GEO series

Overexpression of Meis factors in late-stage retinal progenitors yields complex effects on temporal patterning and neurogenesis.

GSE295688 Mus musculus (mouse) Single-cell RNA-seq 20 samples Submitted 2025/10/07 Platform GPL24247

At a glance

Single-cell RNA-seq · mouse · 20 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. 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: 20 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: Overexpression of Meis factors in late-stage retinal progenitors yields complex effects on temporal patterning and neurogenesisScientific reports · 2025

Summary (written by the submitters)

The vertebrate retina serves as a model for studying neurogenesis and cell fate specification, with retinal progenitor cells following a tightly regulated temporal sequence to generate distinct cell types. Meis1 and Meis2 are transcription factors implicated in early retinal development, but their role in late-stage RPCs remains poorly understood.

Read the full summary ↓

Here, we investigate whether Meis1 and Meis2 overexpression in postnatal mouse RPCs can alter temporal identity and induce early-born cell types. Using electroporation and single-cell RNA sequencing, we find that while these factors modestly upregulate early-stage gene regulatory network components, they do not repress late-stage transcription factors or induce early-born retinal cells. Meis1 overexpression reduces proliferation and inhibits neurogenesis, whereas Meis2 overexpression accelerates neurogenic progression without altering fate commitment. Our findings suggest that overexpression of Meis1 and Meis2 modulate largely non-overlapping aspects of temporal identity and neurogenic competence but are insufficient to fully reprogram late-stage progenitors. These results have implications for regenerative strategies aimed at reprogramming retinal cells for therapeutic purposes.

Published in

Overexpression of Meis factors in late-stage retinal progenitors yields complex effects on temporal patterning and neurogenesis

Leavey P, Jiang L, Pannullo N et al. · Scientific reports 2025 · PMID 41331083 · doi:10.1038/s41598-025-31061-7

This dataset

Open GSE295688 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 GSE295688_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 PRJNA1255593 and SRA study SRP581350. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41331083) ↗

Samples in this study

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+ 20 more — browse all 20 samples with per-sample file links →

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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.