Determining Ciliary Function and Membrane Impermeability of the Pseudostratified Lung Airway Epithelium.

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Muhammad Faheem, Masfique Mehedi
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引用次数: 0

Abstract

Differentiating primary lung airway epithelial cells in the air-liquid interface (ALI) is a popular technique to develop a multi-cellular pseudostratified airway epithelium that mimics the apical side of the lung airway. While the differentiation of primary lung airway cells is expected, the assessment of biophysical properties like ciliary function and membrane impermeability provides a quality assessment of the airway epithelium and ensures the reliability of the experiment. Here, we describe a straightforward protocol for the development of multi-cellular pseudostratified airway epithelium in ALI culture and assess two important biophysical properties: ciliary function and membrane impermeability. To determine ciliary function, we captured the ciliary movement of a 4-week differentiated airway epithelium using a high-speed camera attached to an inverted microscope, followed by quantifying ciliary beat frequency (CBF) using the Simon Amon Video Analysis (SAVA) system. We also measured transepithelial electrical resistance (TEER) using a volt-ohm meter to determine the epithelial barrier integrity of the airway epithelium.

测定假层状肺气道上皮纤毛功能和膜不渗透性。
在气液界面(ALI)中分化原代肺气道上皮细胞是一种流行的技术,可用于模拟肺气道顶端的多细胞假增生气道上皮细胞。虽然原代肺气道细胞的分化是意料之中的事,但对纤毛功能和膜不透性等生物物理特性的评估可提供气道上皮的质量评估并确保实验的可靠性。在这里,我们描述了一种在 ALI 培养中发展多细胞假分层气道上皮的直接方案,并评估了两个重要的生物物理特性:纤毛功能和膜不透性。为了确定纤毛功能,我们使用连接到倒置显微镜上的高速相机捕捉了分化 4 周的气道上皮的纤毛运动,然后使用西蒙-阿蒙视频分析(SAVA)系统量化了纤毛跳动频率(CBF)。我们还使用伏欧计测量了跨上皮电阻(TEER),以确定气道上皮屏障的完整性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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