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An in vitro high-content screening unveils miR-429 as a protective molecule in photoreceptor degeneration models

GSE272674 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/01/07 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: 9 × Optic cup, AAV8-GFP, vs 9 × Optic cup, AAV8-miR-429,Groups 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
In vitro high-content screening reveals miR-429 as a protective molecule in photoreceptor degenerationMolecular therapy. Nucleic acids · 2025
Summary (written by the submitters)
Transcriptome profile of optic cups from RhoP23H/+ mice following AAV-mediated subretinal delivery of pre-miR-429 or GFP (control vector) to study the molecular changes underlying the neuroprotective effect of miR-429 overexpression in an Inherited Retinal Disease (IRD) model.
Published in
In vitro high-content screening reveals miR-429 as a protective molecule in photoreceptor degeneration
Petrogiannakis G, Guadagnino I, Negueruela S et al. · Molecular therapy. Nucleic acids 2025 · PMID 39877002 · doi:10.1016/j.omtn.2024.102434
This dataset
Open GSE272674 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 GSE272674_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 PRJNA1137943 and SRA study SRP521028. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39877002) ↗
Study design
9 × Optic cup, AAV8-GFP, vs 9 × Optic cup, AAV8-miR-429,

Supports a between-group comparison across 18 samples.

How we read this: 2 replicated groups read from 18 sample titles; they account for 18 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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