Transcriptome Analysis in Peripheral Airway Epithelium of Distinct Lung microbiome
Ontology highlight
ABSTRACT: In this study, we assessed lower airway microbiome from a cohort of patients to determine whether specific microbiome taxa correlate with with specific metabolic activities. In a subset of 12 patients, transcriptomic expression were analyzed to compare host mucosa immune response We collected peripheral airway brushings from the 12 subjects whose lung microbiome were analyzed; Total RNA were obtained from the peripheral airway epithelium.
Project description:Field of cancerization in the airway epithelium has been increasing examined to understand early pathogenesis of non-small cell lung cancer. This study uses microarray high-throughput technologies to characterize the molecular aberrations in the terminal airway and bronchoalveolar cells in the context of field cancerization in high-risk smokers and lung cancer patients. We collected peripheral airway brushings from the contral-lateral lung of the tumor from cancer patients (n=17) and smoker controls (n=13); Total RNA were obtained from the peripheral airway epithelium.
Project description:Field of cancerization in the airway epithelium has been increasing examined to understand early pathogenesis of non-small cell lung cancer. This study uses microarray high-throughput technologies to characterize the molecular aberrations in the terminal airway and bronchoalveolar cells in the context of field cancerization in high-risk smokers and lung cancer patients. We collected peripheral airway brushings from the contral-lateral lung of the tumor from cancer patients (n=17) and smoker controls (n=13); Total RNA were obtained from the peripheral airway epithelium.
Project description:In a prior report, we observed two distinct lung microbiomes in healthy subjects that we termed â??pneumotypesâ??: pneumotypeSPT, characterized by high bacterial load and supraglottic predominant taxa (SPT) such as the anaerobes Prevotella and Veillonella; and pneumotypeBPT, with low bacterial burden and background predominant taxa (BPT) found in the saline lavage and bronchoscope. Here, we determined the prevalence of these two contrasting lung microbiome types, in a multi-center study of healthy subjects. We confirmed that a lower airway microbiome enriched with upper airway microbes (pneumotypeSPT) was present in ~45% of healthy individuals. Cross-sectional Multicenter cohort. BAL of 49 healthy subjects from three cohort had their lower airway microbiome assessed by 16S rDNA sequencing and microbial gene content (metagenome) was computationally inferred from taxonomic assignments. The amplicons from total 100 samples are barcoded; the barcode and other clinical characteristics (e.g. inflammatory biomarkers and metabolome data) for each sample are provided in the 'Pneumotype.sep.Map.A1.txt' file.
Project description:In a prior report, we observed two distinct lung microbiomes in healthy subjects that we termed “pneumotypes”: pneumotypeSPT, characterized by high bacterial load and supraglottic predominant taxa (SPT) such as the anaerobes Prevotella and Veillonella; and pneumotypeBPT, with low bacterial burden and background predominant taxa (BPT) found in the saline lavage and bronchoscope. Here, we determined the prevalence of these two contrasting lung microbiome types, in a multi-center study of healthy subjects. We confirmed that a lower airway microbiome enriched with upper airway microbes (pneumotypeSPT) was present in ~45% of healthy individuals.
Project description:In this study, we assessed lower airway microbiome from a cohort of patients to determine whether specific microbiome taxa correlate with with specific metabolic activities. In a subset of 12 patients, transcriptomic expression were analyzed to compare host mucosa immune response
Project description:A number of studies have shown that cigarette smoking produces a field defect, such that genetic mutations induced by smoking occur throughout the lung and its intra and extra-pulmonary airways. Based on this concept, we have begun this study, which has as its goal the definition of the normal airway transcriptome, an analysis of how that transcriptome is affected by cigarette smoke, and to explore the reversibility of altered gene expression when smoking has been discontinued. We have obtained brushings from intra-pulmonary airways (the right upper lobe carina) and scrapings from the buccal mucosa, from normal smoking and non-smoking volunteers (including 34 Current Smokers, 23 Never Smokers and 18 Former Smokers). RNA was isolated from these samples and gene expression profiles from intra-pulmonary airway epithelial cells were analyzed using Affymetrix U133A human gene expression arrays. All microarray data from the experiments described above have been stored, preprocessed and analyzed in a relational MySQL database that is accessible through our website at http://pulm.bumc.bu.edu/aged
