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流式细胞术:从实验设计到在呼吸疾病诊断和监测中的应用。

Flow Cytometry: From Experimental Design to Its Application in the Diagnosis and Monitoring of Respiratory Diseases.

机构信息

Laboratory of Integrative Immunology, Instituto Nacional de Enfermedades Respiratorias Ismael Cosio Villegas, 14080 Mexico City, Mexico.

Laboratory of Immunomicrobiology, Microbiology Department of Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, 11350 Mexico City, Mexico.

出版信息

Int J Mol Sci. 2020 Nov 22;21(22):8830. doi: 10.3390/ijms21228830.

DOI:10.3390/ijms21228830
PMID:33266385
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7700151/
Abstract

Recent advances in the field of flow cytometry (FCM) have highlighted the importance of incorporating it as a basic analysis tool in laboratories. FCM not only allows the identification of cell subpopulations by detecting the expression of molecules in the cell membrane or cytoplasm, but it can also quantify and identify soluble molecules. The proper functioning of the FCM requires six fundamental systems, from those related to the transport of events to the systems dedicated to the analysis of information. In this review, we have identified the main considerations that every FCM user must know for an optimal antibody panel design, the quality systems that must govern the FCM protocols to guarantee reproducible results in research or clinical laboratories. Finally, we have introduced the current evidence that highlights the relevance of FCM in the investigation and clinical diagnosis of respiratory diseases, establishing important advances in the basic and clinical study of diseases as old as Tuberculosis along with the recent proposals for the monitoring and classification of patients infected with the new SARS-CoV2 virus.

摘要

流式细胞术(FCM)领域的最新进展强调了将其纳入实验室基本分析工具的重要性。FCM 不仅可以通过检测细胞膜或细胞质中分子的表达来识别细胞亚群,还可以定量和鉴定可溶性分子。FCM 的正常运行需要六个基本系统,从与事件传输相关的系统到专门用于信息分析的系统。在这篇综述中,我们确定了每个 FCM 用户在设计最佳抗体面板时必须了解的主要注意事项,以及必须管理 FCM 协议的质量系统,以保证在研究或临床实验室中可重复的结果。最后,我们介绍了当前的证据,强调了 FCM 在呼吸道疾病的研究和临床诊断中的相关性,为结核病等古老疾病的基础和临床研究以及对感染新型 SARS-CoV2 病毒患者的监测和分类的最新建议建立了重要的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e9b/7700151/3b6b8b884f6f/ijms-21-08830-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e9b/7700151/3b6b8b884f6f/ijms-21-08830-g005.jpg

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