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Distinct signalling centre and progenitor identity dynamics initiate human forebrain patterning

GSE326194 Homo sapiens (human) Single-cell RNA-seq 16 samples Submitted 2026/04/01 Platform GPL20301Platform GPL21103
At a glance

Single-cell RNA-seq · human · 16 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
Homo sapiens (human)
Samples
16 samples: 8 conditions, mostly in duplicateGroups 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)
At which developmental stage does the human brain start to differ from other mammals? We uncover human features of telencephalic patterning as early as the fourth post-conception week, comparing the early mouse and human forebrains using single-cell transcriptomics and 3D spatial multi-transcript imaging. In comparison to mice, the human telencephalon is delayed in ventral SHH signaling, accompanied by a human signature of anterior FGF signaling.
Read the full summary ↓
These observations correlate with a less-resolved patterning and reduced progenitor diversity along the dorsoventral and anteroposterior axes, as well as a human early neurogenic signature. Our complementary approaches reveal a human divergence in allocation of telencephalic progenitor identities, propelled by temporal and qualitative differences in ventro-anterior signals following neural tube closure in the developing forebrain.
This dataset
Open GSE326194 in finder → Find more 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 GSE326194_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 PRJNA1444109 and SRA study SRP687223. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly in duplicate
Mus musculus Telencephalon E10.5 ×2 Mus musculus Telencephalon E9.5 ×2 Mus musculus Telencephalon E11.5 ×2 Mus musculus Telencephalon E12.5 ×2 Homo sapiens Telencephalon CS17 ×2 Homo sapiens Telencephalon CS12 ×2 Homo sapiens Telencephalon CS13 ×2 Homo sapiens Telencephalon CS15 ×2

Supports a between-group comparison across 16 samples.

How we read this: 8 replicated groups read from 16 sample titles; they account for 16 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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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.