Project description:Sub-Saharan Africa represents 69% of the total number of individuals living with HIV infection worldwide and 72% of AIDS deaths globally. Pulmonary infection is a common and frequently fatal complication, though little is known regarding the lower airway microbiome composition of this population. Our objectives were to characterize the lower airway microbiome of Ugandan HIV-infected patients with pneumonia, to determine relationships with demographic, clinical, immunological, and microbiological variables and to compare the composition and predicted metagenome of these communities to a comparable cohort of patients in the US (San Francisco). Bronchoalveolar lavage samples from a cohort of 60 Ugandan HIV-infected patients with acute pneumonia were collected. Amplified 16S ribosomal RNA was profiled and aforementioned relationships examined. Ugandan airway microbiome composition and predicted metagenomic function were compared to US HIV-infected pneumonia patients. Among the most common bacterial pulmonary pathogens, Pseudomonas aeruginosa was most prevalent in the Ugandan cohort. Patients with a richer and more diverse airway microbiome exhibited lower bacterial burden, enrichment of members of the Lachnospiraceae and sulfur-reducing bacteria and reduced expression of TNF-alpha and matrix metalloproteinase-9. Compared to San Franciscan patients, Ugandan airway microbiome were significantly richer, and compositionally distinct with predicted metagenomes that encoded a multitude of distinct pathogenic pathways e.g secretion systems. Ugandan pneumonia-associated airway microbiome is compositionally and functionally distinct from those detected in comparable patients in developed countries, a feature which may contribute to adverse outcomes in this population. Please note that the data from the comparable cohort of patients in the USUS data was published as supplemental material of PMID: 22760045 but not submitted to GEO The 'patient_info.txt' contains 12 clinical, 7 immunological and 3 microbiological variables for each patient. The G2 PhyloChip microarray platform (commercially available from Second Genome, Inc.) was used to profile bacteria in lower airway samples from 60 subjects
Project description:Background. The human airway epithelium consists of 4 major cell types: ciliated, secretory, columnar and basal cells. During natural turnover and in response to injury, the airway basal cells function as stem / progenitor cells for the other airway cell types. The objective of this study is to better understand basal cell biology by defining the subset of expressed genes that characterize the signature of human airway epithelial basal cells. Methodology / Principal Findings. Microarrays were used to assess the transcriptome of basal cells purified from the airway epithelium of healthy nonsmokers obtained by bronchial brushings in comparison to the transcriptome of the complete differentiated airway epithelium. This analysis identified the “human airway basal cell signature” as 1,161 unique genes with >5-fold higher expression level in basal cells compared to the differentiated epithelium. The basal cell signature was suppressed when the basal cells differentiated into a ciliated airway epithelium in vitro. The human airway basal cell signature displayed extensive overlap with genes expressed in basal cells from other human tissues and murine airway basal cells. Consistent with self-modulation as well as signaling to other airway cell types, the airway basal cell signature was characterized by genes encoding extracellular matrix components, and growth factors and growth factor receptors, including genes related to EGFR and VEGFR signaling. However, while human airway basal cells share similarity with basal-like cells of other organs, the human airway basal cell signature has features not previously associated with this cell type, including a unique pattern of genes encoding extracellular matrix components, integrins, G protein-coupled receptors, neuroactive ligands and receptors, and ion channels. Conclusion / Significance. The human airway epithelial basal cells signature identified in the present study provides novel insights into the ontogeny, molecular phenotype and biology of the stem / progenitor cells of the human airway epithelium. This study was designed to distinguish the transcriptome of the airway epithelium basal cell from that of differentiated airway epithelium. A basal cell signature was derived and analyzed for functional significance. The signature was also evaluated as basal cells differentiated into ciliated epithelium in vitro.
Project description:Human Rhinovirus (HRV) infection can trigger exacerbations of asthma. Understanding of the mechanisms provoking airway inflammation and remodeling in asthma, as well as the pathogenic mechanisms of HRV infection and its association with asthma exacerbations, may offer significant opportunities for improved disease management. Genome-wide expression analysis of HRV type 1A-infected primary bronchial epithelial (PBE) cells from normal and asthmatic donors was performed to determine whether asthma is associated with a unique pattern of gene expression after HRV infection in vitro. Experiment Overall Design: Frozen stocks of human PBE cells obtained from the bronchial brushings of six normal and five asthmatic individuals were grown in vitro in Bronchial Epithelial Growth Media (BEGM, Lonza). Subconfluent monolayers of PBE cells were infected with purified and concentrated minor group HRV serotype 1A at multiplicity of infection of 10 plaque forming units (pfu) per cell or mock-infected with growth media alone. Cells were lysed 16 hours post infection (p.i.) and isolated total RNAs were analyzed using the Human Genome U133 Plus 2.0 GeneChip arrays (Affymetrix, Santa Clara, CA).