Myelin antigen capture in the CNS by B cells expressing EBV latent membrane protein 1 leads to demyelinating lesion formation [scRNA-Seq]
Single-cell RNA-seq · mouse · 14 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
- 14 samples: 14 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
- Myelin antigen capture in the CNS by B cells expressing EBV latent membrane protein 1 leads to demyelinating lesion formationCell · 2026
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 GSE286541_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 PRJNA1209885 and SRA study SRP556981. 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 14 sample titles: 14 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.
- GSM8729025 Library A, Experiment 1, Gene expression
- GSM8729026 Library A, Experiment 1, HTO
- GSM8729027 Library B, Experiment 1, Gene expression
- GSM8729028 Library B, Experiment 1, HTO
- GSM8729029 Library C, Experiment 1, Gene expression
- GSM8729030 Library C, Experiment 1, HTO
- GSM8729031 Library A-LN, Experiment 2, Gene expression
- GSM8729032 Library A-Brain, Experiment 2, Gene expression
- GSM8729033 Library B-LN, Experiment 2, Gene expression
- GSM8729034 Library B-Brain, Experiment 2, Gene expression
- GSM8729035 Library A-LN, Experiment 2, HTO
- GSM8729036 Library A-Brain, Experiment 2, HTO
- GSM8729037 Library B-LN, Experiment 2, HTO
- GSM8729038 Library B-Brain, Experiment 2, HTO
- GSE311963 CD38 endows local antigen-specific Foxp3+ Treg cells with stress resilience for compartmentalized control of CNS inflammation 68 samples shares cns, antigen
- GSE251784 ECM29/Proteasome-Mediated Self-Antigen Generation by CNS-Resident Neuroglia Promotes Regulatory T Cell Activation 47 samples shares cns, antigen
- GSE225367 GPR124 regulates murine CNS angiogenesis and blood-brain barrier formation by an intracellular domain-independent mechanism 12 samples shares cns, formation
- GSE222227 Induced regulatory B cells stably expressing IL-10 cure CNS autoimmunity by targeting microglia 22 samples shares cns, expressing
- GSE287341 Dynamic Reprogramming of Stromal Pdgfra-expressing cells during WNT-Mediated Transformation of the Intestinal Epithelium [Figure 5] 12 samples shares expressing, formation
- GSE291710 Macrophages expressing Macrophage Receptor with Collagen Structure Attenuate Liver Fibrosis Through a Tissue Restoration Phenotype [macrophage_liverFibrosis_scRNA-seq] 10 samples shares expressing, scrna-seq
- GSE244474 T cell - DAM feedback loop drives CNS inflammation and neurodegenration in SPG15 at an early age via CCR5-CCL5 interaction [CD3+] 1135 samples shares cns
- GSE244086 MMPs and NETs are detrimental in CNS-tuberculosis with MMP inhibitor doxycycline improving murine CNS-tuberculosis survival (mouse) 69 samples shares cns
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.