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      Large-scale, three-dimensional tissue cytometry of the human kidney: a complete and accessible pipeline

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          Defining CD8(+) T cells that provide the proliferative burst after PD-1 therapy.

          Chronic viral infections are characterized by a state of CD8(+) T-cell dysfunction that is associated with expression of the programmed cell death 1 (PD-1) inhibitory receptor. A better understanding of the mechanisms that regulate CD8(+) T-cell responses during chronic infection is required to improve immunotherapies that restore function in exhausted CD8(+) T cells. Here we identify a population of virus-specific CD8(+) T cells that proliferate after blockade of the PD-1 inhibitory pathway in mice chronically infected with lymphocytic choriomeningitis virus (LCMV). These LCMV-specific CD8(+) T cells expressed the PD-1 inhibitory receptor, but also expressed several costimulatory molecules such as ICOS and CD28. This CD8(+) T-cell subset was characterized by a unique gene signature that was related to that of CD4(+) T follicular helper (TFH) cells, CD8(+) T cell memory precursors and haematopoietic stem cell progenitors, but that was distinct from that of CD4(+) TH1 cells and CD8(+) terminal effectors. This CD8(+) T-cell population was found only in lymphoid tissues and resided predominantly in the T-cell zones along with naive CD8(+) T cells. These PD-1(+)CD8(+) T cells resembled stem cells during chronic LCMV infection, undergoing self-renewal and also differentiating into the terminally exhausted CD8(+) T cells that were present in both lymphoid and non-lymphoid tissues. The proliferative burst after PD-1 blockade came almost exclusively from this CD8(+) T-cell subset. Notably, the transcription factor TCF1 had a cell-intrinsic and essential role in the generation of this CD8(+) T-cell subset. These findings provide a better understanding of T-cell exhaustion and have implications in the optimization of PD-1-directed immunotherapy in chronic infections and cancer.
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            Is Open Access

            Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging

            Summary A highly multiplexed cytometric imaging approach, termed co-detection by indexing (CODEX), is used here to create multiplexed datasets of normal and lupus (MRL/lpr) murine spleens. CODEX iteratively visualizes antibody binding events using DNA barcodes, fluorescent dNTP analogs, and an in situ polymerization-based indexing procedure. An algorithmic pipeline for single-cell antigen quantification in tightly packed tissues was developed and used to overlay well-known morphological features with de novo characterization of lymphoid tissue architecture at a single-cell and cellular neighborhood levels. We observed an unexpected, profound impact of the cellular neighborhood on the expression of protein receptors on immune cells. By comparing normal murine spleen to spleens from animals with systemic autoimmune disease (MRL/lpr), extensive and previously uncharacterized splenic cell-interaction dynamics in the healthy versus diseased state was observed. The fidelity of multiplexed spatial cytometry demonstrated here allows for quantitative systemic characterization of tissue architecture in normal and clinically aberrant samples.
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              Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry.

              Mass cytometry enables high-dimensional, single-cell analysis of cell type and state. In mass cytometry, rare earth metals are used as reporters on antibodies. Analysis of metal abundances using the mass cytometer allows determination of marker expression in individual cells. Mass cytometry has previously been applied only to cell suspensions. To gain spatial information, we have coupled immunohistochemical and immunocytochemical methods with high-resolution laser ablation to CyTOF mass cytometry. This approach enables the simultaneous imaging of 32 proteins and protein modifications at subcellular resolution; with the availability of additional isotopes, measurement of over 100 markers will be possible. We applied imaging mass cytometry to human breast cancer samples, allowing delineation of cell subpopulations and cell-cell interactions and highlighting tumor heterogeneity. Imaging mass cytometry complements existing imaging approaches. It will enable basic studies of tissue heterogeneity and function and support the transition of medicine toward individualized molecularly targeted diagnosis and therapies.
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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Laboratory Investigation
                Lab Invest
                Springer Science and Business Media LLC
                0023-6837
                1530-0307
                January 06 2021
                Article
                10.1038/s41374-020-00518-w
                33408350
                4f671211-b718-4655-aeea-c7f62f0718ad
                © 2021

                http://www.springer.com/tdm

                http://www.springer.com/tdm

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