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气道炎症细胞的多参数单细胞分析

Multiparameter Single Cell Profiling of Airway Inflammatory Cells.

作者信息

Yao Yi, Welp Tobias, Liu Qing, Niu Naiqian, Wang Xiaomei, Britto Clemente J, Krishnaswamy Smita, Chupp Geoffrey L, Montgomery Ruth R

机构信息

Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.

Department of Genetics, Yale University School of Medicine, New Haven, Connecticut.

出版信息

Cytometry B Clin Cytom. 2017 Jan;92(1):12-20. doi: 10.1002/cyto.b.21491.

DOI:10.1002/cyto.b.21491
PMID:27807928
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5250532/
Abstract

Airway diseases affect over 7% of the U.S. population and millions of patients worldwide. Asthmatic patients have wide variation in clinical severity with different clinical and physiologic manifestations of disease that may be driven by distinct biologic mechanisms. Further, the immunologic underpinnings of this complex trait disease are heterogeneous and treatment success depends on defining subgroups of asthmatics. Because of the limited availability and number of cells from the lung, the active site, in-depth investigation has been challenging. Recent advances in technology support transcriptional analysis of cells from induced sputum. Flow cytometry studies have described cells present in the sputum but a detailed analysis of these subsets is lacking. Mass cytometry or CyTOF (Cytometry by Time-Of-Flight) offers tremendous opportunities for multiparameter single cell analysis. Experiments can now allow detection of up to ∼40 markers to facilitate unprecedented multidimensional cellular analyses. Here we demonstrate the use of CyTOF on primary airway samples obtained from well-characterized patients with asthma and cystic fibrosis. Using this technology, we quantify cellular frequency and functional status of defined cell subsets. Our studies provide a blueprint to define the heterogeneity among subjects and underscore the power of this single cell method to characterize airway immune status. © 2016 International Clinical Cytometry Society.

摘要

气道疾病影响着超过7%的美国人口以及全球数百万患者。哮喘患者的临床严重程度差异很大,疾病具有不同的临床和生理表现,可能由不同的生物学机制驱动。此外,这种复杂性状疾病的免疫基础是异质性的,治疗成功与否取决于对哮喘亚组的定义。由于来自肺部(即疾病发生部位)的细胞数量有限且获取困难,深入研究一直具有挑战性。技术上的最新进展支持对诱导痰中的细胞进行转录分析。流式细胞术研究已经描述了痰中存在的细胞,但缺乏对这些亚群的详细分析。质谱流式细胞术或飞行时间质谱细胞术(CyTOF)为多参数单细胞分析提供了巨大机遇。现在的实验能够检测多达约40种标志物,以促进前所未有的多维细胞分析。在此,我们展示了CyTOF在从具有明确特征的哮喘和囊性纤维化患者获取的原发性气道样本中的应用。利用这项技术,我们对特定细胞亚群的细胞频率和功能状态进行了量化。我们的研究提供了一个蓝图,用于定义受试者之间的异质性,并强调了这种单细胞方法在表征气道免疫状态方面的强大作用。© 2016国际临床细胞计量学会

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