Gene expression profiling of mesenchyme-derived cell populations in the human airways
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE18038 | GEO | 2010/04/01
SECONDARY ACCESSION(S): PRJNA119895
REPOSITORIES: GEO
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Project description:Mesenchyme-derived cells in the human airway wall including airway smooth muscle cells, fibroblasts and myofibroblasts are known to play important roles in airway remodeling. The lack of specific phenotypic markers makes it difficult to define these cell populations in primary cultures. The objectives of this study were to evaluate reported markers and to identify novel markers to define these cell types. We could not identify a specific single marker to define any of these cell populations in vitro that permitted unequivocal identification. We therefore used global gene expression profiling to identify genes that were differentially expressed in human airway mesenchymal cells. 3 samples were analysed in total - low passage human airway smooth muscle (HASM) cells (HASM-LP), high passage HASM cells (HASM-HP), MRC5 (lung fibroblasts) were used in this study for RNA extraction. MRC5 cells were used as the control cell population and were co-hybridised with HASM-LP and HASM-HP on cDNA microarrays. Spot arrays or cDNA arrays were used as a confirmatory gene expression profiling data to affymetrix arrays.
2010-04-01 | E-GEOD-18038 | biostudies-arrayexpress
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2017-10-04 | GSE87683 | GEO
Project description:Intestinal health is sustained by cooperation between diverse cell types, including epithelial cells, immune cells and stromal cells. Colonic stromal cells provide critical structural support but also regulate mucosal immunity, tolerance and inflammatory responses. Although mucosal stromal cells display substantial variability and plasticity, a paucity of unique genetic markers has precluded the identification of distinct stromal populations and functions. We used single-cell RNA-sequencing to uncover heterogeneity and subtype-specific markers of individual colonic stromal cells in health and ulcerative colitis (UC). Marker-free transcriptional clustering revealed four distinct stromal populations in healthy colon, corresponding to myofibroblasts and three previously unknown distinct subsets of fibroblasts. These fibroblast subsets were substantially remodeled in UC compared to healthy colon: inflamed UC colon was depleted for a healthy fibroblast subpopulation associated with epithelial cell homeostasis, and enriched for a novel disease-associated subtype expressing pro-inflammatory genes. Thus, we have discovered new, molecularly distinct colonic stromal cell subtypes that are altered in human disease.
2018-09-26 | GSE95450 | GEO
Project description:Intestinal health is sustained by cooperation between diverse cell types, including epithelial cells, immune cells and stromal cells. Colonic stromal cells provide critical structural support but also regulate mucosal immunity, tolerance and inflammatory responses. Although mucosal stromal cells display substantial variability and plasticity, a paucity of unique genetic markers has precluded the identification of distinct stromal populations and functions. We used single-cell RNA-sequencing to uncover heterogeneity and subtype-specific markers of individual colonic stromal cells in health and ulcerative colitis (UC). Marker-free transcriptional clustering revealed four distinct stromal populations in healthy colon, corresponding to myofibroblasts and three previously unknown distinct subsets of fibroblasts. These fibroblast subsets were substantially remodeled in UC compared to healthy colon: inflamed UC colon was depleted for a healthy fibroblast subpopulation associated with epithelial cell homeostasis, and enriched for a novel disease-associated subtype expressing pro-inflammatory genes. Thus, we have discovered new, molecularly distinct colonic stromal cell subtypes that are altered in human disease.
2018-09-26 | GSE95446 | GEO
Project description:Intestinal health is sustained by cooperation between diverse cell types, including epithelial cells, immune cells and stromal cells. Colonic stromal cells provide critical structural support but also regulate mucosal immunity, tolerance and inflammatory responses. Although mucosal stromal cells display substantial variability and plasticity, a paucity of unique genetic markers has precluded the identification of distinct stromal populations and functions. We used single-cell RNA-sequencing to uncover heterogeneity and subtype-specific markers of individual colonic stromal cells in health and ulcerative colitis (UC). Marker-free transcriptional clustering revealed four distinct stromal populations in healthy colon, corresponding to myofibroblasts and three previously unknown distinct subsets of fibroblasts. These fibroblast subsets were substantially remodeled in UC compared to healthy colon: inflamed UC colon was depleted for a healthy fibroblast subpopulation associated with epithelial cell homeostasis, and enriched for a novel disease-associated subtype expressing pro-inflammatory genes. Thus, we have discovered new, molecularly distinct colonic stromal cell subtypes that are altered in human disease.
