Project description:To investigate the biochemical and genetic alterations that occur in response to cigarette smoke exposure among airway epithelial cells from different sites in the lungs, we performed microarray-based analysis using small airway epithelial cells (SAEC) and normal human bronchial epithelial cells (NHBE) following 24 h of cigarette smoke extract (CSE). In microarray-based analysis, the small airway showed higher susceptibility to CS compared to the large airway, such as enhanced expression of inflammatory-related pathways including the TNF signaling pathway. Among the TNF-related genes, PTGS2, also known as COX-2, showed the greatest difference in expression levels, with higher CSE-induced increments of both mRNA and protein expression in SAEC compared to NHBE.
Project description:We have developed a new model of the human airway epithelial cell by deriving the cell-specific metabolic reactions identified from (i) a draft automated model by Wang et al. 2017 (ii) gene expression datasets of the human airway epithelial cell (Deprez et al., 2020; Braga et al., 2020). (iii) We obtained additional reactions, gene-to-reaction associations and pathways (that were not in the automated model) from HumanCyc (Trupp et al., 2010) and (iv) performed stochastic and dynamic simulations on the model generated including manual curations from primary literature and Recon3D (Brunk et al., 2018). (v) We added the viral biomass maintenance function into the model, previously developed for the macrophage cell (Renz et al. 2020) to develop the new integrated model of the human airway epithelial cell and the SARS-CoV-2 virus, (iBBEC4660).
Project description:A variety of airborne pathogens can induce inflammatory responses in airway epithelial cells, which is a crucial component of host defence. However, excessive inflammatory responses and chronic inflammation also contribute to different diseases in the respiratory system. We hypothesized that the activation of protein kinase C (PKC) is one of the essential mechanisms of inflammatory responses in airway epithelial cells. In the present study, we stimulated human bronchial lung epithelial (BEAS-2B) cells with phorbol ester Phorbol 12, 13-dibutyrate (PDBu), and examined gene expression profile with microarray analysis. Bioinformatics suggested that PKC activation induced dramatic changes in gene expression related to multiple cellular functions. The top two functional networks of genes were centered on NFM-NM-:B and TNF-M-NM-1, which are two commonly known pathways for cell death and inflammation. Subsequent tests confirmed the decrease in cell viability and increase in the production of various cytokines. Interestingly, each of the increased cytokines was differentially regulated at mRNA and/or protein levels by different sub-class of PKC isozymes. We conclude that many pathogen-induced cell death and cytokine production in airway epithelial cells may be mediated through PKC related signaling pathways. These findings suggest that PKCs can be new targets for treatments of lung diseases. Three groups of BEAS-2B cells were prepared: control, 0.5 hour of PDBu stimulation, and 4 hours of PDBu stimulation. Each group consisted of three biological replicates.
Project description:A variety of airborne pathogens can induce inflammatory responses in airway epithelial cells, which is a crucial component of host defence. However, excessive inflammatory responses and chronic inflammation also contribute to different diseases in the respiratory system. We hypothesized that the activation of protein kinase C (PKC) is one of the essential mechanisms of inflammatory responses in airway epithelial cells. In the present study, we stimulated human bronchial lung epithelial (BEAS-2B) cells with phorbol ester Phorbol 12, 13-dibutyrate (PDBu), and examined gene expression profile with microarray analysis. Bioinformatics suggested that PKC activation induced dramatic changes in gene expression related to multiple cellular functions. The top two functional networks of genes were centered on NFκB and TNF-α, which are two commonly known pathways for cell death and inflammation. Subsequent tests confirmed the decrease in cell viability and increase in the production of various cytokines. Interestingly, each of the increased cytokines was differentially regulated at mRNA and/or protein levels by different sub-class of PKC isozymes. We conclude that many pathogen-induced cell death and cytokine production in airway epithelial cells may be mediated through PKC related signaling pathways. These findings suggest that PKCs can be new targets for treatments of lung diseases.
Project description:Epithelial-mesenchymal transition (EMT) plays a critical role in airway injury, repair, and structural remodeling. Although NFkB/RelA subnit is involved in late EMT-associated gene expression, RelA translocation is occurs later than early phases of IκB kinase (IKK)-depenedent gene expression. To investigate the hypothesis that IKK plays an independent mechanism in TGF-induced EMT, we conducted time-series proteomics and phosphoproteomics analysis of human airway epithelial cells in the absence or presence of a specific IKK inhibitor, BMS -345541.
Project description:We are interested in having the gene microarray done on untreated and PMA treated (10 nM x 24 hr) human and mouse epithelial cells lines including CALU-3, MLE-15, primary bronchial human airway epithelial cells. We are especially interested in seeing whether sialyl or sulfo transferases, and MUC genes, are present and if they are induced by PMA. We hope to use this information to optimize future experiments designed to identify Siglec lung ligands. The lab is interested in studying untreated and PMA treated (10 nM x 24 hr) human and mouse epithelial cells lines including CALU-3, MLE-15, primary bronchial human airway epithelial cells. With special interest in understanding whether sialyl or sulfo transferases, and MUC genes, are present and if they are induced by PMA.
Project description:We report the application of RNA sequencing technology for high-throughput profiling of gene expression responses to human rhinovirus infection at 24 hours in air-liquid interface human airway epithelial cell cultures derived from 6 asthmatic and 6 non-asthmatic donors. RNA-seq analysis identified sets of genes associated with asthma specific viral responses. These genes are related to inflammatory pathways, epithelial remodeling and cilium assembly and function, including those described previously (e.g. CCL5, CXCL10 and CX3CL1), and novel ones that were identified for the first time in this study (e.g. CCRL1, CDHR3). We concluded that air liquid interface cultured human airway epithelial cells challenged with live HRV are a useful in vitro model for the study of rhinovirus induced asthma exacerbation, given that our findings are consistent with clinical data sets. Furthermore, our data suggest that abnormal airway epithelial structure and inflammatory signaling are important contributors to viral induced asthma exacerbation. Differentiated air-liquid interface cultured human airway epithelial cell mRNA profiles from 6 asthmatic and 6 non-asthmatic donors after 24 hour treatment with either HRV or vehicle control were generated by deep sequencing, using Illumina HiSeq 2000.
Project description:This series includes 1 microarray used to detect a human metapneumovirus strain associated with critical respiratory illness in an elderly male with leukemia (Chiu, et al 2006) Keywords: viral detection