关键词:
T cells
scRNA-seq
T cell subtypes and states
Reference
Annotation tool
Database
摘要:
T cells have various subtypes and states with different ***,a reference list and automated annotation tool for T cell subtypes and states are lacking,which is critical for analyzing and comparing T cells under various *** constructed the largest human T cell reference,containing 1,348,268 T cells from 35 conditions and 16 *** classified T cells into 33 subtypes and further stratified them into 68 categories according to subtype and *** on this reference,we developed a tool named STCAT to automatically annotate T cells from scRNA-seq data by hierarchical models and marker *** accuracy of STCAT was 28%higher than that of existing tools validated on six independent datasets,including cancer and healthy *** STCAT,we consistently discovered that CD4^(+)Th17 cells were enriched in late-stage lung cancer patients in multiple datasets,whereas MAIT cells were prevalent in milder-stage COVID-19 *** also confirmed a decrease in Treg cytotoxicity in post-treatment ovarian *** landscape analyses of CD4^(+)and CD8^(+)T cell references revealed that CD4^(+)Treg cells were enriched in tumor samples and that CD8^(+)naive-related cells were abundant in healthy ***,we deposited all the T cell references and annotations into a TCellAtlas(https://***/TCellAtlas)database,which allows users to browse T cell expression profiles and analyze customized scRNA-seq data by *** conclusion,comprehensive human T cell subtypes and states reference,automated annotation tool,and database will greatly facilitate research on T cell immunity and tumor immunology.