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CX3CR1-Fractalkine Dysregulation Affects Retinal GFAP Expression, Inflammatory Gene Induction, and LPS Response in a Mouse Model of Hypoxic Retinopathy

GSE276207 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/02/17 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
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
CX3CR1-Fractalkine Dysregulation Affects Retinal GFAP Expression, Inflammatory Gene Induction, and LPS Response in a Mouse Model of Hypoxic RetinopathyInternational journal of molecular sciences · 2025
Summary (written by the submitters)
Diabetic retinopathy (DR) causes vision loss due to sustained inflammation and vascular dam-age. The vascular damage is characterized fibrinogen leakage, angiogenesis, and hypoxia exac-erbating retinal damage. Neuronal regulation of microglia via the CX3CL1 (FKN)-CX3CR1 pathway also play a significant role in retinal pathology; here defects in the FKN-CX3CR1 pathway exacerbate inflammation, vascular damage and vision impairment. However, the con-tribution of hypoxic astrocytes to the pathological process of DR is unclear.
Published in
CX3CR1-Fractalkine Dysregulation Affects Retinal GFAP Expression, Inflammatory Gene Induction, and LPS Response in a Mouse Model of Hypoxic Retinopathy
Rorex C, Cardona SM, Church KA et al. · International journal of molecular sciences 2025 · PMID 39940901 · doi:10.3390/ijms26031131
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 GSE276207_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 PRJNA1155704 and SRA study SRP530095. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

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