The co-inhibitory receptor TIGIT promotes tissue protective functions in T cells
Description
TIGIT KO and wild-type mouse T cells were sorted and collected from the lung and spleen in steady state and LCMV conditions. Briefly, cells were sorted into three sub-populations and subsequently pooled for scRNAseq. The individual subpopulations were CD3+/CD8+, CD3+/CD4+/Foxp3-, and CD3+/CD4+/Foxp3+.
tigit-full-dataset.rds: contains the full processed dataset ~198645 cells and 25906 genes formatted as a Seurat (v5) object.
Alternatively, the raw data plus the associated metadata can be loaded with the following 3 files:
tigit-raw-counts.mtx.gz: A sparse count matrix used in the Seurat object above. The matrix was stored as a matrix market format and was subsequently gzipped. The matrix is expected to have 198645 cells and 25906 features.
cell-metadata.csv: Cell metadata found in the seu@meta.data slot of the Seurat object.
gene-metadata.csv: gene metadata of the scRNAseq experiment as found in the seu@assays$RNA@meta.features slot of the Seurat object.
Files
cell-metadata.csv
Additional details
Software
- Repository URL
- https://github.com/hemberg-lab/tigit-paper-figures
- Programming language
- R