Epigenetic, ribosomal, and immune dysregulation in Paediatric Acute Neuropsychiatric Syndrome [RNA-Seq]
Single-cell RNA-seq · human · 28 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 28 samples: 10 × Control vs 9 × PostIVIG vs 9 × PreIVIGGroups 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
- Epigenetic, ribosomal, and immune dysregulation in paediatric acute-onset neuropsychiatric syndromeMolecular psychiatry · 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 GSE278678_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 PRJNA1168401 and SRA study SRP536368. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 28 samples.
How we read this: 3 replicated groups read from 28 sample titles; they account for 28 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.
- GSM8552785 Control1 Control
- GSM8552786 Control2 Control
- GSM8552787 Control3 Control
- GSM8552788 Control4 Control
- GSM8552789 Control5 Control
- GSM8552790 Control6 Control
- GSM8552791 Control7 Control
- GSM8552792 Control8 Control
- GSM8552793 Control9 Control
- GSM8552794 Control10 Control
- GSM8552795 PostIVIG1 PostIVIG
- GSM8552796 PostIVIG2 PostIVIG
- GSM8552797 PostIVIG3 PostIVIG
- GSM8552798 PostIVIG4 PostIVIG
- GSM8552799 PostIVIG5 PostIVIG
- GSM8552800 PostIVIG6 PostIVIG
- GSM8552801 PostIVIG7 PostIVIG
- GSM8552802 PostIVIG8 PostIVIG
- GSM8552803 PostIVIG9 PostIVIG
- GSM8552804 PreIVIG1 PreIVIG
- GSM8552805 PreIVIG2 PreIVIG
- GSM8552806 PreIVIG3 PreIVIG
- GSM8552807 PreIVIG4 PreIVIG
- GSM8552808 PreIVIG5 PreIVIG
- GSM8552809 PreIVIG6 PreIVIG
- GSM8552810 PreIVIG7 PreIVIG
- GSM8552811 PreIVIG8 PreIVIG
- GSM8552812 PreIVIG9 PreIVIG
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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.