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      OMIP‐069: Forty‐Color Full Spectrum Flow Cytometry Panel for Deep Immunophenotyping of Major Cell Subsets in Human Peripheral Blood

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          PURPOSE AND APPROPRIATE SAMPLE TYPES

          This 40‐color flow cytometry‐based panel was developed for in‐depth immunophenotyping of the major cell subsets present in human peripheral blood. Sample availability can often be limited, especially in cases of clinical trial material, when multiple types of testing are required from a single sample or timepoint. Maximizing the amount of information that can be obtained from a single sample not only provides more in‐depth characterization of the immune system but also serves to address the issue of limited sample availability. The panel presented here identifies CD4 T cells, CD8 T cells, regulatory T cells, γδ T cells, NKT‐like cells, B cells, NK cells, monocytes and dendritic cells. For each specific cell type, the panel includes markers for further characterization by including a selection of activation and differentiation markers, as well as chemokine receptors. Moreover, the combination of multiple markers in one tube might lead to the discovery of new immune phenotypes and their relevance in certain diseases. Of note, this panel was designed to include only surface markers to avoid the need for fixation and permeabilization steps. The panel can be used for studies aimed at characterizing the immune response in the context of infectious or autoimmune diseases, monitoring cancer patients on immuno‐ or chemotherapy, and discovery of unique and targetable biomarkers. Different from all previously published OMIPs, this panel was developed using a full spectrum flow cytometer, a technology that has allowed the effective use of 40 fluorescent markers in a single panel. The panel was developed using cryopreserved human peripheral blood mononuclear cells (PBMC) from healthy adults (Table 1). Although we have not tested the panel on fresh PBMCs or whole blood, it is anticipated that the panel could be used in those sample preparations without further optimization. @ 2020 Cytek Biosciences, Inc. Cytometry Part A published by Wiley Periodicals LLC on behalf of International Society for Advancement of Cytometry.

          Abstract

          This OMIP describes the first 40‐color fluorescent panel using full spectrum flow cytometry to broadly phenotype much of the cellular composition of the human peripheral immune system. The panel has been thoroughly optimized to ensure high‐quality data and well‐resolved populations, enabling the description of most canonical subsets of T cells, B cells, NK cells, monocytes, and dendritic cells. This panel will be particularly useful for studies in which sample availability is limited or unique biomarker signatures are sought.

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          Most cited references97

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          Regulation and Function of the PD-L1 Checkpoint

          Expression of programmed death-ligand 1 (PD-L1) is frequently observed in human cancers. Binding of PD-L1 to its receptor PD-1 on activated T cells inhibits anti-tumor immunity by counteracting T cell-activating signals. Antibody-based PD-1-PD-L1 inhibitors can induce durable tumor remissions in patients with diverse advanced cancers, and thus expression of PD-L1 on tumor cells and other cells in the tumor microenviroment is of major clinical relevance. Here we review the roles of the PD-1-PD-L1 axis in cancer, focusing on recent findings on the mechanisms that regulate PD-L1 expression at the transcriptional, posttranscriptional, and protein level. We place this knowledge in the context of observations in the clinic and discuss how it may inform the design of more precise and effective cancer immune checkpoint therapies.
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            FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data.

            The number of markers measured in both flow and mass cytometry keeps increasing steadily. Although this provides a wealth of information, it becomes infeasible to analyze these datasets manually. When using 2D scatter plots, the number of possible plots increases exponentially with the number of markers and therefore, relevant information that is present in the data might be missed. In this article, we introduce a new visualization technique, called FlowSOM, which analyzes Flow or mass cytometry data using a Self-Organizing Map. Using a two-level clustering and star charts, our algorithm helps to obtain a clear overview of how all markers are behaving on all cells, and to detect subsets that might be missed otherwise. R code is available at https://github.com/SofieVG/FlowSOM and will be made available at Bioconductor.
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              Two subsets of memory T lymphocytes with distinct homing potentials and effector functions.

              Naive T lymphocytes travel to T-cell areas of secondary lymphoid organs in search of antigen presented by dendritic cells. Once activated, they proliferate vigorously, generating effector cells that can migrate to B-cell areas or to inflamed tissues. A fraction of primed T lymphocytes persists as circulating memory cells that can confer protection and give, upon secondary challenge, a qualitatively different and quantitatively enhanced response. The nature of the cells that mediate the different facets of immunological memory remains unresolved. Here we show that expression of CCR7, a chemokine receptor that controls homing to secondary lymphoid organs, divides human memory T cells into two functionally distinct subsets. CCR7- memory cells express receptors for migration to inflamed tissues and display immediate effector function. In contrast, CCR7+ memory cells express lymph-node homing receptors and lack immediate effector function, but efficiently stimulate dendritic cells and differentiate into CCR7- effector cells upon secondary stimulation. The CCR7+ and CCR7- T cells, which we have named central memory (TCM) and effector memory (TEM), differentiate in a step-wise fashion from naive T cells, persist for years after immunization and allow a division of labour in the memory response.
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                Author and article information

                Contributors
                mjaimes@cytekbio.com
                Journal
                Cytometry A
                Cytometry A
                10.1002/(ISSN)1552-4930
                CYTO
                Cytometry
                John Wiley & Sons, Inc. (Hoboken, USA )
                1552-4922
                1552-4930
                31 August 2020
                October 2020
                : 97
                : 10 ( doiID: 10.1002/cyto.a.v97.10 )
                : 1044-1051
                Affiliations
                [ 1 ] Research and Development Cytek Biosciences, Inc. Fremont California 94538‐6407 USA
                [ 2 ] Flow Cytometry Support Services, LLC Alexandria Virginia 22314 USA
                [ 3 ] Research and Development Cytek Biosciences, Inc. Fremont California 94538‐6407 USA
                Author notes
                [*] [* ] Correspondence to: Maria C. Jaimes, Research and Development, Cytek Biosciences, Inc., 46107 Landing Parkway, Fremont, CA 94538‐6407.

                Email: mjaimes@ 123456cytekbio.com

                Article
                CYTOA24213
                10.1002/cyto.a.24213
                8132182
                32830910
                adeba375-fa8b-46be-af0e-669a56a34f18
                @ 2020 Cytek Biosciences, Inc. Cytometry Part A published by Wiley Periodicals LLC on behalf of International Society for Advancement of Cytometry.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 27 July 2020
                : 03 June 2020
                : 17 August 2020
                Page count
                Figures: 1, Tables: 2, Pages: 8, Words: 8035
                Categories
                Omip
                Celebrating 10 Years OMIP
                OMIPs
                Custom metadata
                2.0
                October 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:19.05.2021

                Cell biology
                aurora,broad immunophenotyping,full spectrum,high‐dimensional flow cytometry,omip,spectral,pbmcs

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