iPSC derived motor neuron cultures from C9ORF72 carriers
RNA-seq (gene expression) · human · 8 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
- 8 samples: 8 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 GSE52202_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 PRJNA227155 and SRA study SRP032798. 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 8 sample titles: 8 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.
- GSM1261105 Control 00i
- GSM1261106 Control 03i
- GSM1261107 Control 14i
- GSM1261108 Control 83i
- GSM1261109 C9 28i
- GSM1261110 C9 29i
- GSM1261111 C9 30i
- GSM1261112 C9 52i
- GSE299997 Integrated profiling of iPSC-derived motor neurons carrying C9orf72, FUS, TARDBP, or SOD1 mutations 156 samples shares c9orf72, derived, neuron, motor, ipsc
- GSE249891 RNA seq in IPSCs derived dopaminergic neurons comparison of SNORD116MD versus control 12 samples shares derived, neuron, ipsc
- GSE334500 Psychotropic-drug and neurotransmitter perturbation RNA-seq of human iPSC-derived cardiac and retinal organoids (ToxiPred) 96 samples shares derived, ipsc
- GSE264120 Trastuzumab-associated cardiotoxicity in Patient Specific iPSC-derived cardiomyocytes from HER2+ breast cancer patients 74 samples shares derived, ipsc
- GSE200492 Transcriptomic Landscape of Human iPSCs-derived Osteogenic Differentiation Identifies a Key Regulator, KLF16 60 samples shares derived, ipsc
- GSE293037 Bulk transcriptome analysis of wildtype, TREM2 knockout, GPR34 knock-out or TREM2/GPR34 double knock-out iPSC-derived human microglia treated either with PBS or myelin. 32 samples shares derived, ipsc
- GSE298244 Bulk RNA-seq of iPSC-derived macrophages exposed to disease-relevant stimuli 30 samples shares derived, ipsc
- GSE217649 Bulk RNA sequencing for gene expression profileing of primary liver sinusoidal endothelial cells and iPSC-derived hepatic endoderm, septum mesenchymal cells, endothelial cells, and liver bud organoids 26 samples shares derived, ipsc
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.