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Reproducibility of PD patient-specific midbrain organoid data for in vitro disease modelling (timepoints)

GSE269316 Homo sapiens (human) RNA-seq (gene expression) 48 samples Submitted 2025/09/18 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 48 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
48 samples: 24 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.
Paper
Reproducibility of PD patient-specific midbrain organoid data for in vitro disease modelingiScience · 2025
Summary (written by the submitters)
Midbrain organoids are advanced in vitro cellular models for disease modelling. They have been used successfully over the past decade for Parkinson’s disease (PD) research and drug development. The three-dimensional structure and multicellular composition allow disease research under more physiological conditions than is possible with conventional 2D cellular models.
Read the full summary ↓
However, there are concerns in the field regarding the organoid batch-to-batch variability and thus the reproducibility of the results. In this manuscript, we generate multiple independent midbrain organoid batches derived from healthy individuals or GBA-N370S mutation-carrying PD patients to evaluate the reproducibility of the GBA-N370S mutation-associated PD transcriptomic and metabolic signature as well as selected protein abundance. Our analysis shows that GBA-PD-associated phenotypes are reproducible across organoid generation batches and time points. This proves that midbrain organoids are not only suitable for PD in vitro modelling, but also represent robust and highly reproducible cellular models.
Published in
Reproducibility of PD patient-specific midbrain organoid data for in vitro disease modeling
Zuccoli E, Al Sawaf H, Tuzza M et al. · iScience 2025 · PMID 41050933 · doi:10.1016/j.isci.2025.113541
This dataset
Open GSE269316 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 GSE269316_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 PRJNA1121199 and SRA study SRP512381. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41050933) ↗
Study design
24 conditions, mostly in duplicate
GBA1_B1_D ×2 GBA1_B2_D ×2 GBA1_B3_D ×2 GBA1_B4_D ×2 GBA2_B1_D ×2 GBA2_B2_D ×2 GBA2_B3_D ×2 GBA2_B4_D ×2 +16 more

Supports a between-group comparison across 48 samples.

How we read this: 24 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.