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Published on: February 22, 2020
Computational modeling of human natural killer cell development suggests a selection process regulating coexpression
Mali Salmon-Divon1, Petter Höglund, Maria H Johansson
1Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan 52900, Israel.
Abstract:
Natural killer cells fail to lyse target cells expressing sufficient levels of self MHC class I molecules, providing one mechanism to secure self tolerance. Inhibition of lysis is mediated by inhibitory receptors expressed by NK cells, such as the murine Ly49 receptors, human KIR receptors and CD94/NKG2A, expressed by both species. To ensure that most, if not all, NK cells express at least one inhibitory receptor for self MHC class I, selection processes have been postulated for murine NK cells regulating the number and identity of inhibitory receptors expressed by each cell. The presence of similar selection processes in human NK cells has not been demonstrated. In previous studies using mathematical modeling we have shown that, in the Ly49 system, the sequential model (in which gene expression and selection operate simultaneously) is most likely to explain the observed expression frequencies. We also predicted the parameters (such as receptor-ligand binding affinity levels) under which the models fit with the observed frequencies. This study aims to evaluate whether these models may be valid in the human system. Our data suggest that if selection operates during human NK cell development, it affects the co-expression of CD94/NKG2A and KIR rather than KIR expression alone, and is more likely to be governed by the two-step selection model.
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