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Targeting ATF6 Reduces Pathological Neovascularization and Improves Visual Outcomes in Retinal Disease Models

GSE292097 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/08/14 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 5 × WT vs 5 × Atf6KO vs 5 × PBS vs 5 × CeapinA7Groups 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
Targeting ATF6 reduces pathological neovascularization and improves visual outcomes in retinal disease modelsScientific reports · 2025
Summary (written by the submitters)
Pathological retinal neovascularization is a common mechanism for leading causes of vision loss including retinopathy of prematurity (ROP), diabetic retinopathy, and wet age-related macular degeneration. The Unfolded Protein Response (UPR) is an intracellular signal transduction mechanism controlled by the ER-resident proteins ATF6, IRE1, and PERK.
Read the full summary ↓
In response to endoplasmic reticulum stress, UPR activates downstream transcriptional and translational programs that upregulate many proteins, including key angiogenesis factors like VEGF and HIF1a. This suggests an important role for UPR in developmental and pathologic retinal angiogenesis, but it is unclear which UPR regulatory genes are most important in these processes. Here, we focused on the role of Activating Transcription Factor 6 (ATF6) in pathologic and developmental retinal angiogenesis. We induced pathologic retinal neovascularization in Atf6-/- mice using the oxygen-induced retinopathy (OIR) model of ROP and examined functional, histologic, and molecular consequences in the retina. we found significantly preserved visual function, accompanied by decreased retinal neovascularization, endothelial cell proliferation, and UPR and angiogenesis transcriptional programs in Atf6-/- mice after OIR. When we chemically blocked ATF6 signaling by intraocular injection of the small molecule Ceapin-A7, we also saw suppression of UPR and angiogenesis gene expression. Last, we examined very young Atf6-/- mice when the inner retinal vasculature is developing and found a significant defect in pruning and blood vessel extension to the periphery at P7, but this delay was transient and Atf6-/- blood vessels fully recovered at older ages of development. Together, our results demonstrate ATF6’s critical role in developmental and pathological angiogenesis and highlight its potential as a therapeutic target to mitigate pathological retinal neovascularization.
Published in
Targeting ATF6 reduces pathological neovascularization and improves visual outcomes in retinal disease models
Bradley A, Park S, Park S et al. · Scientific reports 2025 · PMID 41006433 · doi:10.1038/s41598-025-15393-y
This dataset
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.

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 GSE292097_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1236858 and SRA study SRP570783. Searching any of these in the dataset finder brings you back here.

Study design
5 × WT vs 5 × Atf6KO vs 5 × PBS vs 5 × CeapinA7

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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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