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Inter-donor variation in cell subset specific immune signaling responses in healthy individuals

机译:健康个体的细胞亚群特异性免疫信号反应中的供体间变异

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Single cell network profiling (SCNP) is a multi-parameter flow cytometry based approach that allows for the simultaneous interrogation of intracellular signaling pathways in multiple cell subpopulations within heterogeneous tissues, without the need for individual cell subset isolation. Thus, the technology is extremely well-suited for characterizing the multitude of interconnected signaling pathways and immune cell subpopulations that regulate the function of the immune system. Recently, SCNP was applied to generate a functional map of the healthy human immune cell signaling network by profiling immune signaling pathways downstream of 12 immunomodulators in 7 distinct immune cell subsets within peripheral blood mononuclear cells (PBMCs) from 60 healthy donors. In the study reported here, the degree of inter-donor variation in the magnitude of the immune signaling responses was analyzed. The highest inter-donor differences in immune signaling pathway activity occurred following perturbation of the immune signaling network, rather than in basal signaling. When examining the full panel of immune signaling responses, as one may expect, the overall degree of inter-donor variation was positively correlated (r = 0.727) with the magnitude of node response (i.e. a larger median signaling response was associated with greater inter-donor variation). However, when examining the degree of heterogeneity across cell subpopulations for individual signaling nodes, cell subset specificity in the degree of inter-donor variation was observed for several nodes. For such nodes, relatively weak correlations between inter-donor variation and the magnitude of the response were observed. Further, within the phenotypically distinct subpopulations, a fraction of the immune signaling responses had bimodal response profiles in which (a) only a portion of the cells had elevated phospho-protein levels following modulation and (b) the proportion of responsive cells varied by donor. These data exemplify the application of SCNP to provide a detailed characterization of inter-donor variation in immune signaling pathway activation in a healthy donor cohort. This dataset provides a basis for identifying cell subpopulation specific immune signaling abnormalities in cancer and immune-mediated diseases. Building upon these data in future studies may help inform on disease etiology, maintenance and therapeutic selection.
机译:单细胞网络分析(SCNP)是一种基于多参数流式细胞仪的方法,它允许同时询问异质组织内多个细胞亚群中的细胞内信号传导途径,而无需分离单个细胞子集。因此,该技术非常适合用于表征调节免疫系统功能的众多相互连接的信号通路和免疫细胞亚群。最近,SCNP被用于通过分析来自60位健康捐献者的外周血单核细胞(PBMC)中7个不同免疫细胞亚群中12个免疫调节剂下游的免疫信号传导途径来生成健康人类免疫细胞信号网络的功能图。在这里报道的研究中,分析了免疫信号应答强度在供体之间的变化程度。免疫信号通路活动中最高的供体间差异发生在免疫信号网络的扰动之后,而不是基础信号中。正如人们可能期望的那样,当检查整个免疫信号反应时,供体间变异的总体程度与淋巴结反应的大小呈正相关(r = 0.727)(即,更大的中位信号反应与更大的免疫反应有关。供体变异)。但是,当检查各个信号节点跨细胞亚群的异质性程度时,对于多个节点观察到了供体间变异程度的细胞亚群特异性。对于此类节点,观察到供体间变异与响应幅度之间的相关性相对较弱。此外,在表型不同的亚群中,一部分免疫信号应答具有双峰应答模式,其中(a)调制后仅一部分细胞的磷酸蛋白水平升高;(b)供体改变的应答细胞比例。这些数据例证了SCNP的应用,以提供健康供体队列中免疫信号通路激活中供体间变异的详细表征。该数据集为鉴定癌症和免疫介导疾病中细胞亚群特异性免疫信号异常提供了基础。在以后的研究中基于这些数据可以帮助了解疾病的病因,维持和治疗选择。

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