Forebrain assembloids support the development of fast-spiking human PVALB+ cortical interneurons and uncover schizophrenia-associated defects.
RNA-seq (gene expression) · human · 10 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
- 10 samples: 10 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.
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 GSE250482_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: 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 PRJNA1054144 and SRA study SRP478790. 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 10 sample titles: 10 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.
- GSM7979671 MEL1_dFB_d75
- GSM7979672 MEL1_vFB_d75
- GSM7979673 MEL1_Control1_d60
- GSM7979674 22q11_del_1_d60
- GSM7979675 MEL1_Control2_d60
- GSM7979676 22q11_del_2_d60
- GSM7979677 MEL1_Control_1_d125
- GSM7979678 15q13_del_1_d125
- GSM7979679 MEL1_Control_2_d125
- GSM7979680 15q13_del_2_d125
- GSE244189 Transcriptomic analysis of ASD and IDD associated pathogenic MYT1L S707Q mutation in human cortical interneurons 24 samples shares interneurons, cortical
- GSE46098 Directed differentiation of human pluripotent stem cells into cortical interneurons 12 samples shares interneurons, cortical
- GSE244185 MYT1L genome-wide occupancy in human pluripotent stem cell-derived cortical interneurons 6 samples shares interneurons, cortical
- GSE226482 Single cell RNA sequencing of spinal motor neurons and interneurons differentiated from isogenic FUS and TARDBP human induced pluripotent stem cell lines harbouring ALS-causative mutations 1415 samples shares interneurons
- GSE326651 in vivo human embryonic spinal cord atlas validates stem cell-derived human dorsal interneurons and reveals ASD spinal signatures [day0NMP_bulk RNAseq] 15 samples shares interneurons
- GSE326655 in vivo human embryonic spinal cord atlas validates stem cell-derived human dorsal interneurons and reveals ASD spinal signatures [day43NMP_scRNAseq] 12 samples shares interneurons
- GSE263894 Functional Schizophrenia-associated genetic variant near the TSNARE1 and ADGRB1 genes 9 samples shares schizophrenia-associated
- GSE326654 in vivo human embryonic spinal cord atlas validates stem cell-derived human dorsal interneurons and reveals ASD spinal signatures [day27NMP_scRNAseq] 8 samples shares interneurons
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.