Clonally expanded targetable natural killer-like T cells seed the aged spinal cord to disrupt wound healing [scRNA-seq]
Single-cell RNA-seq · mouse · 18 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
- 18 samples: 6 conditions, mostly in triplicateGroups 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
- Clonally expanded, targetable, natural killer-like NKG7 T cells seed the aged spinal cord to disrupt myeloid-dependent wound healingNeuron · 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 GSE281205_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 PRJNA1180700 and SRA study SRP543152. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8614659 Young-naïve, replicate 1 Young-naïve,
- GSM8614660 Young-naïve, replicate 2 Young-naïve,
- GSM8614661 Young-naïve, replicate 3 Young-naïve,
- GSM8614662 Young-14dpi, replicate 1 Young-14dpi,
- GSM8614663 Young-14dpi, replicate 2 Young-14dpi,
- GSM8614664 Young-14dpi, replicate 3 Young-14dpi,
- GSM8614665 Young-28dpi, replicate 1 Young-28dpi,
- GSM8614666 Young-28dpi, replicate 2 Young-28dpi,
- GSM8614667 Young-28dpi, replicate 3 Young-28dpi,
- GSM8614668 Old-naïve, replicate 1 Old-naïve,
- GSM8614669 Old-naïve, replicate 2 Old-naïve,
- GSM8614670 Old-naïve, replicate 3 Old-naïve,
- GSM8614671 Old-14dpi, replicate 1 Old-14dpi,
- GSM8614672 Old-14dpi, replicate 2 Old-14dpi,
- GSM8614673 Old-14dpi, replicate 3 Old-14dpi,
- GSM8614674 Old-28dpi, replicate 1 Old-28dpi,
- GSM8614675 Old-28dpi, replicate 2 Old-28dpi,
- GSM8614676 Old-28dpi, replicate 3 Old-28dpi,
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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.