Francesco Palumbo, Miša Gunjak, Patty J. Lee, Stefan Günther, Anne Hilgendorff, István Vadász, Susanne Herold, Werner Seeger, Christian Mühlfeld, Rory E. Morty
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引用次数: 0
Abstract
Flow cytometry and fluorescence-activated cell sorting are widely used to study endothelial cells, for which the generation of viable single-cell suspensions is an essential first step. Two enzymatic approaches, collagenase A and dispase, are widely employed for endothelial cell isolation. In this study, the utility of both enzymatic approaches, alone and in combination, for endothelial cell isolation from juvenile and adult mouse lungs was assessed, considering the number, viability, and subtype composition of recovered endothelial cell pools. Collagenase A yielded an 8-12-fold superior recovery of viable endothelial cells from lung tissue from developing mouse pups, compared to dispase, although dispase proved superior in efficiency for epithelial cell recovery. Single-cell RNA-Seq revealed that the collagenase A approach yielded a diverse endothelial cell subtype composition of recovered endothelial cell pools, with broad representation of arterial, capillary, venous, and lymphatic lung endothelial cells; while the dispase approach yielded a recovered endothelial cell pool highly enriched for one subset of general capillary endothelial cells, but poor representation of other endothelial cells subtypes. These data indicate that tissue dissociation markedly influences the recovery of endothelial cells, and the endothelial subtype composition of recovered endothelial cell pools, as assessed by single-cell RNA-Seq.
流式细胞术和荧光激活细胞分拣技术被广泛用于研究内皮细胞,而生成有活力的单细胞悬浮液是必不可少的第一步。胶原酶 A 和分散酶这两种酶法被广泛用于内皮细胞的分离。在本研究中,考虑到回收内皮细胞池的数量、存活率和亚型组成,评估了这两种酶法单独或联合用于从幼鼠和成年小鼠肺中分离内皮细胞的效用。与分散酶相比,胶原酶 A 从发育中的幼鼠肺组织中回收有活力的内皮细胞的效率要高出 8-12 倍,但事实证明分散酶回收上皮细胞的效率更高。单细胞RNA-Seq显示,胶原酶A法回收的内皮细胞池具有多种内皮细胞亚型组成,广泛代表了动脉、毛细血管、静脉和淋巴肺内皮细胞;而分散酶法回收的内皮细胞池高度富集了普通毛细血管内皮细胞亚型,但其他内皮细胞亚型的代表性较差。这些数据表明,通过单细胞 RNA-Seq 评估,组织解离明显影响内皮细胞的恢复以及恢复的内皮细胞池的内皮亚型组成。
期刊介绍:
Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques.
The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome:
Biomedical Instrumentation Engineering
Biophotonics
Bioinformatics
Cell Biology
Computational Biology
Data Science
Immunology
Parasitology
Microbiology
Neuroscience
Cancer
Stem Cells
Tissue Regeneration.