← BioTransfer GEO Dataset Finder
GEO series

TERT expression attenuates metabolic disorders in obese mice by promoting adipocyte formation and remodeling macrophage landscape [RNA-Seq]

GSE261438 Mus musculus (mouse) Single-nucleus RNA-seq 12 samples Submitted 2026/03/12 Platform GPL13112
At a glance

Single-nucleus RNA-seq · mouse · 12 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). 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
12 samples: 3 × P21het_VASC_SD vs 3 × P21het_VASC_HFD vs 3 × P21Tert_VASC_HFD vs 3 × P21TertCI_VASC_HFDGroups 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)
Obesity is linked to limited adipose tissue (AT) remodeling capacity, leading to hypertrophic adipocytes, senescence, and inflammation. We used a mouse model expressing mTert, or its catalytically inactive form mTertCi, from the Cdkn1a locus to investigate the role of mTERT in obesity-induced metabolic disorders in mice on a high-fat-diet (HFD).
Read the full summary ↓
We found that mTERT expression attenuates p21 expression, telomere attrition, senescence, and inflammation in the AT of HFD-induced obese mice, thereby reducing associated metabolic disorders. In vivo and in vitro data reveal that mTERT promotes differentiation of adipose stem and progenitor cells into adipocytes in obese mice. Strikingly, single nucleus RNA-seq data show that both mTERT and mTERTCi remodels the landscape of macrophages in AT of obese mice thereby reducing the immune response. These results emphasize involvement of the canonical and non-canonical mTERT functions in ameliorating metabolic disorders and suggest conditional TERT expression as a potential therapeutic option for obesity.
This dataset
Open GSE261438 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 GSE261438_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 PRJNA1086946 and SRA study SRP494860. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × P21het_VASC_SD vs 3 × P21het_VASC_HFD vs 3 × P21Tert_VASC_HFD vs 3 × P21TertCI_VASC_HFD

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.