Regulation of Murine Inguinal Adipocytes

GSE202686 Mus musculus (mouse) RNA-seq (gene expression) 61 samples Submitted 2025/04/22 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 61 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
61 samples: 61 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.
Paper
Cell-Autonomous and Systemic Circadian Regulation of Gene Expression in AdipocytesbioRxiv : the preprint server for biology · 2026
Summary (written by the submitters)
The focus of this research is in the area of biological clocks. Importance: Metabolic dysregulation is the major preventable risk factor for leading causes of chronic disease-related deaths. More specifically, chronic obesity is correlated with adipocyte hypertrophy and hyperplasia, both of which may be circadianly regulated. All circadian clocks are cell-intrinsic, and circadian oscillators that are tissue-specific control metabolic homeostasis by fine-tuning nutrient utilization; adipose tissue responds to microenvironmental changes in a clock-dependent manner.
Read the full summary ↓
The objective of this work is to understand how circadian rhythms affect adipocyte biology. To delineate the relationship between the cellular circadian system and adipocyte biology in the absence of organismal cues, circadian output was characterized by transcriptionally profiling in vitro differentiated adipocytes from inguinal adipose tissue over 3 circadian days with a 2-hour resolution via RNAseq. Goal: Determine what aspects of adipocyte biology and environmental stimuli can be influenced by time-of-day. Impact: Findings from this study will increase our understanding of clock-controlled energy metabolism and adipocyte dysfunction, advancing our understanding of the non-linear association between weight, energy expenditure and risk in chronic disease. Purpose: The goals of this study are to understand the molecular basis of the biological clock in mammals and the means through which it controls metabolism. PER2::LUC transgenic mice were used as a source of adipocyte stem cells for studies on the role of the clock in adipocyte biology. Methods: There are two biological replicates. 4 male mice aged 8-12 weeks under 12:12 light-dark cycle and standard chow were used per replicate. The inguinal stromal vascular fraction (SVF) was isolated post-mortem at ZT10*lights on, resting phase, 10am*. Isofluorine anesthesia and cervical dislocation were the method of sacrifice. Pre-adipocytes were isolated as in (Oeckl 2020, DOI: 10.1016/ j.xpro.2020.100118) with modifications and seeded onto three 35mM plastic bottom tissue culture plates (MatTek) in "base media" (DMEM F/12 + GlutaMAX (Gibco xxxx-018) with penicillin/streptomycin and 10% fetal bovine serum (Gibco: Ref#10437-028). Cells were passaged every 48 hours for a total of 3 passages with a split ratio of 1:2.8. In final passage, cells were seeded into 35mM plastic dishes (MatTek). After confluence, differentiation was induced with dexamethasone, rosiglitazone and IBMX, biotin, insulin, pantothenate ( "differentiation media"). After 4 days of differentiation, dex, rosi and IBMX were removed from the media ( "maintenance media"). After 4 days in culture, cells were synchronized with 50% FBS, 50% "base media" and 10uM forskolin for 2-2.5hours. Media was switched to "maintenance media" containing 0.01% bright d-luciferin (GoldBio #LUCK-100) in batches of 4 dishes, topped with glass microscopy slides and sealed with vacuum grease before loading into a Lumicycle housed in a 37C, 0%CO2 incubator. Circadian parameters including amplitude were determined using LumiCycle Analysis software (Actimetrics, v.2.44).
Published in
Cell-Autonomous and Systemic Circadian Regulation of Gene Expression in Adipocytes
Worthen JM, Frederick AM, Dumesic PA et al. · bioRxiv : the preprint server for biology 2026 · PMID 41659457 · doi:10.64898/2026.01.24.701487
This dataset
Open GSE202686 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 GSE202686_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 PRJNA836938 and SRA study SRP374617. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41659457) ↗
Study design
61 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 61 sample titles: 61 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

+ 21 more — browse all 61 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.