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Single-cell network profiling (SCNP) by flow cytometry in autoimmune disease.

机译:通过流式细胞术在自身免疫性疾病中进行单细胞网络分析(SCNP)。

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摘要

Autoimmune diseases are complex and heterogeneous in nature and show varying responses to therapeutic treatment. A more accurate biological characterization of individual patients would assist in disease classification, prognosis, and treatment decisions. This characterization ideally would incorporate cellular, biochemical, and molecular information that contribute to the inflammatory state. The advent of single-cell network profiling (SCNP) using phospho-flow multiparametric flow cytometry allows insight into the complexity of signaling networks in various cell types. Here, we describe the potential of SCNP to inform on the biological characterization of autoimmune disease, the application in clinical medicine, and the utility in drug development.
机译:自身免疫性疾病本质上是复杂且异质的,并且对治疗的反应各不相同。对单个患者进行更准确的生物学表征将有助于疾病分类,预后和治疗决策。理想地,该表征将结合有助于炎症状态的细胞,生化和分子信息。使用磷酸流多参数流式细胞术的单细胞网络分析(SCNP)的出现允许深入了解各种细胞类型中信号网络的复杂性。在这里,我们描述了SCNP的潜力,以告知自身免疫性疾病的生物学特征,在临床医学中的应用以及在药物开发中的效用。

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