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优化的全谱流式细胞术面板用于深度免疫表型分析小鼠肺部。

Optimized full-spectrum flow cytometry panel for deep immunophenotyping of murine lungs.

机构信息

Department of Biomedicine, University Hospital Basel, University of Basel, 4031 Basel, Switzerland; Department of Surgery, University Hospital Basel, 4031 Basel, Switzerland.

BioLegend, Inc., San Diego, CA 92121, USA.

出版信息

Cell Rep Methods. 2024 Nov 18;4(11):100885. doi: 10.1016/j.crmeth.2024.100885. Epub 2024 Oct 30.

Abstract

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.

摘要

肺部免疫系统包括常驻和循环免疫细胞,它们之间存在着错综复杂的相互作用。当肺部暴露于细菌和病毒时,免疫系统会被激活,此时癌症在肺部(原发性肺癌)起始,或者当其他癌症类型(包括乳腺癌)的转移灶扩散到肺部并在肺部发展(继发性肺癌)时,免疫系统也会被激活。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理解传染病、肺癌和转移的机制至关重要,同时也有助于开发有效的治疗方法。不幸的是,肺部组织具有较高的自发荧光,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 个参数的抗体面板,用于使用光谱流式细胞术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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9011/11705587/f3b497062b8a/fx1.jpg

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