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Specification of a rostro-caudal axis in cortical assembloids through a polarized source of FGF8 (bulk RNA-Seq)

GSE231318 Homo sapiens (human) RNA-seq (gene expression) 21 samples Submitted 2024/05/03 Platform GPL18573Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 21 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
21 samples: 15 distinct titles, 3 of them repeatedGroups 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.
Paper
A polarized FGF8 source specifies frontotemporal signatures in spatially oriented cell populations of cortical assembloidsNature methods · 2024
Summary (written by the submitters)
Current organoid protocols are widely used to mechanistically study cortical development, evolution and brain pathologies. While these systems generate all major cortical cell types in histologically distinct compartments, they lack cortical area topography, which is initiated by gradients of signaling molecules released by signaling organizers that establish transcriptionally distinct domains along the rostro-caudal axis of the developing cortex.
Read the full summary ↓
Here, we engineer human cortical assembloids that combine an organizer-like structure expressing FGF8 with an elongated organoid design to enable the controlled modulation of FGF8 signaling along the longitudinal organoid axis. We demonstrate that individual polarized cortical assembloids (polCA) mount a position-dependent transcriptional program that matches the in vivo rostro-caudal gene expression patterns. Importantly, positional identity is lost in polCA carrying a mutation in the FGFR3 gene associated with temporal lobe malformations and intellectual disability in humans. Similar to in vivo, this program is accompanied by transcriptional divergence of radial glia cells and excitatory neurons and their segregation along the longitudinal axis of individual organoids. Thus, this method reproduces in vivo cortical topography in individual organoids and enables the analysis of area-related phenotypes underlying human disorders.
Published in
A polarized FGF8 source specifies frontotemporal signatures in spatially oriented cell populations of cortical assembloids
Bosone C, Castaldi D, Burkard TR et al. · Nature methods 2024 · PMID 39294368 · doi:10.1038/s41592-024-02412-5
This dataset
Open GSE231318 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 GSE231318_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: 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 PRJNA963210 and SRA study SRP435181. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39294368) ↗
Study design
15 distinct titles, 3 of them repeated
H9FF CONTROL2_segment ×3 H1FF CONTROL3_segment ×3 iPSC 176/1 CONTROL4_segment ×3

Supports a case/control comparison: 3 samples read as cases, 9 as controls.

How we read this: Read from 21 sample titles: 15 distinct titles with little repetition. 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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