Single cell approaches define forebrain neural stem cell niches and identify microglial ligands that enhance precursor-mediated remyelination (scRNA-Seq)
Single-cell RNA-seq · mouse · 10 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 10 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.
- Paper
- Single cell approaches define neural stem cell niches and identify microglial ligands that can enhance precursor-mediated oligodendrogenesisCell reports · 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 GSE266687_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 PRJNA1117816 and SRA study SRP510503. 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.
+ 10 more — browse all 10 samples with per-sample file links →
- GSE278199 Microglia regulate cortical remyelination via ΤNFR1-dependent phenotypic polarization [scRNA-Seq] 45 samples shares remyelination, scrna-seq
- GSE316754 Senolytic approaches enhance chemotherapy immunogenicity in prostate cancer 24 samples shares approaches, enhance
- GSE263625 Microglial reprogramming enhances antitumor immunity and immunotherapy response in melanoma brain metastases 19 samples shares microglial, enhance
- GSE307686 The Gain-of-Function TREM2-T96K Mutation Increases Risk for Alzheimer’s Disease by Impairing Microglial Function [scRNA-Seq] 15 samples shares microglial, scrna-seq
- GSE281947 Age-impaired remyelination is associated with dysregulated microglial transitions. 12 samples shares remyelination, microglial
- GSE264553 An inducible genetic tool for tracking and manipulating specific microglial states in development and disease 2634 samples shares microglial
- GSE254229 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in mice 141 samples shares microglial
- GSE276761 IL-10-dependent Treg-microglia crosstalk induced by nasal anti-CD3 mAb ameliorates traumatic brain injury by modulating microglial phagocytosis and neuroinflammation. 136 samples shares microglial
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.