Enhancing network activation in natural killer cells: predictions from in silico modeling.

IF 1.5 4区 生物学 Q4 CELL BIOLOGY Integrative Biology Pub Date : 2020-05-21 DOI:10.1093/intbio/zyaa008
Sahak Z Makaryan, Stacey D Finley
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Abstract

Natural killer (NK) cells are part of the innate immune system and are capable of killing diseased cells. As a result, NK cells are being used for adoptive cell therapies for cancer patients. The activation of NK cell stimulatory receptors leads to a cascade of intracellular phosphorylation reactions, which activates key signaling species that facilitate the secretion of cytolytic molecules required for cell killing. Strategies that maximize the activation of such intracellular species can increase the likelihood of NK cell killing upon contact with a cancer cell and thereby improve efficacy of NK cell-based therapies. However, due to the complexity of intracellular signaling, it is difficult to deduce a priori which strategies can enhance species activation. Therefore, we constructed a mechanistic model of the CD16, 2B4 and NKG2D signaling pathways in NK cells to simulate strategies that enhance signaling. The model predictions were fit to published data and validated with a separate dataset. Model simulations demonstrate strong network activation when the CD16 pathway is stimulated. The magnitude of species activation is most sensitive to the receptor's initial concentration and the rate at which the receptor is activated. Co-stimulation of CD16 and NKG2D in silico required fewer ligands to achieve half-maximal activation than other combinations, suggesting co-stimulating these pathways is most effective in activating the species. We applied the model to predict the effects of perturbing the signaling network and found two strategies that can potently enhance network activation. When the availability of ligands is low, it is more influential to engineer NK cell receptors that are resistant to proteolytic cleavage. In contrast, for high ligand concentrations, inhibiting phosphatase activity leads to sustained species activation. The work presented here establishes a framework for understanding the complex, nonlinear aspects of NK cell signaling and provides detailed strategies for enhancing NK cell activation.

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增强自然杀伤细胞的网络活化:来自硅学建模的预测。
自然杀伤(NK)细胞是先天免疫系统的一部分,能够杀死病变细胞。因此,NK 细胞正被用于癌症患者的采纳细胞疗法。NK 细胞刺激受体的激活会导致一连串的细胞内磷酸化反应,从而激活关键的信号种类,促进细胞杀伤所需的细胞溶解分子的分泌。最大限度地激活这些细胞内信号的策略可以增加 NK 细胞在接触癌细胞后杀死癌细胞的可能性,从而提高基于 NK 细胞疗法的疗效。然而,由于细胞内信号传导的复杂性,很难先验地推断出哪些策略可以增强物种的活化。因此,我们构建了一个 NK 细胞中 CD16、2B4 和 NKG2D 信号通路的机理模型,以模拟增强信号传导的策略。模型预测与已发表的数据进行了拟合,并通过一个单独的数据集进行了验证。模型模拟表明,当 CD16 通路受到刺激时,网络会被强烈激活。物种激活的程度对受体的初始浓度和受体被激活的速率最为敏感。与其他组合相比,CD16 和 NKG2D 的协同刺激需要更少的配体才能达到半最大激活,这表明协同刺激这些通路能最有效地激活物种。我们应用该模型预测了干扰信号网络的效果,发现有两种策略可以有效增强网络激活。当配体的可用性较低时,设计耐蛋白水解的 NK 细胞受体会更有影响力。相反,在配体浓度较高的情况下,抑制磷酸酶活性会导致持续的物种激活。本文介绍的研究为了解 NK 细胞信号传导的复杂性和非线性方面建立了一个框架,并提供了增强 NK 细胞活化的详细策略。
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来源期刊
Integrative Biology
Integrative Biology 生物-细胞生物学
CiteScore
4.90
自引率
0.00%
发文量
15
审稿时长
1 months
期刊介绍: Integrative Biology publishes original biological research based on innovative experimental and theoretical methodologies that answer biological questions. The journal is multi- and inter-disciplinary, calling upon expertise and technologies from the physical sciences, engineering, computation, imaging, and mathematics to address critical questions in biological systems. Research using experimental or computational quantitative technologies to characterise biological systems at the molecular, cellular, tissue and population levels is welcomed. Of particular interest are submissions contributing to quantitative understanding of how component properties at one level in the dimensional scale (nano to micro) determine system behaviour at a higher level of complexity. Studies of synthetic systems, whether used to elucidate fundamental principles of biological function or as the basis for novel applications are also of interest.
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