RNA-Sequencing of Transplant Stage Idiopathic Pulmonary Fibrosis Lung Reveals Unique Pathway Regulation
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE134692 | GEO | 2019/07/24
REPOSITORIES: GEO
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Project description:The aim of the current study is to find plasma-based biomarker candidates for Idiopathic Pulmonary Fibrosis (IPF). Incidence of IPF seems to be increasing in Europe and there is significant mortality associated with IPF. There are no sensistive biomarkers for IPF and diagnosis is entirely clinical and/or histopathological which is often delayed. Minimally invasive biomarkers of IPF would be expected to aid clinicians perfrom early diagnosis of IPF enabling better management of the disease.
2020-05-13 | PXD010965 | Pride
Project description:Idiopathic pulmonary fibrosis (IPF) is a chronic fibrosing lung disease that is difficult to diagnose and follows an unpredictable clinical course. The object of this study was to develop a predictive gene signature model of IPF from whole lung tissue. We collected whole lung samples from 11 IPF patients undergoing diagnostic surgical biopsy or transplantation. Whenever possible, samples were obtained from different lobes. Normals consisted of healthy organs donated for transplantation. We measured gene expression on microarrays. Data were analyzed by hierarchical clustering and Principal Component Analysis. By this approach, we found that gene expression was similar in the upper and lower lobes of individuals with IPF. We also found that biopsied and explanted specimens contained different patterns of gene expression; therefore, we analyzed biopsies and explants separately. Signatures were derived by fitting top genes to a Bayesian probit regression model. We developed a 153-gene signature that discriminates IPF biopsies from normal. We also developed a 70-gene signature that discriminates IPF explants from normal. Both signatures were validated on an independent cohort. The IPF Biopsy signature correctly diagnosed 76% of the validation cases (p < 0.01), while IPF Explant correctly diagnosed 78% (p < 0.001). Examination of differentially expressed genes revealed partial overlap between IPF Biopsy and IPF Explant and almost no overlap with previously reported IPF gene lists. However, several overlapping genes may provide a basis for developing therapeutic targets. 17 samples from 11 patients with IPF (6 patients provided a pair of samples from upper and lower lobes; 5 patients contributed singleton samples); 6 control specimens were obtained from routine lung volume reduction of healthy donor lungs at the time of lung transplantation.
2011-11-01 | E-GEOD-24206 | biostudies-arrayexpress
Project description:Idiopathic pulmonary fibrosis (IPF) is a specific form of chronic, progressive fibrosing interstitial disease of unknown cause. It remains impractical to conduct early diagnosis and predict IPF progression just based on gene expression information. Moreover, the relationship between gene expression and quantitative phenotypic value in IPF keeps controversial. To identify biomarkers to predict survival in IPF, we profiled protein-coding gene expression in peripheral blood mononuclear cells (PBMCs). We linked the gene expression level with the quantitative phenotypic variation in IPF, including diffusing capacity of the lung for carbon monoxide (DLCO) and forced vital capacity (FVC) percent predicted. In silico analyses on the expression profiles and quantitative phenotypic data allowed for the generation of a set of IPF molecular signature that predicted survival of IPF effectively. Total RNA was isolated from PBMCs using standard molecular biology protocols without DNA contamination or RNA degradation. Sample processing (e.g., cDNA generation, fragmentation, end labeling, hybridization to Affymetrix GeneChip Human Exon 1.0 ST arrays) was performed per manufacturer’s instructions. A total of 45 healthy controls and 70 IPF patients were included in the microarray analysis.
2014-06-30 | E-GEOD-38958 | biostudies-arrayexpress
Project description:Idiopathic pulmonary fibrosis (IPF) is a disease related to AT2 cell. We used flow cytometry to analyze the epithelial component of donor and IPF lungs. From the live cells, we first excluded the CD31PosCD45Pos and then selected the EPCAMPos cells for further analysis using the human AT2 cell marker HTll-280 and the surface marker PD-L1. Our data indicate that, the bona fide differentiated AT2 cells (HTll-280High PD-L1Neg), were drastically reduced in the context of IPF. More interestingly, the number of HTll-280Low/Neg PD-L1High was drastically increased, suggesting that HTll-280Low PD-L1High epithelial cells could represent a pool of progenitors linked to the deficient AT2 lineage. The aim of this experiment is further characterization of AT2 and PDL1+ cells in donor and IPF.
2023-01-01 | GSE195770 | GEO
Project description:Idiopathic pulmonary fibrosis (IPF) is an untreatable fibrotic lung disease characterized by fibroblast proliferation and epithelial mesenchymal transition. The expression and role of microRNAs (miRNA) has not been studied in IPF. Using miRNA expression microarrays we identified 46 differentially expressed miRNA in IPF lungs which included let-7d and the miR-30 family. Keywords: miRNA expression Lung tissue samples for microarray analysis were obtained through the University of Pittsburgh Health Sciences Tissue Bank. Ten samples were obtained from surgical remnants of biopsies or lungs explanted from patients with IPF who underwent pulmonary transplant, and ten control normal lung tissues obtained from the disease free margins with normal histology of lung cancer resection specimens. The morphologic diagnosis of IPF was based on typical microscopic findings consistent with usual interstitial pneumonia. Total RNA was labeled with Cy3 and hybridized on Agilent 8X15K microRNA array (Agilent Technologies, Santa Clara, CA). After 20 hours hybridization, arrays were washed and scanned according to the manufacturerâs protocol.
