Department of Burn and Plastic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Laboratory of Stem Cell Biology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Biomed Eng Online. 2021 Feb 17;20(1):22. doi: 10.1186/s12938-021-00858-8.
The detection and dissection of epidermal subgroups could lead to an improved understanding of skin homeostasis and wound healing. Flow cytometric analysis provides an effective method to detect the surface markers of epidermal cells while producing high-dimensional data files.
A 9-color flow cytometric panel was optimized to reveal the heterogeneous subgroups in the epidermis of human skin. The subsets of epidermal cells were characterized using automated methods based on dimensional reduction approaches (viSNE) and clustering with Spanning-tree Progression Analysis of Density-normalized Events (SPADE).
The manual analysis revealed differences in epidermal distribution between body sites based on a series biaxial gating starting with the expression of CD49f and CD29. The computational analysis divided the whole epidermal cell population into 25 clusters according to the surface marker phenotype with SPADE. This automatic analysis delineated the differences between body sites. The consistency of the results was confirmed with PhenoGraph.
A multicolor flow cytometry panel with a streamlined computational analysis pipeline is a feasible approach to delineate the heterogeneity of the epidermis in human skin.
表皮亚群的检测和分离可以帮助我们更好地理解皮肤的稳态和伤口愈合。流式细胞术分析提供了一种有效的方法来检测表皮细胞的表面标志物，同时产生高维数据文件。
优化了一个 9 色流式细胞术面板，以揭示人类皮肤表皮中的异质亚群。基于降维方法（viSNE）和基于密度归一化事件的扩展树渐进分析（SPADE）聚类的自动化方法来描述表皮细胞亚群。
手动分析显示，基于从 CD49f 和 CD29 的表达开始的一系列双轴门控，身体部位的表皮分布存在差异。SPADE 根据表面标志物表型将整个表皮细胞群体分为 25 个簇。这种自动分析描绘了身体部位之间的差异。PhenoGraph 证实了结果的一致性。
带有精简计算分析流程的多色流式细胞术面板是描绘人类皮肤表皮异质性的可行方法。
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