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Endothelial TGFβ signaling regulates choroidal neovascularization severity via myeloid–endothelial interaction

GSE318434 Mus musculus (mouse) RNA-seq (gene expression) 40 samples Submitted 2026/07/15 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 40 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
40 samples: 40 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
Endothelial TGFβ signaling modulates choroidal neovascularization severity via myeloid-endothelial cell interactionFrontiers in immunology · 2026
Summary (written by the submitters)
The blood-retinal barrier (BRB) is essential for maintaining retinal homeostasis, yet its disruption contributes to pathological angiogenesis in diseases such as neovascular age-related macular degeneration (nAMD). Here, we investigated how endothelial TGF-β signaling interacts with microglia to regulate choroidal neovascularization (CNV).
Read the full summary ↓
Using a laser-induced CNV model in mice with endothelial-specific Tgfbr2 deletion (Tgfbr2∆EC) and concomitant microglia depletion via PLX5622, we demonstrate that loss of endothelial TGF-β signaling significantly exacerbates CNV, an effect fully rescued by microglia depletion. Bulk RNA sequencing and RNAscope analyses of CNV lesions identified fibrinogen alpha chain (Fga) as a microglia-derived factor upregulated exclusively in Tgfbr2∆EC mice. These findings suggest a TGF-β-dependent interaction between endothelial cells and microglia that promotes angiogenesis through microglia derived Fga expression.
Published in
Endothelial TGFβ signaling modulates choroidal neovascularization severity via myeloid-endothelial cell interaction
Schlecht A, Müllerbauer L, Fitz K et al. · Frontiers in immunology 2026 · PMID 42433372 · doi:10.3389/fimmu.2026.1813788
This dataset
Open GSE318434 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 GSE318434_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 PRJNA1418721 and SRA study SRP674640. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42433372) ↗
Study design
40 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 40 sample titles: 40 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
Datasets on a similar topic

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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.