2010-04-23 | E-GEOD-13316 | biostudies-arrayexpress
Project description:Idiopathic pulmonary fibrosis (IPF) is an untreatable fibrotic lung disease characterized by fibroblast proliferation and epithelial mesenchymal transition. Using miRNA expression microarrays we identified 96 differentially expressed miRNA in IPF lungs which included let-7d, miR-30 family, miR-29 family and miR-154 family. Lung tissue samples for microarray analysis were obtained through the University of Pittsburgh Health Sciences Tissue Bank. 13 samples were obtained from surgical remnants of biopsies or lungs explanted from patients with IPF who underwent pulmonary transplant, and 12 control normal lung tissues obtained from the disease free margins with normal histology of lung cancer resection specimens. The morphologic diagnosis of IPF was based on typical microscopic findings consistent with usual interstitial pneumonia. Total RNA was labeled with Cy3 and hybridized on Agilent 8X15K microRNA array (Agilent Technologies, Santa Clara, CA). After 20 hours hybridization, arrays were washed and scanned according to the manufacturer’s protocol.
2013-01-04 | E-GEOD-27430 | biostudies-arrayexpress
Project description:Idiopathic Pulmonary Fibrosis (IPF) is a chronic progressive lung disease that affects more than 5 million people worldwide with a steady increase in both incidence and mortality. There is currently no effective therapy and the median survival without transplant is 2-5 years. The etiological factor is unknown, but several observational and pathogenesis studies suggest that environmental agents may cause IPF. DNA methylation is a type of chemical modification of DNA such environmental and occupational factors, that can induced a changes in the regulation of biological processes and link to diseases such as a cancer. We hypothesize that the global changes in methylation patterns of IPF lungs caused by environmental factors. In this study we will identify the global methylation signatures of the IPF lung and to compare to methylation signature of lung cancer. The DNA methylation profiles of IPF lung tissue differs from control lung but it shares great similarity with that of lung cancer. Immunoprecipitated methylated DNA from 12 IPF lungs, 10 lung adenocarcinomas and 10 normal histology lungs obtained from the same group of adenocarcinoma patients was hybridized to Agilent human CpG Islands Microarrays. Only probes with a hybridization Tm value between 79 C and 93C were included in the analysis because these show higher quality signal. All probes were divided according to their Tm into 14 groups/bins differing by 1C. Probe signals in each bin were standardized to have an average of 0 and a standard deviation of 1. To work in a CpG island oriented manner, we scored each island for its likelihood to be methylated. For that purpose, each probe was mapped to the genome and the signals of the probes that were mapped to a single CpG island were averaged to obtain the islandM-bM-^@M-^Ys methylation score. Data analysis was performed using BRB-Array Tools and DAVID Bioinformatics Resources software packages.
2012-04-18 | E-GEOD-29895 | biostudies-arrayexpress
Project description:Objective: Pulmonary complications in systemic sclerosis (SSc), including pulmonary fibrosis (PF) and pulmonary arterial hypertension (PAH), are the leading cause of mortality. We compared the molecular fingerprint of SSc lung tissues and matching primary lung fibroblasts to those of normal donors, and patients with idiopathic pulmonary fibrosis (IPF) and idiopathic pulmonary arterial hypertension (IPAH). Methods: Lung tissues were obtained from 33 patients with SSc who underwent lung transplantation. Tissues and cells from a subgroup of SSc patients with predominantly PF or PAH were compared to those from normal donors, patients with IPF, or IPAH. Microarray data was analyzed using Efficiency Analysis for determination of optimal data processing methods. Real time PCR and immunohistochemistry were used to confirm differential levels of mRNA and protein, respectively. Results: We identified a consensus of 242 and 335 genes that were differentially expressed in lungs and primary fibroblasts, respectively. Enriched function groups in SSc-PF and IPF lungs included fibrosis, insulin-like growth factor signaling and caveolin-mediated endocytosis. Functional groups shared by SSc-PAH and IPAH lungs included antigen presentation, chemokine activity, and IL-17 signaling. Conclusion: Using microarray analysis on carefully phenotyped SSc and comparator lung tissues, we demonstrated distinct molecular profiles in tissues and fibroblasts of patients with SSc-associated lung disease compared to idiopathic forms of lung disease. Unique molecular signatures were generated that are disease- (SSc) and phenotype- (PF vs PAH) specific. These signatures provide new insights into pathogenesis and potential therapeutic targets for SSc lung disease. Lung tissues were obtained from 33 patients with SSc who underwent lung transplantation. Tissues and cells from a subgroup of SSc patients with predominantly PF or PAH were compared to those from normal donors, patients with IPF, or IPAH. Microarray data was analyzed using Efficiency Analysis for determination of optimal data processing methods. Real time PCR and immunohistochemistry were used to confirm differential levels of mRNA and protein, respectively.
2013-06-21 | E-GEOD-48149 | biostudies-arrayexpress
Project description:Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive and highly lethal lung disease with unknown etiology and poor prognosis.
2019-05-29 | GSE116086 | GEO
Project description:Idiopathic pulmonary fibrosis (IPF) is an untreatable fibrotic lung disease characterized by fibroblast proliferation and epithelial mesenchymal transition. The expression and role of microRNAs (miRNA) has not been studied in IPF. Using miRNA expression microarrays we identified 46 differentially expressed miRNA in IPF lungs which included let-7d and the miR-30 family. Keywords: miRNA expression
2010-04-23 | GSE13316 | GEO