← BioTransfer GEO Dataset Finder
GEO series

Disease-associated microRNA, miR-9-2, is required for the timing of retinal progenitor cell competence and the maintenance of Müller glial identity

GSE325932 Mus musculus (mouse) Single-nucleus RNA-seq 32 samples Submitted 2026/04/01 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 32 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
32 samples: 8 conditions, mostly with about 4 replicates eachGroups 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.
Summary (written by the submitters)
The development of vision is dependent upon precise regulation of cell fate specification. In the mammalian retina, a single pool of multipotent progenitor cells becomes competent to produce the seven major retinal cell classes in distinct but overlapping windows. MicroRNAs (miRNAs) have been implicated in controlling retinal progenitor competence and risk for retinal disease, but it is still unclear which individual miRNAs drive this regulation.
Read the full summary ↓
Using immunohistochemistry and single-nuclei RNA-sequencing of miR-9-2 enhancer and miR-9-2 knockout mice, we find that specific disruption of miR-9-2, one of three mammalian miR-9 paralogs, delays the emergence of late-born retinal cell classes and leads to misspecification of Müller glial cells to a hybrid neuronal-glial fate. Further, we identify transcription factors and gene regulatory networks directly regulated by miR-9-2 during this process. Thus, this study provides insight into the regulation of the timing of retinal progenitor competence and the risk for retinal disease.
This dataset
Open GSE325932 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 GSE325932_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1442636 and SRA study SRP686467. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly with about 4 replicates each
3-week retina, wildtype, biol ×5 3-week retina, miR-9-2 knockout, biol ×5 E16.5 retina, wildtype, biol ×4 E16.5 retina, miR-9-2 knockout, biol ×4 P0 retina, wildtype, biol ×4 P0 retina, miR-9-2 knockout, biol ×4 5-week retina, wildtype, biol ×3 5-week retina, miR-9-2 enhancer knockout, biol ×3

Supports a case/control comparison: 16 samples read as cases, 16 as controls.

How we read this: 8 replicated groups read from 32 sample titles; they account for 32 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.