GEO series

STING deficiency does not rescue short-telomere mediated aging phenotypes and longevity in TERC or TERT telomerase deficient mice

GSE309674 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2026/07/02 Platform GPL34328

At a glance

RNA-seq (gene expression) · mouse · 15 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: 15 samples
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)

The c-GAS-STING pathway is proposed to have a key physiological role in the response to viral genomes and other types of endogenous DNA byproducts by inducing inflammatory pathways. More recently a role of the c-GAS-STING in senescence and in response to short telomeres has been also proposed.

Read the full summary ↓

To address the role of the cGAS-STING pathway in the age-related pathologies and decreased longevity associated to short and dysfunctional telomeres, here we have generated double mutant mice for STING and increasing generations of telomerase deficiency, either owing to deficiency in the telomerase RNA component, TERC, or in the reverse transcriptase component (TERT). Our results with both telomerase-deficient mouse cohorts show that STING deficiency does not rescue any of the major phenotypes associated to short telomeres, including decreased body weight, infertility, and a plethora of degenerative pathologies. Importantly, STING deficiency does not rescue the progressively decreased maximum and median lifespan of increasing generations of Terc or Tert deficient mice. These findings indicate that STING does not mediate aging phenotypes associated to short telomeres in mammals. Furthermore, they have profound implications for the development of therapeutic strategies based on STING inhibition for the treatment of age-related diseases associated to short or dysfunctional telomeres.

This dataset

Open GSE309674 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 GSE309674_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 PRJNA1336724 and SRA study SRP630081. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 15 more — browse all 15 samples with per-sample file links →

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