The co-inhibitory receptor TIGIT promotes tissue protective functions in T cells

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 [e-mail] slot of the Seurat object. gene-metadata.csv: gene metadata of the scRNAseq experiment as found in the seu@assays$[e-mail] slot of the Seurat object.TIGIT敲除（TIGIT knockout, TIGIT KO）与野生型小鼠T细胞，分别在稳态及淋巴细胞脉络丛脑膜炎病毒（Lymphocytic Choriomeningitis Virus, LCMV）条件下，从肺与脾脏中分选收集。简言之，细胞被分为三个亚群后合并，用于单细胞RNA测序（single-cell RNA sequencing, scRNAseq）。三个亚群具体为CD3+/CD8+、CD3+/CD4+/Foxp3-及CD3+/CD4+/Foxp3+。 tigit-full-dataset.rds：包含完整处理后的数据集，共计约198645个细胞与25906个基因，格式为Seurat（v5）对象。 此外，也可通过以下3个文件加载原始数据及关联元数据： 1. tigit-raw-counts.mtx.gz：上述Seurat对象所使用的稀疏计数矩阵。该矩阵以矩阵市场格式存储并经gzip压缩，预期包含198645个细胞与25906个特征。 2. cell-metadata.csv：对应Seurat对象中[e-mail]槽位的细胞元数据。 3. gene-metadata.csv：对应Seurat对象中seu@assays$[e-mail]槽位的单细胞RNA测序实验基因元数据。