Longo Diane M, Louie Brent, Wang Ena, Pos Zoltan, Marincola Francesco M, Hawtin Rachael E, Cesano Alessandra
Nodality, South San Francisco, CA 94080.
Am J Clin Exp Immunol. 2012 Apr 24;1(1):1-11. Print 2012.
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.
单细胞网络分析(SCNP)是一种基于多参数流式细胞术的方法,它能够在无需分离单个细胞亚群的情况下,同时对异质组织内多个细胞亚群中的细胞内信号通路进行检测。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,通过对来自60名健康供体的外周血单个核细胞(PBMC)中7个不同免疫细胞亚群的12种免疫调节剂下游的免疫信号通路进行分析,SCNP被用于生成健康人类免疫细胞信号网络的功能图谱。在本文报道的研究中,分析了供体间免疫信号反应强度的差异程度。免疫信号通路活性的供体间差异最大发生在免疫信号网络受到扰动之后,而不是基础信号传导过程中。正如人们所预期的那样,在检查完整的免疫信号反应面板时,供体间差异的总体程度与节点反应的强度呈正相关(r = 0.727)(即更大的中位信号反应与更大的供体间差异相关)。然而,当检查单个信号节点在细胞亚群间的异质性程度时,观察到几个节点在供体间差异程度上具有细胞亚群特异性。对于这些节点,观察到供体间差异与反应强度之间的相关性相对较弱。此外,在表型不同的亚群中,一部分免疫信号反应具有双峰反应模式,其中(a)只有一部分细胞在调节后磷酸化蛋白水平升高,并且(b)反应性细胞的比例因供体而异。这些数据例证了SCNP在健康供体队列中对免疫信号通路激活的供体间差异进行详细表征的应用。该数据集为识别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。在未来的研究中基于这些数据可能有助于了解疾病的病因、维持和治疗选择。