GSE279254 Processing Pipeline

RNA-Seq code_examples 1 step

Publication

Tissue-resident memory CD8 T cell diversity is spatiotemporally imprinted.

Nature (2025) — PMID 39843748

Dataset

GSE279254

Tissue-resident memory CD8 T Cell Diversity is Spatiotemporally Imprinted [snRNA-Seq]

Warning: Pipeline descriptions and code snippets may be inferred or AI-generated. Use them only as a starting point to guide analysis, and validate before use.
  1. 1

    cellranger was used to process the raw sequencing files to generate count matrices per cell

    Cell Ranger vNot specified
    $ Bash example
    # Install Cell Ranger (example for version 7.1.0)
    # wget https://cf.10xgenomics.com/releases/cell-ranger/cellranger-7.1.0.tar.gz
    # tar -xzf cellranger-7.1.0.tar.gz
    # export PATH=/path/to/cellranger-7.1.0:$PATH
    
    # Example: Download a human transcriptome reference (e.g., GRCh38-2020-A)
    # mkdir -p /path/to/references
    # wget -O /path/to/references/refdata-gex-GRCh38-2020-A.tar.gz https://cf.10xgenomics.com/releases/cell-ranger/refdata-gex-GRCh38-2020-A.tar.gz
    # tar -xzf /path/to/references/refdata-gex-GRCh38-2020-A.tar.gz -C /path/to/references
    
    # Define variables
    SAMPLE_ID="my_sample"
    FASTQ_DIR="/path/to/raw_fastqs"
    TRANSCRIPTOME_REF="/path/to/references/refdata-gex-GRCh38-2020-A"
    
    # Run cellranger count to generate count matrices
    cellranger count \
      --id=${SAMPLE_ID} \
      --transcriptome=${TRANSCRIPTOME_REF} \
      --fastqs=${FASTQ_DIR} \
      --sample=${SAMPLE_ID}
    
Raw Source Text
cellranger was used to process the raw sequencing files to generate count matrices per cell
Assembly: mm10
Supplementary files format and content: "h5ad" file containing combined total nuclei profiled from all mice and regions of the gastrointestinal tract
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