单元格排序
流式细胞术
分离(微生物学)
巨噬细胞
表型
协议(科学)
核糖核酸
炎症
免疫系统
细胞
生物
分类
计算生物学
免疫学
医学
计算机科学
生物信息学
病理
基因
遗传学
体外
替代医学
程序设计语言
作者
Sebastian Willenborg,Juliana G. Roscito,Alexander Gerbaulet,Axel Roers,Andreas Dahl,Sabine A. Eming,Susanne Reinhardt
出处
期刊:STAR protocols
[Elsevier]
日期:2022-06-01
卷期号:3 (2): 101337-101337
被引量:1
标识
DOI:10.1016/j.xpro.2022.101337
摘要
Understanding macrophage heterogeneity in tissue repair is a major challenge. Here, we describe a protocol that combines isolation of immune cells from skin wounds with subsequent flow-cytometry-based sorting of wound macrophages and single-cell RNA sequencing. We use a modified version of the original Smart-seq2 protocol to increase speed and accuracy. This protocol is useful for analyzing the pronounced heterogeneity of activation phenotypes in wound macrophages and might be adapted to other experimental models of skin inflammation. For complete details on the use and execution of this protocol, please refer to Willenborg et al. (2021).
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