← BioTransfer GEO Dataset Finder
GEO series

Temporal Uncoupling of Radial Glial Progenitor Cell Lineage Progression in Self-organizing Organoid System – mTmG scRNA-Seq

GSE326044 Mus musculus Expression profiling by high throughput sequencing 5 samples Submitted 2026/06/29 Platform GPL34328
Summary
Radial glial progenitors (RGPs) produce all excitatory neurons in the developing cerebral cortex. Mosaic Analysis with Double Markers (MADM)-based lineage tracing in vivo revealed a quantitative framework of RGP lineage progression. Here we established MADM technology in embryonic stem cells to probe RGP lineage progression in self-organizing cortical organoid system. We found that RGPs exhibit high level of equipotency in organoid rather than temporally stereotyped lineage progression as observed in vivo. RGPs in organoids showed increased lineage restriction, diminishing cell-type diversity in clones of cortical projection neurons, despite uniform RGP scRNAseq transcriptional signatures and unitary lineage trajectory. Hence, critical non-cell-autonomous cues absent in self-organizing systems and/or genuine stem cell niche are essential for faithful RGP lineage progression and the generation of cortical cell-type diversity.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE326044_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 5 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1443219 and SRA study SRP686890. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 5 more — browse all 5 samples with per-sample file links →

Similar datasets

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.