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L-DOPA treatment promotes sustained neurovascular and synaptic homeostasis in the diabetic retina

GSE318897 Mus musculus (mouse) RNA-seq (gene expression) 53 samples Submitted 2026/07/20 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 53 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
53 samples: 16 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
L-DOPA Promotes Post-Treatment Neurovascular and Synaptic Homeostasis in Early Diabetic RetinopathyInvestigative ophthalmology & visual science · 2026
Summary (written by the submitters)
Purpose: Previous work has shown a sustained protective effect of levodopa (L-DOPA) on retinal function in early-stage diabetic retinopathy in humans. Here, we quantify neurovascular function, investigate the longevity of L-DOPA treatment for sustained retinal protection, and assess gene expression changes to identify underlying biology in a diabetic mouse model.
Read the full summary ↓
Methods: After confirming retinal functional deficits in streptozotocin (STZ)-induced diabetic mice using electroretinogram (ERG) and optomotor response (OMR), control and diabetic mice were treated with: 1) L-DOPA/carbidopa for four weeks (continuous), 2) two weeks of L-DOPA/two weeks of washout, or 3) vehicle for four weeks. During the final two weeks of treatment, ERG and OMR testing was repeated and the vasodilative response to photic flicker stimulus was measured to evaluate neurovascular coupling. Following retinal extraction, bulk RNASeq analyses of differentially expressed genes (DEGs), weighted gene co-expression network analysis (WGCNA), and gene ontology (GO) were used to relate neurovascular functional protection with retinal gene expression. Results: L-DOPA treatment improved ERG oscillatory potential timing and OMR responses in diabetic mice, with improvements maintained during the washout period. Flicker-induced venule vasodilative response also showed sustained improvement in the diabetic L-DOPA washout group. DEGs in the diabetic retina were similar across L-DOPA treatment groups. WGCNA revealed that L-DOPA treated diabetic mice had specific gene modules associated with synapse function and cytoskeletal components that correlated with L-DOPA-induced retinal function protection. Conclusions: L-DOPA treatment restored and sustained protection of retinal neurovascular function in early-stage diabetic retinopathy in mice. These improvements in function were associated with transcriptional changes related to retinal synapse activity and cytoskeletal integrity.
Published in
L-DOPA Promotes Post-Treatment Neurovascular and Synaptic Homeostasis in Early Diabetic Retinopathy
Chlan E, Li C, Bales KL et al. · Investigative ophthalmology & visual science 2026 · PMID 42474422 · doi:10.1167/iovs.67.8.42
This dataset
Open GSE318897 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 GSE318897_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 PRJNA1420788 and SRA study SRP675850. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42474422) ↗
Study design
16 conditions, mostly in triplicate
C1_DM+Veh ×4 C1_DM+Cont ×4 C2_DM+Cont ×4 C3_DM+Cont ×4 C3_DM+Wash ×4 C1_Ctrl+Veh ×3 C1_Ctrl+Cont ×3 C2_Ctrl+Veh ×3 +8 more

Supports a between-group comparison across 53 samples.

How we read this: 16 replicated groups read from 53 sample titles; they account for 53 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

+ 13 more — browse all 53 samples with per-sample file links →

Datasets on a similar topic

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