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Functional reconstitution of adrenocortical transdifferentiation from human pluripotent stem cells

GSE291218 Homo sapiens (human) RNA-seq (gene expression) 17 samples Submitted 2026/05/05 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 17 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
17 samples: 13 distinct titles, 4 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
Modeling human prenatal adrenocortical functional zonation dynamics from pluripotent stem cellsCell stem cell · 2026
Summary (written by the submitters)
Proper prenatal adrenal cortex development is essential to prevent life-threatening adrenal insufficiency. This process relies on self-renewing progenitor cells within a capsule (Cap)-derived niche of the definitive zone (DZ) and trans-differentiation into cortisol-producing transitional and androgen-producing fetal zones. However, species-specific limitations in rodent models hinder mechanistic insights.
Read the full summary ↓
To address this, we developed a human iPSC-derived organoid system that mimics prenatal adrenal development. Our advanced platform efficiently generates DZ-like cells (DZLCs) and Cap-like cells (CapLCs), revealing that DZLCs arise from adrenal primordium-like cells (APLCs) and are sustained via CapLC-derived RSPO3/WNT signaling. These DZLCs trans-differentiate into transitional and fetal zone-like cells (FZLCs) through ACTH and RSPO3 signaling. Notably, NR0B1 loss impairs DZLC specification while driving direct APLC-to-FZLC conversion, recapitulating NR0B1 mutation-associated X-linked adrenal hypoplasia congenita. Notably, DZLCs encapsulated with CapLCs form ACTH-responsive, cortisol-producing cortical tissue in vivo, demonstrating therapeutic potential. These organoid models offer a powerful platform for adrenal research and lay the groundwork for cell-based therapies for adrenal insufficiency.
Published in
Modeling human prenatal adrenocortical functional zonation dynamics from pluripotent stem cells
Mayama M, Whelan EC, Sato T et al. · Cell stem cell 2026 · PMID 41795428 · doi:10.1016/j.stem.2026.02.002
This dataset
Open GSE291218 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 GSE291218_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 PRJNA1232332 and SRA study SRP568198. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41795428) ↗
Study design
13 distinct titles, 4 of them repeated
APLC_CapLC_tx_d ×2 DZLC_d ×2 adult_adrenal_17yo ×2 fetal_adrenal_8wpf ×2

How we read this: Read from 17 sample titles: 13 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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