GEO series

Tumour derived exosomal DDAH1 promotes lung aging and metastasis

GSE287478 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/10/04 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 18 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: 18 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: Cancer-cell-secreted DDAH1 induces TGF-β1/Smad3 signaling pathway to promote fibrosis and aging in lungNature aging · 2026

Summary (written by the submitters)

Extracellular vesicles can remodel the premetastatic microenvironment of target organs by packaging various bioactive substances (including proteins and small RNA molecules) to promote tumor development and metastasis. DDAH1 is an asymmetric dimethylarginine hydrolase, which catalyzes the hydrolysis of ADMA to nitric oxide and citrulline to promote tumor development and angiogenesis.

Read the full summary ↓

However, the role of DDAH1 carried by tumor-derived small extracellular vesicles in lung metastasis has not been reported. In this study, we revealed that tumor-derived small extracellular vesicles carry DDAH1 and promote its accumulation in the lung, facilitating the formation of the senescent matrix microenvironment in the lung and thereby affecting tumor metastasis.

Published in

Cancer-cell-secreted DDAH1 induces TGF-β1/Smad3 signaling pathway to promote fibrosis and aging in lung

Liu L, Wang Q, Chen M et al. · Nature aging 2026 · PMID 41444413 · doi:10.1038/s43587-025-01024-8

This dataset

Open GSE287478 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 GSE287478_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 PRJNA1213069 and SRA study SRP558513. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41444413) ↗

Study design

6 conditions, mostly in triplicate

10A EV ×3 231 EV ×3 10A/DDAH1 EV ×3 tumor-free ×3 231/DDAH1 KO ×3 PBS ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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

GSM8746372 10A EV rep1 10A EV
GSM8746373 10A EV rep2 10A EV
GSM8746374 10A EV rep3 10A EV
GSM8746375 231 EV rep1 231 EV
GSM8746376 231 EV rep2 231 EV
GSM8746377 231 EV rep3 231 EV
GSM8746378 10A/DDAH1 EV rep1 10A/DDAH1 EV
GSM8746379 10A/DDAH1 EV rep2 10A/DDAH1 EV
GSM8746380 10A/DDAH1 EV rep3 10A/DDAH1 EV
GSM8746381 tumor-free rep1 tumor-free
GSM8746382 tumor-free rep2 tumor-free
GSM8746383 tumor-free rep3 tumor-free
GSM8746384 231/DDAH1 KO rep1 231/DDAH1 KO
GSM8746385 231/DDAH1 KO rep2 231/DDAH1 KO
GSM8746386 231/DDAH1 KO rep3 231/DDAH1 KO
GSM9205334 PBS rep1 PBS
GSM9205335 PBS rep2 PBS
GSM9205336 PBS rep3 PBS

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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.