Understanding the Synergy of NKp46 and Co-Activating Signals in Various NK Cell Subpopulations: Paving the Way for More Successful NK-Cell-Based Immunotherapy
Understanding the Synergy of NKp46 and Co-Activating Signals in Various NK Cell Subpopulations: Paving the Way for More Successful NK-Cell-Based Immunotherapy
The NK cell population is characterized by distinct NK cell subsets that respond differently to the various activating stimuli. For this reason, the determination of the optimal cytotoxic activation of the different NK cell subsets can be a crucial aspect to be exploited to counter cancer cells in oncologic patients. To evaluate how the triggering of different combination of activating receptors can affect the cytotoxic responses of different NK cell subsets, we developed a microbead-based degranulation assay. By using this new assay, we were able to detect CD107a+ degranulating NK cells even within the less cytotoxic subsets (i.e., resting CD56bright and unlicensed CD56dim NK cells), thus demonstrating its high sensitivity. Interestingly, signals delivered by the co-engagement of NKp46 with 2B4, but not with CD2 or DNAM-1, strongly cooperate to enhance degranulation on both licensed and unlicensed CD56dim NK cells. Of note, 2B4 is known to bind CD48 hematopoietic antigen, therefore this observation may provide the rationale why CD56dim subset expansion correlates with successful hematopoietic stem cell transplantation mediated by alloreactive NK cells against host T, DC and leukemic cells, while sparing host non-hematopoietic tissues and graft versus host disease. The assay further confirms that activation of LFA-1 on NK cells leads to their granule polarization, even if, in some cases, this also takes to an inhibition of NK cell degranulation, suggesting that LFA-1 engagement by ICAMs on target cells may differently affect NK cell response. Finally, we observed that NK cells undergo a time-dependent spontaneous (cytokine-independent) activation after blood withdrawal, an aspect that may strongly bias the evaluation of the resting NK cell response. Altogether our data may pave the way to develop new NK cell activation and expansion strategies that target the highly cytotoxic CD56dim NK cells and can be feasible and useful for cancer and viral infection treatment.
nk cell biology, nk cell subsets, long-lived memory-like NK cells, granule polarization, Article, Cell Degranulation, immunology, cell adhesion molecules, NK cell activating receptors, Humans, trogocytosis, Cells, Cultured, degranulation, QH573-671, Natural Cytotoxicity Triggering Receptor 1, long-lived memory-like nk cells, NK cell biology, Cell Polarity, nk cell activating receptors, NK cell subsets, cytotoxicity assay, CD56 Antigen, Killer Cells, Natural, NK cell activating receptors; NK cell biology; NK cell subsets; cell adhesion molecules; cytotoxicity assay; degranulation; granule polarization; long-lived memory-like NK cells; trogocytosis, Interleukin-2, Immunotherapy, Cytology, Signal Transduction
nk cell biology, nk cell subsets, long-lived memory-like NK cells, granule polarization, Article, Cell Degranulation, immunology, cell adhesion molecules, NK cell activating receptors, Humans, trogocytosis, Cells, Cultured, degranulation, QH573-671, Natural Cytotoxicity Triggering Receptor 1, long-lived memory-like nk cells, NK cell biology, Cell Polarity, nk cell activating receptors, NK cell subsets, cytotoxicity assay, CD56 Antigen, Killer Cells, Natural, NK cell activating receptors; NK cell biology; NK cell subsets; cell adhesion molecules; cytotoxicity assay; degranulation; granule polarization; long-lived memory-like NK cells; trogocytosis, Interleukin-2, Immunotherapy, Cytology, Signal Transduction
8 Research products, page 1 of 1
- 2021IsAmongTopNSimilarDocuments
- 2021IsAmongTopNSimilarDocuments
- 2011IsAmongTopNSimilarDocuments
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).28 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
