用于小鼠肺部深度免疫分型的全谱流式细胞仪优化面板。

IF 4.3 Q1 BIOCHEMICAL RESEARCH METHODS
Zora Baumann, Carsten Wiethe, Cinja M Vecchi, Veronica Richina, Telma Lopes, Mohamed Bentires-Alj
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引用次数: 0

摘要

肺部免疫系统由常驻免疫细胞和循环免疫细胞组成,两者之间存在着错综复杂的联系。接触细菌和病毒、肺部发生癌症(原发性肺癌)或包括乳腺癌在内的其他癌症转移到肺部并在肺部发展(继发性肺癌)时,免疫系统都会被激活。因此,在这些病理情况下,全面、定量地评估肺部免疫系统的变化对于了解感染性疾病、肺癌和转移的机制以及开发有效的治疗方法至关重要。遗憾的是,肺组织具有很高的自发荧光,这种高背景信号使得高参数流式细胞术分析变得复杂。在这里,我们提供了一个优化的 30 参数抗体面板,利用光谱流式细胞仪分析正常和转移性小鼠肺部的所有主要免疫细胞类型和状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized full-spectrum flow cytometry panel for deep immunophenotyping of murine lungs.

The lung immune system consists of both resident and circulating immune cells that communicate intricately. The immune system is activated by exposure to bacteria and viruses, when cancer initiates in the lung (primary lung cancer), or when metastases of other cancer types, including breast cancer, spread to and develop in the lung (secondary lung cancer). Thus, in these pathological situations, a comprehensive and quantitative assessment of changes in the lung immune system is of paramount importance for understanding mechanisms of infectious diseases, lung cancer, and metastasis but also for developing efficacious treatments. Unfortunately, lung tissue exhibits high autofluorescence, and this high background signal makes high-parameter flow cytometry analysis complicated. Here, we provide an optimized 30-parameter antibody panel for the analysis of all major immune cell types and states in normal and metastatic murine lungs using spectral flow cytometry.

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来源期刊
Cell Reports Methods
Cell Reports Methods Chemistry (General), Biochemistry, Genetics and Molecular Biology (General), Immunology and Microbiology (General)
CiteScore
3.80
自引率
0.00%
发文量
0
审稿时长
111 days
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