2018-09-26 | GSE95435 | GEO
Project description:Myofibroblasts are key effector cells in the extracellular matrix remodeling of systemic sclerosis-associated interstitial lung disease (SSc-ILD), however the diversity of fibroblast populations present in the healthy and SSc-ILD lung is unknown, and has prevented the specific study of the myofibroblast transcriptome. We sought to identify and define the transcriptomes of myofibroblasts and other mesenchymal cell populations in human healthy and SSc-ILD lungs to understand how alterations in fibroblast phenotypes lead to SSc-ILD fibrosis.
2019-08-14 | GSE128169 | GEO
Project description:Single-cell genomic technologies hold great potential to advance our understanding of lung development and disease. A major limitation lies in accessing intact cells from primary lung tissues for profiling human airway health. Sampling methods such as endotracheal aspiration that are compatible with clinical interventions could enable longitudinal studies, the enrollment of large cohorts, and the development of novel diagnostics. To explore single-cell RNA sequencing profiling of the cell types present at birth in the airway lumen of extremely premature neonates (<28 wk gestation), we isolated cells from endotracheal aspirates collected from intubated neonates within the first 1 hour after birth. We generated data on 10 subjects, providing a rich view of airway luminal biology at a critical developmental period. Our results show that cells present in the airways of premature neonates primarily represent a continuum of myeloid differentiation, including fetal monocytes (25% of total), intermediate myeloid populations (48%), and macrophages (2.6%). Applying trajectory analysis to the myeloid populations, we identified two trajectories consistent with the developmental stages of interstitial and alveolar macrophages, as well as a third trajectory presenting an alternative pathway bridging the distinct macrophage precursors. The three trajectories share many dynamic genes (N= 5,451), but also have distinct transcriptional changes (259 alveolar-specific, 666 interstitial-specific, and 285 bridging-specific). Overall, our results define cells isolated within the so-called “golden hour of birth” in extremely premature neonate airways, representing complex lung biology, and can be used in studies of human development and disease.
2023-11-14 | GSE208328 | GEO
Project description:Rationale: DNA methylation is an epigenetic modification that is highly disrupted in response to cigarette smoke and involved in a wide spectrum of malignant and non-malignant diseases, but surprisingly not previously assessed in small airways of patients with chronic obstructive pulmonary disease (COPD). Small airways are the primary sites of airflow obstruction in COPD. We sought to determine whether DNA methylation patterns are disrupted in small airway epithelia of COPD patients, and evaluate whether changes in gene expression are associated with these disruptions. Methods: Genome-wide methylation and gene expression analysis were performed on small airway epithelial DNA and RNA obtained from the same patient during bronchoscopy, using Illumina's Infinium HM27 and Affymetrix's Genechip Human Gene 1.0 ST arrays. To control for known effects of cigarette smoking on DNA methylation, methylation and gene expression profiles were compared between former smokers (FS) with and without COPD matched for age, pack years and years of smoking cessation. Results: Our results indicate that aberrant DNA methylation is i) a genome-wide phenomenon in small airways of patients with COPD and ii) associated with altered expression of genes and pathways important to COPD, such as the Nrf2 oxidative response pathway. Conclusions: DNA methylation is likely an important mechanism contributing to modulation of genes important to COPD pathology. Since these methylation events may underlie disease-specific gene-expression changes, their characterization is a critical first step towards the development of epigenetic markers and an opportunity for developing novel epigenetic therapeutic interventions for COPD. Bisulphite converted DNA from small airway (airways less than <2 mm in diameter) from 38 former smokers: 15 subjects with COPD (post bronchodilator FEV1/FVC ratio <70% and FEV1 predicted M-bM-^IM-$ 80%) and 21 with normal lung function, were hybridized to the Illumina Infinium 27k Human Methylation Beadchip.
