Single-cell elderly blood-CSF atlas implicates peripherally-influenced neuroinflammatory degeneration in normal pressure hydrocephalus
Single-cell RNA-seq · human · 20 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 20 samples: 20 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.
- Paper
- Single-cell elderly blood-CSF atlas implicates peripherally influenced immune dysregulation in normal pressure hydrocephalusProceedings of the National Academy of Sciences of the United States of America · 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 GSE292141_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 PRJNA1237269 and SRA study SRP570902. 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 20 sample titles: 20 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.
- GSM8851048 Patient 1 CSF High MOCA scRNAseq
- GSM8851049 Patient 1 PBMC High MOCA scRNAseq
- GSM8851050 Patient 2 CSF High MOCA scRNAseq
- GSM8851051 Patient 2 PBMC High MOCA scRNAseq
- GSM8851052 Patient 3 CSF High MOCA scRNAseq
- GSM8851053 Patient 3 PBMC High MOCA scRNAseq
- GSM8851054 Patient 4 CSF High MOCA scRNAseq
- GSM8851055 Patient 4 PBMC High MOCA scRNAseq
- GSM8851056 Patient 5 CSF High MOCA scRNAseq
- GSM8851057 Patient 5 PBMC High MOCA scRNAseq
- GSM8851058 Patient 6 CSF Unknown MOCA scRNAseq
- GSM8851059 Patient 6 PBMC Unknown MOCA scRNAseq
- GSM8851060 Patient 7 CSF Low MOCA scRNAseq
- GSM8851061 Patient 7 PBMC Low MOCA scRNAseq
- GSM8851062 Patient 8 CSF Low MOCA scRNAseq
- GSM8851063 Patient 8 PBMC Low MOCA scRNAseq
- GSM8851064 Patient 9 CSF Low MOCA scRNAseq
- GSM8851065 Patient 9 PBMC Low MOCA scRNAseq
- GSM8851066 Patient 10 CSF Low MOCA scRNAseq
- GSM8851067 Patient 10 PBMC Low MOCA scRNAseq
- GSE288106 Alterations in single-cell transcriptomic levels and cellular localisation of hnRNP proteins in Frontotemporal Lobar Degeneration 16 samples shares degeneration, single-cell
- GSE135922 Single-cell transcriptomics of the human retinal pigment epithelium and choroid in health and macular degeneration 14 samples shares degeneration, single-cell
- GSE271018 Single-cell RNA sequencing reveals the CRTAC1+ population actively contributes to the pathogenesis of spinal ligament degeneration by SPP1+ macrophage 9 samples shares degeneration, single-cell
- GSE251686 Single-cell sequencing reveals cellular heterogeneity of nucleus pulposus in intervertebral disc degeneration 6 samples shares degeneration, single-cell
- GSE244718 Hydrostatic pressure driven vascular degeneration in cirrhosis [6H] 4 samples shares degeneration, pressure
- GSE244720 Hydrostatic pressure driven vascular degeneration in cirrhosis [4H24H] 3 samples shares degeneration, pressure
- GSE324449 Single-cell transcriptomic profiling of SPAST exon 17 deletion–induced neurodegeneration in human cortical organoids 2 samples shares degeneration, single-cell
- GSE142449 Single-cell RNA sequencing in human retinal degeneration reveals distinct glial cell populations. 4 samples shares degeneration, single-cell
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.