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Atlas Aims

Creating a single-cell atlas of T cell state holds significant importance in the field of immunology and biomedical research. T cells play a crucial role in orchestrating immune responses and are involved in various diseases, including cancer, autoimmune disorders, and infectious diseases. Understanding the diverse states and functional heterogeneity of T cells at a single-cell resolution can provide invaluable insights into their development, activation, differentiation, and response to environmental cues.

huARdb v1 has been published on Nucleic Acid Research.

Please cite : Wu et al. (2021) huARdb: human Antigen Receptor database for interactive clonotype-transcriptome analysis at the single-cell level, Nucleic Acids Research. https://doi.org/10.1093/nar/gkab857

Projects: 94
Datasets: 1058

Total cell number: 2,589,673 (single-chained T/B cells)

Interactive Atlas Browser

All T cell integration v2

All pages and components are built to be used in any combination.

CD8+ T cell integration v2

Components and pages are optimised to work for most devices.

CD4+ T cell integration v2

Scalable and maintenable consistency while developing new features and pages.

The diverse phenotype of T cells

T cells displays high plasiticity and can differentiate into multiple subsets with distinct functions. The diversity of T cells is reflected by the heterogeneity of their transcriptomic profiles. In tumor microenvionment, Tumor-infiltrating T cells are thought to recognize tumor-derived antigens, and play a critical role in the anti-tumor immune response. However, the tumor microenvironment is highly immunosuppressive, and T cells are often dysfunctional. The heterogeneity of T cells in tumor microenvironment is not well understood. In inflammed tissue, T cells are also thought to play a critical role in the pathogenesis of autoimmune diseases. However, the heterogeneity of T cells in inflammed tissue is not well understood. In this study, we aim to characterize the heterogeneity of T cells in tumor microenvironment, inflammed tissues, and healthy tissues. The CD4/CD8 integration includes 2,658,614 T cells after filtering doublets automatically and manually.

The diverse phenotype of CD8+ T cells

CD8 T cells can be categorized into naive-like T cells (Tn), central to effector memory T cells (Tcm or Tem), tissue-resident T cells (Trm), terminally exhausted T cells (Tex), Cycling T cells (Tcyc), and terminally differentiated effector T cells (Temra) Tcm and Tem are thought to be long-lived memory T cells, while Temra are thought to be short-lived effector T cells. Trm are thought to be long-lived memory T cells that reside in tissues, and play roles in inflammation and autoimmune response. Tex are thought to be dysfunctional T cells that are exhausted by chronic antigen stimulation. We integrate 1,453,023 CD8+ T cells from various disease conditions and tissue types for the analysis of CD8+ T cell heterogeneity.

The diverse phenotype of CD4+ T cells

Similar to CD8 T cells, CD4 T cells can be categorized into naive-like T cells, memory T cells, cycling T cells, and regulatory T cells. We integrate 1,211,804 CD4+ T cells from various disease conditions and tissue types for the analysis of CD4+ T cell heterogeneity.