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Evolutionarily conserved role of Telomerase reverse transcriptase (TERT) in programming the microenvironment via regulation of cGAS/STING pathway

GSE241725 Mus musculus (mouse) Single-cell RNA-seq 15 samples Submitted 2024/07/22 Platform GPL17021
At a glance

Single-cell RNA-seq · mouse · 15 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
15 samples: 6 conditions, mostly in triplicateGroups 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
Evolutionarily conserved role of telomerase reverse transcriptase in programming the microenvironment via regulation of the cGAS-STING pathwayNature cell biology · 2025
Summary (written by the submitters)
Telomerase holoenzyme plays a critical role in maintaining telomere length, and thus in regulating inflammation caused by telomeric DNA damage. However, beyond its role in telomere maintenance, the molecular function of telomerase in directly regulating inflammation remains unclear. Here, we show that the reverse transcriptase component of telomerase, TERT, has a cell-type-specific role in directly regulating inflammation via the cytoplasmic cGAS-STING nucleic acid-sensing pathway.
Read the full summary ↓
Analyses of murine and zebrafish models of gut inflammation and human colitis/Crohn’s patients document that this function of TERT is evolutionarily conserved. Using our novel knock-in TERTVAA mouse model where reverse-transcriptase-inactive TERT is driven by its endogenous loci, and molecular, pharmacological and single-cell approaches we identify the myeloid subpopulation, termed T-MAC, wherein TERT enhances STING activation and initiates type-1 interferon responses independent of reverse transcriptase activity or telomere length. We highlight a hitherto unappreciated role of TERT in directly regulating inflammation and provide a therapeutic rationale for targeting TERT beyond cancers.
Published in
Evolutionarily conserved role of telomerase reverse transcriptase in programming the microenvironment via regulation of the cGAS-STING pathway
Akincilar SC, Fidan K, Kumar N et al. · Nature cell biology 2025 · PMID 40770487 · doi:10.1038/s41556-025-01706-w
This dataset
Open GSE241725 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 GSE241725_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 PRJNA1009411 and SRA study SRP457054. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40770487) ↗
Study design
6 conditions, mostly in triplicate
Mouse Colon, DSS, WT, ×3 Mouse Colon, DSS, VAA, ×3 Mouse Colon, DSS, KO, ×3 Mouse Colon, Untreated, WT, ×2 Mouse Colon, Untreated, VAA, ×2 Mouse Colon, Untreated, KO, ×2

Supports a between-group comparison across 15 samples.

How we read this: 6 replicated groups read from 15 sample titles; they account for 15 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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