The quantitative tracking of the dynamics of T cells is challenging in human immunology. Although bulk sequencing of T cell receptor (TCR) α- and β-chains has been widely used for determining the clonality of T cells, such methods are limited in unveiling the phenotypic differences of T cells with the same clonotypes. Here, we describe a bioinformatics framework, STARTRAC, that integrates the single-cell transcriptome and TCR sequences as lineage-specific markers to quantitatively assess the dynamics of T cells, including their clonal expansion, tissue migration, and developmental transition properties.
Keywords: Dynamics; Integrated analysis; Single-cell transcriptome; T cell receptor.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.