Project description:mRNA expression was assayed from bronchial epithelial cells collected via bronchoscopy and nasal epithelial cells collected by brushing the inferior turbinate from healthy current and never smoker volunteers in order to determine the relationship between smoking-related gene expression changes in bronchial and nasal epithelium within the same individual.
Project description:mRNA expression was assayed from bronchial epithelial cells collected via bronchoscopy and nasal epithelial cells collected by brushing the inferior turbinate from healthy current and never smoker volunteers in order to determine the relationship between smoking-related gene expression changes in bronchial and nasal epithelium within the same individual. Bronchial epithelial cells were collected from current and never smokers via bronchoscopy, and nasal epithelial cells were collected by brushing the inferior turbinate during the same clinic visit. 1ug of RNA was isolated and hybridized to Affymetrix Human Exon 1.0 ST microarrays to obtain mRNA expression. The genome build upon which transcript assignments are based is hg18 (HuEx-1_0-st-v2.na27.hg18.transcript.csv).
Project description:Dysbiotic oral bacterial communities have a critical role in the etiology and progression of periodontal diseases. The goal of this study was to investigate the extent to which smoking increases risk for disease by influencing the composition of the subgingival microbiome in states of clinical health. Subgingival plaque samples were collected from 200 systemically and periodontally healthy smokers and nonsmokers. 16S pyrotag sequencing was preformed generating 1,623,713 classifiable sequences, which were compared with a curated version of the Greengenes database using the quantitative insights into microbial ecology pipeline. The subgingival microbial profiles of smokers and never-smokers were different at all taxonomic levels, and principal coordinate analysis revealed distinct clustering of the microbial communities based on smoking status. Smokers demonstrated a highly diverse, pathogen-rich, commensal-poor, anaerobic microbiome that is more closely aligned with a disease-associated community in clinically healthy individuals, suggesting that it creates an at-risk-for-harm environment that is primed for a future ecological catastrophe.
Project description:mRNA expression was assayed from bronchial epithelial cells collected via bronchoscopy from healthy current and never smoker volunteers in order to determine relationships between microRNA and mRNA expression in bronchial epithelial cell samples across current and never smokers and within the same individual. Keywords: Global mRNA expression profiling
Project description:MicroRNA expression was assayed from bronchial epithelial cells collected via bronchoscopy from healthy current and never smoker volunteers in order to determine the effect of cigarette smoke exposure on airway epithelial microRNA expression Keywords: Global microRNA expression profiling
Project description:Comparison of gene and protein expression in the large airway epithelium of never and current smokers. Keywords: gene expression array-based (RNA / in situ oligonucleotide)
Project description:MicroRNA expression was assayed from bronchial epithelial cells collected via bronchoscopy from healthy current and never smoker volunteers in order to determine the effect of cigarette smoke exposure on airway epithelial microRNA expression Keywords: Global microRNA expression profiling Bronchial epithelial cells were collected from current and never smokers via bronchoscopy. Low molecular weight RNA ( < 200 nucleotides) was isolated and hybridized to Invitrogen NCode microRNA microarrays to determine which microRNAs detected in bronchial epithelial cells were differentially expressed in the airways of smokers.
Project description:Lung cancer accounts for the greatest number of cancer deaths in the world. Tobacco smoke-associated cancers constitute the majority of lung cancer cases but never-smoker cancers comprise a significant and increasing fraction of cases. Recent genomic and transcriptomic sequencing efforts of lung cancers have revealed distinct sets of genetic aberrations of smoker and never-smoker lung cancers that implicate disparate biology and therapeutic strategies. Autochthonous mouse models have contributed greatly to our understanding of lung cancer biology and identified novel therapeutic targets and strategies in the era of targeted therapy. With the emergence of immuno-oncology, mouse models may continue to serve as valuable platforms for novel biological insights and therapeutic strategies. Here, we will review the variety of available autochthonous mouse models of lung cancer, their relation to human smoker and never-smoker lung cancers, and their application to immuno-oncology and immune checkpoint blockade that is revolutionizing lung cancer therapy.
Project description:Lung cancer in never smokers (LCINS) has lately been recognized as a unique disease based on rapidly gained knowledge from genomic changes to treatment responses. The focus of this article is on current knowledge and challenges with regard to LCINS expanded from recent reviews highlighting five areas: (1) distribution of LCINS by temporal trends, geographic regions, and populations; (2) three well-recognized environmental risk factors; (3) other plausible environmental risk factors; (4) prior chronic lung diseases and infectious diseases as risk factors; and (5) lifestyles as risk or protective factors. This article will also bring attention to recently published literature in two pioneering areas: (1) histological characteristics, clinical features with emerging new effective therapies, and social and psychological stigma; and (2) searching for susceptibility genes using integrated genomic approaches.
Project description:mRNA expression was assayed from bronchial epithelial cell samples from smokers with and without lung cancer. A subset of the samples (2 of the lung cancer samples and 3 of the no cancer samples) were pooled and underwent whole transcriptome sequencing. The goals were to compare whole transcriptome sequencing gene expression levels to gene expression levels derived from these samples run on the Affymetrix HGU133A 2.0 platform. Current and former smokers with cancer (n=8) and without cancer (n=5) undergoing flexible bronchoscopy in the operating room for resection of a suspicious lung nodule at Boston University Medical Center were recruited. Patients were classified as having no lung cancer based on the pathological results from the lung biopsy. Patients with no cancer were diagnosed with alternative benign diseases of the chest including organizing pneumonitis, sarcoidosis and chronic inflammation due to foreign body material.