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Tissue Block-Resolved Spatiotemporal Transcriptomic Atlas of Human Fetal Brainstem Reveals Gene Modules and Paradigms Linked to Neurological Disorders

GSE307537 Homo sapiens (human) RNA-seq (gene expression) 107 samples Submitted 2025/12/17 Platform GPL29480
At a glance

RNA-seq (gene expression) · human · 107 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
107 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
Tissue block-resolved developmental transcriptomic atlas of human fetal brainstem reveals gene modules with implications for neurological disordersFrontiers in cell and developmental biology · 2025
Summary (written by the submitters)
The brainstem serves as a critical structural and functional hub connecting cerebral and spinal regions, yet its gene regulatory dynamics during fetal development remain poorly characterized. This study employed RNA-seq to map spatiotemporal transcriptomes across 107 tissue blocks from 18 human fetal brainstems (gestational weeks 9-33).
Read the full summary ↓
Weighted gene co-expression network analysis (WGCNA) identified 22 functionally annotated modules. We quantitatively assessed their spatiotemporal activity gradients across developmental stages and anatomical subdomains, systematically classifying genes with significant temporal trajectories by phase-specific signatures. Crucially, we validated expression patterns of neurodevelopmental disorder-associated genes (e.g., Parkinson's, ALS, schizophrenia) within fetal brainstem tissues. Our integrated approach constructs a developmental transcriptomic profile, revealing stage-specific regulatory networks and dynamic transcriptional trajectories governing ontogeny. This work advances understanding of brainstem development and provides a foundational resource for neurological disorder research.
Published in
Tissue block-resolved developmental transcriptomic atlas of human fetal brainstem reveals gene modules with implications for neurological disorders
Liu C, Zhou W, Xing X et al. · Frontiers in cell and developmental biology 2025 · PMID 41394403 · doi:10.3389/fcell.2025.1674967
This dataset
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.

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 GSE307537_RAW.tar (it can run to tens of gigabytes).

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.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1321945 and SRA study SRP618496. Searching any of these in the dataset finder brings you back here.

Samples in this study

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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.