Elucidating the molecular pathology of DEPDC5 mutation induced mTOR-hyperactivation associated with epilepsy and autism spectrum disorder
RNA-seq (gene expression) · human · 36 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
- 36 samples
- 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 GSE240337_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 PRJNA1003403 and SRA study SRP453981. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 36 more — browse all 36 samples with per-sample file links →
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- GSE69529 Elucidating the etiology and molecular pathogenicity of infectious diarrhea by high throughput RNA sequencing 255 samples shares elucidating
- GSE320389 Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions 215 samples shares pathology
- GSE320381 Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions [HTAN cohort] 145 samples shares pathology
- GSE324265 Contribution of cytotoxic CD8 T cells, neutrophils and type 1 interferon signaling to hyperinflammatory pathology in HIV associated TB meningitis [RNA-Seq] 125 samples shares pathology
- GSE240766 SARS-CoV-2 infection of human pluripotent stem cell-derived vascular cells reveals smooth muscle cells as key mediators of vascular pathology during infection 101 samples shares pathology
- GSE300258 Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions [DECAMP cohort] 70 samples shares pathology
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.