Human spinal cord organoids recapitulate developmental and disease-associated oligodendrocyte lineage signatures [RNA-Seq]
RNA-seq (gene expression) · human · 47 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
- 47 samples: 23 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.
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 GSE316395_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 PRJNA1402439. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 46 samples.
How we read this: 23 replicated groups read from 47 sample titles; they account for 46 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.
- GSM9451644 hSpO - d75 - Line 1 - 1 hSpO - d75 - Line 1
- GSM9451645 hSpO - d75 - Line 1 - 2 hSpO - d75 - Line 1
- GSM9451646 hSpO - d75 - Line 2 - 1 hSpO - d75 - Line 2
- GSM9451647 hSpO - d75 - Line 2 - 2 hSpO - d75 - Line 2
- GSM9451648 hSpO - d75 - Line 3 - 1 hSpO - d75 - Line 3
- GSM9451649 hSpO - d75 - Line 3 - 2 hSpO - d75 - Line 3
- GSM9451650 hSpO - d100 - Line 1 - 1 hSpO - d100 - Line 1
- GSM9451651 hSpO - d100 - Line 1 - 2 hSpO - d100 - Line 1
- GSM9451652 hSpO - d100 - Line 2 - 1 hSpO - d100 - Line 2
- GSM9451653 hSpO - d100 - Line 2 - 2 hSpO - d100 - Line 2
- GSM9451654 hSpO - d100 - Line 3 - 1 hSpO - d100 - Line 3
- GSM9451655 hSpO - d100 - Line 3 - 2 hSpO - d100 - Line 3
- GSM9451656 hSpO - d120 - Line 1 - 1 hSpO - d120 - Line 1
- GSM9451657 hSpO - d120 - Line 1 - 2 hSpO - d120 - Line 1
- GSM9451658 hSpO - d120 - Line 2 - 1 hSpO - d120 - Line 2
- GSM9451659 hSpO - d120 - Line 2 - 2 hSpO - d120 - Line 2
- GSM9451660 hSpO - d120 - Line 3 - 1 hSpO - d120 - Line 3
- GSM9451661 hSpO - d120 - Line 3 - 2 hSpO - d120 - Line 3
- GSM9451662 hSpO - d150 - Line 1 - 1 hSpO - d150 - Line 1
- GSM9451663 hSpO - d150 - Line 1 - 2 hSpO - d150 - Line 1
- GSM9451664 hSpO - d150 - Line 2 - 1 hSpO - d150 - Line 2
- GSM9451665 hSpO - d150 - Line 2 - 2 hSpO - d150 - Line 2
- GSM9451666 hSpO - d150 - Line 3 - 1 hSpO - d150 - Line 3
- GSM9451667 hSpO - d150 - Line 3 - 2 hSpO - d150 - Line 3
- GSM9451668 hSpO - d200 - Line 1 - 1 hSpO - d200 - Line 1
- GSM9451669 hSpO - d200 - Line 1 - 2 hSpO - d200 - Line 1
- GSM9451670 hSpO - d200 - Line 2 - 1 hSpO - d200 - Line 2
- GSM9451671 hSpO - d200 - Line 2 - 2 hSpO - d200 - Line 2
- GSM9451672 hSpO - d200 - Line 3 - 1 hSpO - d200 - Line 3
- GSM9451673 hSpO - d200 - Line 3 - 2 hSpO - d200 - Line 3
- GSM9451674 Primary - Vehicle - Sample 1 - 1 Primary - Vehicle - Sam…
- GSM9451675 Primary - Vehicle - Sample 1 - 2 Primary - Vehicle - Sam…
- GSM9451676 Primary - TIC - Sample 1 - 1
- GSM9451677 Primary - IFNG - Sample 1 - 1 Primary - IFNG - Sample…
- GSM9451678 Primary - IFNG - Sample 1 - 2 Primary - IFNG - Sample…
- GSM9451679 Primary - Vehicle - Sample 2 - 1 Primary - Vehicle - Sam…
- GSM9451680 Primary - Vehicle - Sample 2 - 2 Primary - Vehicle - Sam…
- GSM9451681 Primary - TIC - Sample 2 - 1 Primary - TIC - Sample 2
- GSM9451682 Primary - TIC - Sample 2 - 2 Primary - TIC - Sample 2
- GSM9451683 Primary - IFNG - Sample 2 - 1 Primary - IFNG - Sample…
+ 7 more — browse all 47 samples with per-sample file links →
- GSE236379 Hypoxia Triggers Signatures of Maladaptive Repair in Human Kidney Organoids [bulk RNA-seq] 12 samples shares signatures, organoids, rna-seq
- GSE330130 A multi-omics characterization of the human lumbar spinal cord and motor cortex reveals non-overlapping molecular signatures in ALS [snRNA-Seq; snATAC-Seq] 87 samples shares signatures, rna-seq, spinal
- GSE328391 Airway immune signatures of protection and disease progression in recent human tuberculosis household contacts [bulk RNA-seq] 125 samples shares signatures, rna-seq
- GSE281562 Unique epigenomic signatures identify biologically significant subtypes of MDS and predict response to azacytidine [RNA-Seq] 83 samples shares signatures, rna-seq
- GSE323965 Transcriptional signatures indicating RB function may predict response to CDK4/6 inhibition in endometrial cancer [RNA-Seq] 39 samples shares signatures, rna-seq
- GSE305125 Molecular Signatures of Peripheral and Central Dental Pulp Subpopulations in Response to Streptococcus mutans: A Bulk RNA-Seq Analysis 36 samples shares signatures, rna-seq
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples shares signatures, rna-seq
- GSE290220 TL1A-activated Tcells as upstream regulators of perianal fistulizing disease-associated changes in the rectum of Crohn's Disease patients [scRNA-seq] 29 samples shares disease-associated, rna-seq
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.