![]() The human natural killer cell immune synapse. Formation and function of the lytic NK-cell immunological synapse. Immunometabolism and natural killer cell responses. NK cells and cancer: you can teach innate cells new tricks. Metabolism of stromal and immune cells in health and disease. Mitochondrial fragmentation limits NK cell-based tumor immunosurveillance. A natural killer–dendritic cell axis defines checkpoint therapy-responsive tumor microenvironments. Mechanistic insights into cancer immunity and immunotherapy. Safety and tumor responses with lambrolizumab (anti-PD-1) in melanoma. Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. Blocking expression of inhibitory receptor NKG2A overcomes tumor resistance to NK cells. Therapeutic CD94/NKG2A blockade improves natural killer cell dysfunction in chronic lymphocytic leukemia. Anti-NKG2A mAb is a checkpoint inhibitor that promotes anti-tumor immunity by unleashing both T and NK cells. PD-1 blockade with nivolumab in relapsed or refractory Hodgkin’s lymphoma. Activity and safety of nivolumab, an anti-PD-1 immune checkpoint inhibitor, for patients with advanced, refractory squamous non-small-cell lung cancer (CheckMate 063): a phase 2, single-arm trial. A rheostat for immune responses: the unique properties of PD-1 and their advantages for clinical application. ![]() Okazaki, T., Chikuma, S., Iwai, Y., Fagarasan, S. Immune checkpoint blockade: a common denominator approach to cancer therapy. Coinhibitory pathways in immunotherapy for cancer. Targeting sphingomyelinase confers powerful antitumor efficacy, both as a monotherapy and as a combination therapy with checkpoint blockade.īaumeister, S. Inhibition of SM biosynthesis in peripheral NK cells phenocopied the disrupted membrane topology and cytotoxicity of the intratumoral NK cells. ![]() The membranes of intratumoral NK cells have altered sphingomyelin (SM) content and dysregulated serine metabolism in tumors contributed to the decrease in SM levels of intratumoral NK cells. Dysregulation of these protrusions prevented intratumoral NK cells from recognizing tumor cells, from forming lytic immunological synapses and from killing tumor cells. Here the membrane topology of natural killer (NK) cells from patients with liver cancer showed that intratumoral NK cells have fewer membrane protrusions compared with liver NK cells outside tumors and with peripheral NK cells. This service is currently free of charge, too.The highly variable response rates to immunotherapies underscore our limited knowledge about how tumors can manipulate immune cells. If you are sorting in the CFFC you will receive step-by-step tuition and guidance leading you to being able to work with the FACSAria sorter independently and operator-free. This workshop is co-organized by TransMed and the Core Facility Flow Cytometry (CFFC)Ībout the Core Facility Flow Cytometry (CFFC)Įveryone is welcome to use FlowJo TM on the CFFC workstations, currently free of charge. Please bring your own data with you in order to analyze them.įor the workshop 1 CP for scientific skills training can be credited (0.5 CP for participating only in the theoretical part). Please read the FlowJo TM description, which will be sent to you after your registration. Theoretical and practical input by the trainer, showing examples, analyzing own data using FlowJo TM with the help of the trainer, discussing own issues, feedback from the trainer.ĭoctoral students, postdocs and clinician scientists who already know the basics of FlowJo TM. Using R-independent plugins with FlowJo TM.Using R-dependent plugins with FlowJo TM. ![]() Editing an existing compensation matrix.Creating a compensation matrix using the Wizard.Heat mapping statistics in the Table and Layout Editors.Overlays - grouping by panel or keyword.General overview of FlowJo TM including the following:.There is enough time to discuss specific issues. In the afternoon, participants practice FlowJo in pairs using own data. In the morning, the software is explained theoretically using examples. This beyond the basic workshop shows participants how to analyze flow cytometry data using FlowJo TM. ![]()
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