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Engineered T cell therapy for central nervous system injury [FACS-Tcells]

GSE216388 Mus musculus (mouse) Single-cell RNA-seq 192 samples Submitted 2024/07/23 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 192 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
Mus musculus (mouse)
Samples
192 samples: 16 conditions, mostly with about 12 replicates eachGroups 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
Engineered T cell therapy for central nervous system injuryNature · 2024
Summary (written by the submitters)
Traumatic injuries to the central nervous system (CNS) affect millions of people worldwide yet lack an effective treatment. These injuries contain infiltrating immune cells that can promote tissue repair and could be exploited for therapeutic benefit. Here, using single-cell RNA-sequencing of T cells infiltrating the injured CNS we demonstrate their clonal expansion and antigen specificity towards CNS derived self-peptides.
Read the full summary ↓
We confirm the beneficial effect of these injury-associated autoimmune CD4+ T cells in murine models of optic nerve and spinal cord injury. Subsequently, using mRNA-based transient T cell receptor (TCR) reconstitution, we demonstrate a therapeutic T cell strategy to alleviate CNS injury. Treatment of CNS-injured mice with this therapy improved locomotion and alleviated histological signs of damage, through regulation of myeloid cells, without detrimental autoimmune side effects. This strategy provides a means of developing custom-designed T cell therapies for CNS injury, and possibly for other neurodegenerative disorders.
Published in
Engineered T cell therapy for central nervous system injury
Gao W, Kim MW, Dykstra T et al. · Nature 2024 · PMID 39232158 · doi:10.1038/s41586-024-07906-y
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE216388_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA893393 and SRA study SRP404117. Searching any of these in the dataset finder brings you back here.

Study design
16 conditions, mostly with about 12 replicates each
Spinal Cord A ×12 Spinal Cord B ×12 Spinal Cord C ×12 Spinal Cord D ×12 Spinal Cord E ×12 Spinal Cord F ×12 Spinal Cord G ×12 Spinal Cord H ×12 +8 more

Supports a between-group comparison across 192 samples.

How we read this: 16 replicated groups read from 192 sample titles; they account for 192 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.

Samples in this study

+ 152 more — browse all 192 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.