肺
肺泡细胞
电池类型
生物
细胞外基质
细胞生物学
肺泡上皮
A549电池
淋巴系统
免疫学
病理
细胞
上皮
医学
内科学
遗传学
作者
Yves Donati,Sanja Blašković,Isabelle Ruchonnet-Métrailler,J. Lascano Maillard,Constance Barazzone‐Argiroffo
出处
期刊:American Journal of Physiology-lung Cellular and Molecular Physiology
[American Physiological Society]
日期:2020-02-05
卷期号:318 (4): L619-L630
被引量:19
标识
DOI:10.1152/ajplung.00227.2019
摘要
Mouse lung developmental maturation and final alveolarization phase begin at birth. During this dynamic process, alveolar cells modify their morphology and anchorage to the extracellular matrix. In particular, alveolar epithelial cell (AEC) type I undergo cytoplasmic flattening and folding to ensure alveoli lining. We developed FACS conditions for simultaneous isolation of alveolar epithelial and endothelial cells in the absence of specific reporters during the early and middle alveolar phase. We evidenced for the first time a pool of extractable epithelial cell populations expressing high levels of podoplanin at postnatal day (pnd)2, and we confirmed by RT-qPCR that these cells are already differentiated but still immature AEC type I. Maturation causes a decrease in isolation yields, reflecting the morphological changes that these cell populations are undergoing. Moreover, we find that major histocompatibility complex II (MHCII), reported as a good marker of AEC type II, is poorly expressed at pnd2 but highly present at pnd8. Combined experiments using LysoTracker and MHCII demonstrate the de novo acquisition of MCHII in AEC type II during lung alveolarization. The lung endothelial populations exhibit FACS signatures from vascular and lymphatic compartments. They can be concomitantly followed throughout alveolar development and were obtained with a noticeable increased yield at the last studied time point (pnd16). Our results provide new insights into early lung alveolar cell isolation feasibility and represent a valuable tool for pure AEC type I preparation as well as further in vitro two- and three-dimensional studies.
科研通智能强力驱动
Strongly Powered by AbleSci AI