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Do Airway Epithelium Air-liquid Cultures Represent the In Vivo Airway Epithelium Transcriptome?

ABSTRACT: Human airway epithelial cells cultured in vitro at air-liquid interface (ALI) form a pseudostratified epithelium that forms tight junctions and cilia, and produces mucin, and are widely used as a model of differentiation, injury, and repair. To assess how closely the transcriptome of ALI epithelium matches that of in vivo airway epithelial cells, we used microarrays to compare the transcriptome of human large airway epithelial cells cultured at ALI with the transcriptome of large airway epithelium obtained via bronchoscopy and brushing. Gene expression profiling showed global gene expression correlated well between ALI cells and brushed cells, but there were some differences. Gene expression patterns mirrored differences in proportions of cell types (ALI have higher percentages of basal cells, brushed cells have higher percentages of ciliated cells), with ALI cells expressing higher levels of basal cell-related genes and brushed cells expressing higher levels of cilia-related genes. Pathway analysis showed ALI cells had increased expression of cell cycle and proliferation genes, while brushed cells had increased expression of cytoskeletal organization and humoral immune response genes. Overall, ALI cells are a good representation of the in vivo airway epithelial transcriptome, but for some biologic questions, the differences in the in vitro vs in vivo environments need to be considered.

ORGANISM(S): Homo sapiens

PROVIDER: GSE18637 | GEO | 2010/07/07

SECONDARY ACCESSION(S): PRJNA121413

REPOSITORIES: GEO

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Do Airway Epithelium Air-liquid Cultures Represent the In Vivo Airway Epithelium Transcriptome?

Project description:Human airway epithelial cells cultured in vitro at air-liquid interface (ALI) form a pseudostratified epithelium that forms tight junctions and cilia, and produces mucin, and are widely used as a model of differentiation, injury, and repair. To assess how closely the transcriptome of ALI epithelium matches that of in vivo airway epithelial cells, we used microarrays to compare the transcriptome of human large airway epithelial cells cultured at ALI with the transcriptome of large airway epithelium obtained via bronchoscopy and brushing. Gene expression profiling showed global gene expression correlated well between ALI cells and brushed cells, but there were some differences. Gene expression patterns mirrored differences in proportions of cell types (ALI have higher percentages of basal cells, brushed cells have higher percentages of ciliated cells), with ALI cells expressing higher levels of basal cell-related genes and brushed cells expressing higher levels of cilia-related genes. Pathway analysis showed ALI cells had increased expression of cell cycle and proliferation genes, while brushed cells had increased expression of cytoskeletal organization and humoral immune response genes. Overall, ALI cells are a good representation of the in vivo airway epithelial transcriptome, but for some biologic questions, the differences in the in vitro vs in vivo environments need to be considered. Affymetrix arrays were used to assess the gene expression of large airway cells cultured in vitro at air-liquid interface (12 samples) and large airway epithelial cells obtained by fiberoptic bronchoscopy of 20 healthy nonsmokers. *** Air-liquid interface Samples not provided in this Series. ***

2010-07-07 | E-GEOD-18637 | biostudies-arrayexpress

Smoking is Associated with Shortened Airway Cilia

Project description:Background: Whereas cilia damage and reduced cilia beat frequency have been implicated as causative of reduced mucociliary clearance in smokers, theoretically mucociliary clearance could also be affected by cilia length. Based on models of mucociliary clearance predicting cilia length must exceed the 6 -7 μm airway surface fluid depth to generate force in the mucus layer, we hypothesized cilia height may be decreased in airway epithelium of normal smokers compared to nonsmokers. Methodology/Principal Findings: Cilia length in normal nonsmokers and smokers was evaluated in aldehyde-fixed, paraffin-embedded endobronchial biopsies, and air-dried and hydrated samples brushed from human airway epithelium via fiberoptic bronchoscopy. In 28 endobronchial biopsies, healthy smoker cilia length was reduced 15% compared to nonsmokers (p<0.05). In 47 air-dried samples of airway epithelial cells, smoker cilia length was reduced 13% compared to nonsmokers (p<0.0001). Analysis of the length of individual, detached cilia in 17 samples, smoker cilia length was reduced 9% compared to nonsmokers (p<0.05). Finally, in 16 fully hydrated, unfixed samples, smoker cilia length was reduced 7% compared to nonsmokers (p<0.05). Conclusions/significance: Models predict that a reduction in cilia length would reduce mucociliary clearance, suggesting that smoking-associated shorter airway epithelial cilia plays a significant role in the pathogenesis of smoking-induced lung disease.

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miRNAs high throughput sequencing profiling of regenerating human airway epithelial cells

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Cell culture differentiation and proliferation conditions influence the in vitro regeneration of the human airway epithelium

Project description:The human airway mucociliary epithelium can be recapitulatedin vitro using primary cells cultured in an Air-Liquid Interface (ALI), a reliable surrogate to perform pathophysiological studies. As tremendous variations exist between media used for ALI-cultured human airway epithelial cells, our study aimed to evaluate at a single-cell level the impact of several media (e.g. BEGMTM, PneumaCultTM, “Half&Half” and “Clancy”) on cell type distribution. Our work revealed the impact of these media on cell composition, gene expression profile, cell signaling or epithelial shape. We also established that proliferation in PneumaCultTM-Ex Plus favored secretory cells fate, showing the key influence of proliferation media on late differentiation epithelial characteristics. Altogether, our data offer a comprehensive repertoire for evaluating the effects of culture conditions on airway epithelial differentiation and will help to choose the most relevant medium according to the phenomenon to be investigated such as cilia or mucus biology or viral infection. We detail useful parameters that should be explored to document airway epithelial cell fate and shaping.

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Project description:The aim of this study was to analyze gene expression of primary airway epithelial cells during their differentiation in air-liquid interface ALI culture. Cells from one healthy donor were collected at different days of ALI culture (0,6,9,14 and 21). All samples were sequenced on Illumina NovaSeq6000 platform, in 2x150 mode, with a coverage of 100M reads/sample. Obtained data was later correlated with expression of 14 genes known to be related to airway epithelium differentiation obtained using qRT-PCR technique (TaqMan low density array, TLDA cards).

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Project description:Normal human bronchial epithelial (NHBE) cells cultured in an air-liquid interface (ALI) system form a polarized, pseudostratified epithelium composed of basal, ciliated and goblet cells that closely resemble the in vivo airway epithelium structure. ALI cultures of NHBE cells provide a unique in vitro system to investigate airway epithelial biology, including developmental, structural and physiologic aspects. In this study, we wanted to investigate mRNA expression patterns during airway epithelium differentiation. By using microarrays, we studied the changes in expression of mRNAs in normal human bronchial epithelial cells as they differentiate from an undifferentiated monolayer to a differentiated pseudostratified epithelium after 28 days of air-liquid interface (ALI) culture, when epithelial cells differentially express basal, ciliated and goblet cell markers. Normal human bronchial epithelial cells were cultured in an air-liquid interface (ALI) system and harvested at three different time-points: subconfluent, confluent and day 28 of ALI. Samples were processed for total RNA extraction and hybridization on Affymetrix microarrays. All the experiments were performed by triplicate.

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