Single-cell differentiation trajectories define early stages of a human cutaneous T-cell lymphoma

Abstract

Aim: The aim of this article is to characterize in detail the γδ T lymphocytes from an adult patient with primary cutaneous T-cell lymphoma of γδ subtype (γδ CTCL). Methods: Here this article reports trajectory mapping on high-resolution differentiation trajectories of γδ T lymphocytes digitally extracted from a scRNAseq dataset. Results: In the patch-to-plaque progression of CTCL, the TCRVγnon9 subset of γδ T cells differentiated from naive T cells (Tn) and central memory T cells (Tcm) to abundant effector memory T cells (Tem) while other cutaneous γδ T and CD8 T cells remained unchanged. Conclusions: This transcriptomic switch underlies the emergence of a CTCL-like progression of the TCRVγnon9 γδ T subtype and suggests new routes for treating these diseases.

Integrated spatial and multimodal single‐cell transcriptomics reveal patient‐dependent cell heterogeneity in splenic marginal zone lymphoma

“…Second, the projection of immune single cells from a newer dataset on a predefined differentiation trajectory (e.g. already built from any public dataset) is highly powerful to precisely characterize their differentiation stage [19,23,36,37]. However, the differentiation trajectory approach in cancer cells represents a majorchallenge in lymphoma, as their maturation stage mapping is unknown.…”