Panetti et al. 2025
Scripts for the analysis of the manuscript of the single-cell RNAseq data.
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+.
The processed and raw datasets can be found and downloaded in Zenodo.
tigit-full-dataset.rds: contains the full processed dataset ~198645 cells and 25906 genes formatted as a Seurat (v5) object
There are several 10x runs per condition (technical replicates)
KO_Lung_LCMV KO_Lung_Naive KO_Spleen_LCMV KO_Spleen_Naive WT_Lung_LCMV 4 2 6 5 4 WT_Lung_Naive WT_Spleen_LCMV WT_Spleen_Naive 3 6 4
Nikos Patikas 2025
This code is released under GPL v2 license