2014-02-28 | E-GEOD-55454 | biostudies-arrayexpress
Project description:Responses of the Human Airway Epithelium Transcriptome to In Vivo Injury To identify genes participating in repair of the human airway epithelium following injury, we used bronchoscopy and brushing to denude the airway epithelium of healthy individuals, sequentially sampled the same region 7 and 14 days later, and assessed the recovered epithelium for relative levels of gene expression using Affymetrix high-density oligonucleotide microarrays with TaqMan PCR confirmation. Histologic assessment showed that the epithelium was denuded immediately following injury, at 7 days the epithelium was completely covered but partially de-differentiated, and by 14 days there was close to normal proportions of differentiated cells. Gene expression analysis was carried out with both the Affymetrix Microarray Suite 5.0 and Robust Multi-array Average algorithms, applying a multiple test correction to identify bona fide changes in gene expression. At day 7, there were substantial differences in the gene expression pattern compared to the resting epithelium, with a distinctive airway epithelial “repair transcriptome” of actively proliferating cells in the process of re-differentiation. The repair transcriptome at 7 days was dominated by genes encoding proteins involved in cell cycle regulation, transcription, signal transduction, metabolism and transport. Interestingly, the majority of cell cycle genes differentially expressed at day 7 belonged to the G2 and M late phases of the cell cycle, suggesting that the proliferating cells are relatively synchronized 1 wk following injury. At 14 days post-injury, the majority of the gene expression changes observed at day 7 were no longer observed, with the expression profile similar to that of resting airway epithelium. Using a class prediction algorithm, a group of 50 genes dominated by cell cycle genes, that represent a human airway epithelial “repair signature” was identified. These observations provide a baseline of the functional gene categories participating in the process of normal human airway epithelial repair that can be used in future studies of injury and repair in human airway epithelial diseases. Keywords: response to airway injury
2006-12-12 | GSE5372 | GEO
Project description:Responses of the Human Airway Epithelium Transcriptome to In Vivo Injury; To identify genes participating in repair of the human airway epithelium following injury, we used bronchoscopy and brushing to denude the airway epithelium of healthy individuals, sequentially sampled the same region 7 and 14 days later, and assessed the recovered epithelium for relative levels of gene expression using Affymetrix high-density oligonucleotide microarrays with TaqMan PCR confirmation. Histologic assessment showed that the epithelium was denuded immediately following injury, at 7 days the epithelium was completely covered but partially de-differentiated, and by 14 days there was close to normal proportions of differentiated cells. Gene expression analysis was carried out with both the Affymetrix Microarray Suite 5.0 and Robust Multi-array Average algorithms, applying a multiple test correction to identify bona fide changes in gene expression. At day 7, there were substantial differences in the gene expression pattern compared to the resting epithelium, with a distinctive airway epithelial â??repair transcriptomeâ?? of actively proliferating cells in the process of re-differentiation. The repair transcriptome at 7 days was dominated by genes encoding proteins involved in cell cycle regulation, transcription, signal transduction, metabolism and transport. Interestingly, the majority of cell cycle genes differentially expressed at day 7 belonged to the G2 and M late phases of the cell cycle, suggesting that the proliferating cells are relatively synchronized 1 wk following injury. At 14 days post-injury, the majority of the gene expression changes observed at day 7 were no longer observed, with the expression profile similar to that of resting airway epithelium. Using a class prediction algorithm, a group of 50 genes dominated by cell cycle genes, that represent a human airway epithelial â??repair signatureâ?? was identified. These observations provide a baseline of the functional gene categories participating in the process of normal human airway epithelial repair that can be used in future studies of injury and repair in human airway epithelial diseases. Experiment Overall Design: comparison of gene expression in airway epithelial cells of the large airways, before and after mechanical injury caused by airway brushing
2009-04-10 | E-GEOD-5372 | biostudies-arrayexpress