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Attenuation of oxygen-induced neovascularization and inflammation by neutralizing antibody to VEGFA and/or ANG-2

GSE315511 Mus musculus (mouse) RNA-seq (gene expression) 40 samples Submitted 2026/04/15 Platform GPL24247
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: 20 conditions, mostly in duplicateGroups 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
Attenuation of Oxygen-Induced Neovascularization and Inflammation by Neutralizing VEGFA and/or ANG-2 With an AntibodyGenes to cells : devoted to molecular & cellular mechanisms · 2026
Summary (written by the submitters)
Neovascularization is a major cause of blindness in various retinal diseases, and inflammation aggravates the pathological and clinical conditions of these diseases. VEGFA or ANG-2 neutralizing antibodies have been used to block pathological neovascularization. In this work, the effects of intraocular administration of neutralizing antibodies against VEGFA, ANG-2, or bispecific to these two factors on pathological findings were examined in the oxygen-induced retinopathy (OIR) mouse model.
Read the full summary ↓
At both postnatal day (P)17 and P19, anti-VEGFA and -ANG-2 administration suppressed neovascularization, and the bispecific antibody attenuated neovascularization more efficiently. However, oxygen-induced vaso-obliteration was not modified by these antibodies. Numbers of photoreceptor, amacrine, and bipolar cells were reduced in the OIR retina, and the antibodies reversed these changes. Microglia-specific gene expression increased in the OIR retina, and administration of the antibodies reduced the IBA1-positive area in the OIR retina, although these antibodies did not affect marker gene expression. Labeled VEGFA and ANG-2 were found to be co-localized with microglia, suggesting that VEGFA and ANG-2 affect microglia activation directly. Taken together, neutralizing antibody to VEGFA or ANG-2 attenuated oxygen-induced neovascularization and inflammation, and the bispecific antibody more efficiently suppressed some features than the single antibody to VEGFA or ANG-2.
Published in
Attenuation of Oxygen-Induced Neovascularization and Inflammation by Neutralizing VEGFA and/or ANG-2 With an Antibody
Oohashi H, Iwagawa T, Abe H et al. · Genes to cells : devoted to molecular & cellular mechanisms 2026 · PMID 41944819 · doi:10.1111/gtc.70107
This dataset
Open GSE315511 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 GSE315511_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 PRJNA1398191 and SRA study SRP659654. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41944819) ↗
Study design
20 conditions, mostly in duplicate
nOIR_1_P ×2 nOIR_2_P ×2 nOIR_3_P ×2 nOIR_4_P ×2 OIR_IgG_1_P ×2 OIR_IgG_2_P ×2 OIR_IgG_3_P ×2 OIR_IgG_4_P ×2 +12 more

Supports a between-group comparison across 40 samples.

How we read this: 20 replicated groups read from 40 sample titles; they account for 40 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
Datasets on a similar topic

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