Verckist Line, Lembrechts Robrecht, Thys Sofie, Pintelon Isabel, Timmermans Jean-Pierre, Brouns Inge, Adriaensen Dirk
Laboratory of Cell Biology and Histology, Department of Veterinary Sciences, University of Antwerp, Universiteitsplein 1, BE-2610, Antwerpen, Wilrijk, Belgium.
Respir Res. 2017 May 8;18(1):87. doi: 10.1186/s12931-017-0571-4.
The pulmonary neuroepithelial body (NEB) microenvironment (ME) consists of innervated cell clusters that occur sparsely distributed in the airway epithelium, an organization that has so far hampered reliable selective gene expression analysis. Although the NEB ME has been suggested to be important for airway epithelial repair after ablation, little is known about their potential stem cell characteristics in healthy postnatal lungs. Here we report on a large-scale selective gene expression analysis of the NEB ME.
A GAD67-GFP mouse model was used that harbors GFP-fluorescent NEBs, allowing quick selection and pooling by laser microdissection (LMD) without further treatment. A panel of stem cell-related PCR arrays was used to selectively compare mRNA expression in the NEB ME to control airway epithelium (CAE). For genes that showed a higher expression in the NEB ME, a ranking was made based on the relative expression level. Single qPCR and immunohistochemistry were used to validate and quantify the PCR array data.
Careful optimization of all protocols appeared to be essential to finally obtain high-quality RNA from pooled LMD samples of NEB ME. About 30% of the more than 600 analyzed genes showed an at least two-fold higher expression compared to CAE. The gene that showed the highest relative expression in the NEB ME, Delta-like ligand 3 (Dll3), was investigated in more detail. Selective Dll3 gene expression in the NEB ME could be quantified via single qPCR experiments, and Dll3 protein expression could be localized specifically to NEB cell surface membranes.
This study emphasized the importance of good protocols and RNA quality controls because of the, often neglected, fast RNA degradation in postnatal lung samples. It was shown that sufficient amounts of high-quality RNA for reliable complex gene expression analysis can be obtained from pooled LMD-collected NEB ME samples of postnatal lungs. Dll3 expression, which has also been reported to be important in high-grade pulmonary tumor-initiating cells, was used as a proof-of-concept to confirm that the described methodology represents a promising tool for further unraveling the molecular basis of NEB ME physiology in general, and its postnatal stem cell capacities in particular.
肺神经上皮小体(NEB)微环境(ME)由稀疏分布于气道上皮中的神经支配细胞簇组成,这种组织结构迄今阻碍了可靠的选择性基因表达分析。尽管有人提出NEB微环境对消融后的气道上皮修复很重要,但对于其在健康出生后肺中的潜在干细胞特性知之甚少。在此,我们报告了对NEB微环境的大规模选择性基因表达分析。
使用GAD67-GFP小鼠模型,其含有绿色荧光蛋白(GFP)标记的NEB,无需进一步处理即可通过激光显微切割(LMD)快速选择和汇集。使用一组与干细胞相关的PCR阵列,选择性地比较NEB微环境与对照气道上皮(CAE)中的mRNA表达。对于在NEB微环境中表达较高的基因,根据相对表达水平进行排名。使用单重qPCR和免疫组织化学来验证和量化PCR阵列数据。
仔细优化所有方案似乎对于最终从NEB微环境的LMD汇集样本中获得高质量RNA至关重要。在600多个分析基因中,约30%的基因与CAE相比表达至少高出两倍。对在NEB微环境中相对表达最高的基因Delta样配体3(Dll3)进行了更详细的研究。通过单重qPCR实验可以量化NEB微环境中Dll3基因的选择性表达,并且Dll3蛋白表达可以特异性定位于NEB细胞表面膜。
这项研究强调了良好方案和RNA质量控制的重要性,因为出生后肺样本中RNA快速降解这一常常被忽视的问题。结果表明,从出生后肺的LMD收集的NEB微环境汇集样本中可以获得足够量的高质量RNA,用于可靠的复杂基因表达分析。Dll3表达在高级别肺肿瘤起始细胞中也被报道很重要,以此作为概念验证,证实所描述的方法是进一步揭示NEB微环境生理学分子基础,特别是其出生后干细胞能力的一个有前途的工具。