Project description:This SuperSeries is composed of the following subset Series: GSE22141: MicroRNA signature during the time course of regeneration of the human airway mucociliary epithelium GSE22142: Transcriptome analysis during the time course of regeneration of the human airway mucociliary epithelium GSE22143: Transcriptomic impact of microRNAs-449 or microRNAs-34 overexpression in proliferating human airway epithelial cells GSE22144: miRNAs high throughput sequencing profiling of regenerating human airway epithelial cells GSE22145: miRNAs high throughput sequencing profiling of basals cells and columnar cells GSE22146: microRNAs signatures of Xenopus laevis embryo epidermis at stage 11 (non ciliated) and 26 (ciliated) using high throughput sequencing Refer to individual Series
Project description:We report the application of single-cell-based sequencing technology for high-throughput profiling of cell types and and transcriptional state of cells in the complex tissue of the human airway epithelium. Our model system is that of polarized human airway epithelial cultures, differentiated from hTert-immortalized basal-like precursor cells.
Project description:The airway mucociliary epithelium is consituted of three main cell types : columnar ciliated plus secretory cells and basal cells. Columnar cells are represented by a great majority of ciliated cells. We used Cell sorting by FACSaria to separate basal cells from ciliated and secreting columnar cells. Then, we performed microRNA high throughput sequencing to investigate the specific signature of microRNA of basal and columnar cells. miRNAs high throughput sequencing profiling of human nasal mucosa: basals cells (B) and columnars (C) cells for 3 donors.
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: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.
Project description:We reported the application of next generation sequencing technology for high-throughput profiling of miRNA expression in bronchile epithelial cell line Beas-2b with epithelial or mesenchymal mophology. By comparation the expression aboundence of known miRNAs between epithelial type and mesenchymal type Beas-2b cells, we found both upregulated and downregulated miRNAs in bronchial epithelial cells during EMT. This study provides a basic condition for further investigation of the roles of the regulated miRNAs during EMT in bronchial epithelial cells.
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: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. MicroRNAs (miRNAs) are short, single-stranded, non-coding RNAs of 20-23 nucleotides that down-regulate gene expression by either inducing degradation of target mRNAs or impairing their translation. They are phylogenetically well conserved, which probably implies an important role of miRNAs in biological processes. In this way, we wanted to shed some light on miRNA specific roles and the relationship with their mRNA targets during airway epithelium differentiation. By using microarrays, we studied the changes in expression of microRNAs 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 (including small RNAs) extraction and hybridization on Affymetrix microarrays. All the experiments were performed by triplicate.