Exploring intrinsic variability between cultured nasal and bronchial epithelia in cystic fibrosis
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ABSTRACT:
PROVIDER: PRJNA1010116 | ENA |
REPOSITORIES: ENA
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Project description:The nasal and bronchial epithelium are unified parts of the respiratory tract that are affected in the monogenic disorder cystic fibrosis (CF). Recent studies have uncovered that nasal and bronchial tissues exhibit intrinsic variability, including differences in mucociliary cell composition and expression of unique transcriptional regulatory proteins which relate to germ layer origin. In the present study, we explored transcriptomic differences between cultured nasal and bronchial epithelial cells from people with CF. Comparison of air-liquid interface-differentiated epithelial cells from subjects with CF revealed distinct mucociliary differentiation states of nasal and bronchial cultures. Moreover, using RNA sequencing we identified cell type-specific signature transcription factors in differentiated nasal and bronchial epithelial cells.
2023-11-21 | GSE241801 | GEO
Project description:The nasal and bronchial epithelium are unified parts of the respiratory tract that are affected in the monogenic disorder cystic fibrosis (CF). Recent studies have uncovered that nasal and bronchial tissues exhibit intrinsic variability, including differences in mucociliary cell composition and expression of unique transcriptional regulatory proteins which relate to germ layer origin. In the present study, we explored whether intrinsic differences between nasal and bronchial epithelial cells persist in cell cultures and affect epithelial cell functioning in CF. Comparison of air-liquid interface (ALI) differentiated epithelial cells from subjects with CF revealed distinct mucociliary differentiation states of nasal and bronchial cultures. Moreover, using RNA sequencing we identified cell type-specific signature transcription factors in differentiated nasal and bronchial epithelial cells, some of which were already poised for expression in basal progenitor cells as evidenced by ATAC sequencing. Analysis of differentiated nasal and bronchial epithelial 3D organoids revealed distinct capacities for fluid secretion, which was linked to differences in ciliated cell differentiation. In conclusion, we show that unique phenotypical and functional features of nasal and bronchial epithelial cells persist in cell culture models, which can be further used to investigate the effects of tissue-specific features on upper and lower respiratory disease development in CF.
| S-EPMC10616285 | biostudies-literature
Project description:We performed ribosome profiling in Cystic Fibrosis Bronchial Epithelial cells which data set is used to calcualte codon-specific ribosome occupancy using the approach described by Lareau et al. eLife 2014.
2017-05-18 | GSE74365 | GEO
Project description:Gene expression profiles were recorded from rectal suction specimens of Cystic Fibrosis (CF) patients, carrying the CF-specific D508 mutated CFTR-allele. These profiles were compared with gene expression profiles from rectal suction specimens of non-CF subjects (control). We used Affymetrix GeneChip HG-U133A microarrays to record the gene expression profile of 16 CF and 13 non-CF individuals. Rectal suction specimens representing rectal mucosal epithelia were collected from CF patients and non-CF individuals. Biopsies were analyzed for residual function using ICM and total RNA was isolation immediately using the Qiagen RNeasy protocol with on column DNA digestion. About 1-5 µg RNA were obtained from each individual. Integrity of total RNA samples was monitored by gel-electrophoresis before cDNA synthesis. Labeled cRNA synthesis and hybridization was performed following standard protocols.
2013-11-28 | E-GEOD-15568 | biostudies-arrayexpress
Project description:Cystic Fibrosis (CF) is a genetic disorder CF is caused by mutations of the gene encoding for the cystic fibrosis transmembrane conductance regulator protein (CFTR), a transmembrane anion channel expressed at the apical membrane of several organs, including the epithelial cells of the airway. CFTR mutations result in dysfunctional ion transport across the apical membrane at the surface of the epithelia, generating thickened and dehydrated secretions. In the lung, this leads to a decrease in the mucociliary clearance, favoring bacterial colonization and progressive obstruction of the duct. Although over 2000 CFTR variants have been identified so far, the most common mutation is a deletion of the phenylalanine in position 508 (F508del), which shows an allelic frequency of around 90% among CF patients. F508del-CFTR is incorrectly folded, causing its retention at the endoplasmic reticulum (ER) and subsequent proteasomal degradation. Among the several drugs available in CF pharmacological treatment, VX-809 (commercial name Lumacaftor) is the most used drug for patients carrying F508del-CFTR mutation. This drug corrects the aberrant folding of F508del-CFTR by favoring the correct intramolecular interactions, thus enabling a higher number of copies of the defective protein to reach the plasma membrane. We applied SWATH-based proteomics to understand if a pharmacological rescue of F508del-CFTR is associated with changes in global protein expression of the human bronchial epithelium by using the CFBE41o- cell model, a line that stably expresses F508del-CFTR.
