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RAI1 safeguards fidelity and tempo of human neurodevelopmental gene expression

GSE337485 Homo sapiens (human) Single-cell RNA-seq 48 samples Submitted 2026/07/08 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 48 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
48 samples: 12 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)
Human brain development proceeds on an unusually long timeline, fostering the species' cognitive advantages. Retinoic Acid Induced 1 (RAI1) gene encodes a nucleosome-binding protein haploinsufficient in Smith–Magenis Syndrome (SMS), a neurodevelopmental disorder characterized by cognitive deficits with autistic features. However, the role of RAI1 in human neurodevelopment remains unexplored experimentally.
Read the full summary ↓
Here, we generated isogenic heterozygous and homozygous RAI1 loss-of-function human embryonic stem cell lines and interrogated the roles of RAI1 in neurodevelopmental gene regulation. A longitudinal transcriptome study during in vitro cortical development revealed that RAI1 deficiency accelerates developmental transcriptome progression, as indicated by the induction of synaptic genes. Single-cell RNA-seq analysis revealed that RAI1-deficient neuroprogenitors acquire a transient mesoderm-like gene expression signature followed by pro-neuronal maturation gene expression in postmitotic neurons. Unexpectedly, the developmental acceleration signature was exacerbated during NGN2-induced excitatory neuron differentiation, suggesting functional interplay between RAI1 and NGN2-driven programs. Together, these results identify RAI1 as a suppressor of the mesodermal lineage program and as a novel brake that slows the tempo of human neurodevelopmental gene expression.
This dataset
Open GSE337485 in finder → Find more human 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 GSE337485_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 PRJNA1489500 and SRA study SRP715011. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 conditions, mostly with about 4 replicates each
Rai1-het_d0 ×4 Rai1-het_d20 ×4 Rai1-het_d34 ×4 Rai1-het_d60 ×4 Rai1-ko_d0 ×4 Rai1-ko_d20 ×4 Rai1-ko_d34 ×4 Rai1-ko_d60 ×4 +4 more

Supports a between-group comparison across 48 samples.

How we read this: 12 replicated groups read from 48 sample titles; they account for 48 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

+ 8 more — browse all 48 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.