Tissue-resident memory T cells (T RM ) have recently emerged as crucial cellular players for host defense in a wide variety of tissues and barrier sites. Insights into the maintenance and regulatory checkpoints of human T RM cells remain scarce, especially due to the difficulties associated with tracking T cells through time and space in humans. We therefore sought to identify and characterize skin-resident T cells in humans defined by their long-term in situ lodgment. Allogeneic hematopoietic stem cell transplantation (allo-HSCT) preceded by myeloablative chemotherapy unmasked long-term sequestration of host T cell subsets in human skin despite complete donor T cell chimerism in the blood. Single-cell chimerism analysis paired with single-cell transcriptional profiling comprehensively characterized these bona fide long-term skin-resident T cells and revealed differential tissue maintenance for distinct T cell subsets, specific T RM cell markers such as galectin-3, but also tissue exit potential with retention of the transcriptomic T RM cell identity. Analysis of 26 allo-HSCT patients revealed profound interindividual variation in the tissue maintenance of host skin T cells. The long-term persistence of host skin T cells in a subset of these patients did not correlate with the development of chronic GvHD. Our data exemplify the power of exploiting a clinical situation as a proof of concept for the existence of bona fide human skin T RM cells and reveal long-term persistence of host T cells in a peripheral tissue but not in the circulation or bone marrow in a subset of allo-HSCT patients.

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Single-cell RNA sequencing (scRNA-seq) revolutionized our understanding of disease biology. The promise it presents to also transform translational research requires highly standardized and robust software workflows. Here, we present the toolkit Besca, which streamlines scRNA-seq analyses and their use to deconvolute bulk RNA-seq data according to current best practices. Beyond a standard workflow covering quality control, filtering, and clustering, two complementary Besca modules, utilizing hierarchical cell signatures and supervised machine learning, automate cell annotation and provide harmonized nomenclatures. Subsequently, the gene expression profiles can be employed to estimate cell type proportions in bulk transcriptomics data. Using multiple, diverse scRNA-seq datasets, some stemming from highly heterogeneous tumor tissue, we show how Besca aids acceleration, interoperability, reusability and interpretability of scRNA-seq data analyses, meeting crucial demands in translational research and beyond.

Single-cell proteomics by mass spectrometry (MS) is emerging as a powerful and unbiased method for the characterization of biological heterogeneity. So far, it has been limited to cultured cells, whereas an expansion of the method to complex tissues would greatly enhance biological insights. Here we describe single-cell Deep Visual Proteomics (scDVP), a technology that integrates high-content imaging, laser microdissection and multiplexed MS. scDVP resolves the context-dependent, spatial proteome of murine hepatocytes at a current depth of 1,700 proteins from a slice of a cell. Half of the proteome was differentially regulated in a spatial manner, with protein levels changing dramatically in proximity to the central vein. We applied machine learning to proteome classes and images, which subsequently inferred the spatial proteome from imaging data alone. scDVP is applicable to healthy and diseased tissues and complements other spatial proteomics or spatial omics technologies.

Tissue resident memory T cells (TRM) have recently emerged as crucial cellular players for host defense in a wide variety of tissues and barrier sites. Mouse models revealed that they are maintained long-term in loco unlike recirculating effector memory T cells (TEM). Insights into the maintenance and regulatory checkpoints of human tissue resident T cells (TRM) remain scarce, especially due to the obstacles in tracking T cells over time and system-wide in humans.We present a clinical model that allowed us to overcome these limitations. We demonstrate that allogeneic stem cell transplantation resulted in compartmentalization of host T cells in the human skin despite complete donor T cell chimerism in the blood, thus unmasking long-term persistence of tissue resident T cell subsets of host origin within the diverse skin T cell community. Single-cell transcriptional profiling paired with single-cell chimerism analysis provided an in-depth characterization of these bona fide skin resident T cells. Their phenotype, functions and regulatory checkpoints may serve therapeutic strategies for the treatment of autoimmune diseases and chronic infections, where their specific depletion versus maintenance,