Published November 5, 2024 | Version v1
Dataset Open

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

Files (4.6 GB)

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md5:15cc3f7fafb95268d1e5e743444653ef
61.6 MB Preview Download
md5:5d8d929047c4e91b944e5a5b2cf35701
1.7 MB Preview Download
md5:3eb55330bcbda4f76fdf683cfdda3e71
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md5:de4193457422ac6d94be53eaa0f5b6f0
1.7 GB Download

Additional details

Software

Repository URL
https://github.com/hemberg-lab/tigit-paper-figures
Programming language
R