Pathophysiology of microglial-driven neurodegeneration in Histiocytosis
Single-nucleus RNA-seq · human · 24 samples
- What it is
- Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). 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
- 24 samples: 20 distinct titles, 4 of them repeatedGroups 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
- Role of clonal inflammatory microglia in histiocytosis-associated neurodegenerationNeuron · 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 GSE273766_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 PRJNA1143029 and SRA study SRP523742. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 24 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.
- GSM8436620 1_histio_CEREBELLUM
- GSM8436621 1_control_CEREBELLUM
- GSM8436622 1_control_BRAINSTEM
- GSM8436623 2_control_HIPPOCAMPUS
- GSM8436624 2_control_BRAINSTEM
- GSM8436625 2_control_CORTEX
- GSM8436626 2_control_CORTEX2
- GSM8436627 3_control_CEREBELLUM
- GSM8436628 3_control_CORTEX
- GSM8436629 4_control_CEREBELLUM
- GSM8436630 4_control_CEREBELLUM2
- GSM8436631 1_histio_CORTEX
- GSM8436632 1_histio_HIPPOCAMPUS
- GSM8436633 1_histio_BRAINSTEM
- GSM8436634 1_histio_BRAINSTEM2
- GSM8436635 4_histio_CORTEX
- GSM8436636 4_histio_HIPPOCAMPUS
- GSM8436637 4_histio_BRAINSTEM
- GSM8436638 3_histio_CEREBELLUM
- GSM8436639 3_histio_BRAINSTEM
- GSM8436640 3_histio_BRAINSTEM2
- GSM8436641 5_histio_CORTEX
- GSM8436642 5_histio_BRAINSTEM
- GSM8436643 5_control_CEREBELLUM
- GSE287118 Multiomics identifies unique modulators of calf muscle pathophysiology in peripheral artery disease and chronic kidney disease 86 samples shares pathophysiology
- GSE287174 Patient-Derived Meningioma Organoids: A Reliable Model for Studying Human Tumor Pathophysiology 65 samples shares pathophysiology
- GSE302096 Mucus plugs-associated gene expression identifies pathophysiology shared with chronic bronchitis 48 samples shares pathophysiology
- GSE265940 Overexpression of extracellular matrix proteins, increased cell death and reduced cell proliferation contribute to the pathophysiology of microphthalmia across in vitro patient-derived models 48 samples shares pathophysiology
- GSE289534 A hexamer tandem repeat RNA embedded within an SVA retrotransposon drives R-loop formation and neurodegeneration 41 samples shares neurodegeneration
- GSE141578 CD4+ T cells contribute to neurodegeneration in Lewy body dementia [CSF_and_PBMCs_Healthy and LBD] 35 samples shares neurodegeneration
- GSE247407 Induction ofsteatosis in primary human hepatocytes manifests into hepatic pathophysiology of metabolic dysfunction-associated liver disease 30 samples shares pathophysiology
- GSE284387 DNMT1 RFTS mutation alters RNA splicing and drives neurodegeneration via its RNA-binding function [RNA-Seq] 26 samples shares neurodegeneration
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.