Aberrant pace of cortical neuron development in brain organoids from patients with 22q11.2 deletion syndrome and schizophrenia. [scRNA-Seq]
Single-cell RNA-seq · human · 12 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
- Aberrant pace of cortical neuron development in brain organoids from patients with 22q11.2 deletion syndrome-associated schizophreniaNature communications · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE244005_RAW.tar (it can run to tens of gigabytes).
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: 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 PRJNA1020881 and SRA study SRP463067. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 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.
- GSM7804653 Q2, control, 70DIV
- GSM7804654 Q1, case, 70DIV
- GSM7804655 Q5, control, 70DIV
- GSM7804656 Q6, case, 70DIV
- GSM7804657 QR20, control, 70DIV
- GSM7804658 QR27, case, 70DIV
- GSM7804659 Q2, control
- GSM7804660 Q1, case
- GSM7804661 Q5, control, 150DIV
- GSM7804662 Q6, case, 150DIV
- GSM7804663 QR20, control, 150DIV
- GSM7804664 QR27, case, 150DIV
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- GSE289912 APOE4 impacts cortical neurodevelopment and alters network formation in human brain organoids 32 samples shares organoids, cortical
- GSE292624 Dissociated human cerebral organoids on micro-electrode arrays develop neuronal networks 13 samples shares organoids, neuron
- GSE304228 Elucidating the role of DEAF1 in neurodevelopment and shared molecular pathways in high-risk autism genes using cortical organoids 11 samples shares organoids, cortical
- GSE309595 Longitudinal Analysis of Multiple Myeloma: Therapeutic Response and Immune Microenvironment Dynamics in the Context of Tumor Heterogeneity [scRNA-seq] 270 samples shares scrna-seq
- GSE234181 Long-term multi-modal recording reveals epigenetic adaptation routes in dormant breast cancer cells [scRNA-Seq] 184 samples shares scrna-seq
- GSE243841 Peripheral mRNA expression of first-episode drug-naïve patients with schizophrenia 181 samples shares schizophrenia
- GSE334500 Psychotropic-drug and neurotransmitter perturbation RNA-seq of human iPSC-derived cardiac and retinal organoids (ToxiPred) 96 samples shares organoids
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.