2022-08-11 | PXD028355 | Pride
Project description:The evolutionary relationship of cells within tissues having a similar function but located in different anatomical sites is of considerable biological interest. The development of single-cell RNA sequencing (scRNA-seq) protocols has greatly enhanced opportunities to address this topic. Here we focus on cells in the epithelium which lines two regions of the human respiratory tract and the male genital ducts to delineate the shared, differentiated functions of the different cell populations. Transcriptomic data were used to assess the gene expression profiles of human bronchial, nasal, and epididymal epithelium (HBE, HNE, and HEE). Bulk RNA-seq showed many shared genes expressed in cells from the nasal and bronchial epithelium and highlighted their divergence from the epididymal epithelium. ScRNA-seq in HBE and HNE cells demonstrated overlapping gene expression patterns within basal and secretory cell populations. Moreover, the distribution of cell types was altered in HNE cells derived from donors with cystic fibrosis (CF) when compared to cells from healthy donors. Next, the HBE and HNE datasets were merged and confirmed intersection of cell type gene expression profiles from the two sites, but that secretory and ciliated cells were the most abundant type in the HBE samples, while more basal cells were seen in the HNE. We then merged single-cell data from the epididymis to determine if overlapping functions of these cells corresponded to those in the airway. Of note, only the pulmonary ionocytes/epididymis clear cells showed a strongly conserved identity, which was confirmed by imputation in bulk RNA-seq datasets from the same cells.
2022-05-23 | GSE191060 | GEO
Project description:The evolutionary relationship of cells within tissues having a similar function but located in different anatomical sites is of considerable biological interest. The development of single-cell RNA sequencing (scRNA-seq) protocols has greatly enhanced opportunities to address this topic. Here we focus on cells in the epithelium which lines two regions of the human respiratory tract and the male genital ducts to delineate the shared, differentiated functions of the different cell populations. Transcriptomic data were used to assess the gene expression profiles of human bronchial, nasal, and epididymal epithelium (HBE, HNE, and HEE). Bulk RNA-seq showed many shared genes expressed in cells from the nasal and bronchial epithelium and highlighted their divergence from the epididymal epithelium. ScRNA-seq in HBE and HNE cells demonstrated overlapping gene expression patterns within basal and secretory cell populations. Moreover, the distribution of cell types was altered in HNE cells derived from donors with cystic fibrosis (CF) when compared to cells from healthy donors. Next, the HBE and HNE datasets were merged and confirmed intersection of cell type gene expression profiles from the two sites, but that secretory and ciliated cells were the most abundant type in the HBE samples, while more basal cells were seen in the HNE. We then merged single-cell data from the epididymis to determine if overlapping functions of these cells corresponded to those in the airway. Of note, only the pulmonary ionocytes/epididymis clear cells showed a strongly conserved identity, which was confirmed by imputation in bulk RNA-seq datasets from the same cells.
2022-05-23 | GSE191041 | GEO
Project description:Long non-coding RNAs (lncRNAs) have emerged recently as key regulatory molecules with diverse roles at almost every level of the regulation of gene expression. The roles of these RNAs in the pathogenesis of cystic fibrosis (CF); a lethal multisystem, autosomal recessive disorder have yet to be explored. Our aim was to examine the expression profile of lncRNA, in the airway epithelium of people with CF. We examined the expression of 30,586 lncRNAs by microarray (Human LncRNA Array v3.0, Arraystar, Inc), in vivo in bronchial cells isolated from endobronchial brushings obtained from CF and non-CF individuals. In total, we identified 1,063 lncRNAs with differential expression between CF and non-CF individuals (fold changeM-bM-^IM-%3, pM-bM-^IM-$0.001). The microarray also contained probes for ~26,109 protein coding transcripts, of which 720 were differentially expressed between CF and non-CF brush samples (fold changeM-bM-^IM-%3, pM-bM-^IM-$0.001). Confirmation of a selection of differentially expressed coding mRNA and lncRNA transcripts such as TLR8 and XIST was achieved using qRT-PCR. Gene ontology bioinformatics analysis, highlighted that many processes over-represented in the CF bronchial epithelium are related to inflammation. These data show a significantly altered lncRNA and mRNA expression profile in CF bronchial cells in vivo. Dysregulation of some of these lncRNAs may play important roles in the chronic infection and inflammation that exists in the lungs of people with CF. RNA was extracted from bronchial epithelial cells obtained from bronchial brushings at bronchoscopy. Three individual biological replicates from each group (Non-CF and CF) were profiled by microarray.
2014-03-10 | E-GEOD-55146 | biostudies-arrayexpress
Project description:Cell function and identity revealed by comparative scRNA-seq analysis in human nasal, bronchial and epididymis epithelia.
| PRJNA789548 | ENA
Project description:Long non-coding RNAs (lncRNAs) have emerged recently as key regulatory molecules with diverse roles at almost every level of the regulation of gene expression. The roles of these RNAs in the pathogenesis of cystic fibrosis (CF); a lethal multisystem, autosomal recessive disorder have yet to be explored. Our aim was to examine the expression profile of lncRNA, in the airway epithelium of people with CF. We examined the expression of 30,586 lncRNAs by microarray (Human LncRNA Array v3.0, Arraystar, Inc), in vivo in bronchial cells isolated from endobronchial brushings obtained from CF and non-CF individuals. In total, we identified 1,063 lncRNAs with differential expression between CF and non-CF individuals (fold change≥3, p≤0.001). The microarray also contained probes for ~26,109 protein coding transcripts, of which 720 were differentially expressed between CF and non-CF brush samples (fold change≥3, p≤0.001). Confirmation of a selection of differentially expressed coding mRNA and lncRNA transcripts such as TLR8 and XIST was achieved using qRT-PCR. Gene ontology bioinformatics analysis, highlighted that many processes over-represented in the CF bronchial epithelium are related to inflammation. These data show a significantly altered lncRNA and mRNA expression profile in CF bronchial cells in vivo. Dysregulation of some of these lncRNAs may play important roles in the chronic infection and inflammation that exists in the lungs of people with CF.
2014-03-10 | GSE55146 | GEO