MicroRNA expression profiles of interstitial lung disease (ILD) patients
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE21394 | GEO | 2011/04/19
SECONDARY ACCESSION(S): PRJNA129489
REPOSITORIES: GEO
Similar Datasets
Project description:The mechanisms and molecular pathways underlying interstitial lung diseases (ILDs) are poorly understood. Systems biology approaches were used to identify perturbed networks in these disease states to gain a better understanding of the underlying mechanisms of disease. Through profiling genes and miRNAs, we found subsets of genes and miRNAs that distinguish different disease stages, ILDs from controls, and idiopathic pulmonary fibrosis (IPF) from non-specific interstitial pneumonitis (NSIP). Traditional pathway analysis revealed several disease-associated modules involving genes from the TGF-beta, Wnt, focal adhesion and smooth muscle actin pathways that may be involved in advancing fibrosis. A comprehensively integrative approach was used to construct a global gene regulatory network based on the perturbation of key regulatory elements, transcriptional factors and miRNAs. The data also demonstrated that several subnetworks were significantly associated with key molecules involved in the diseases. We present a broad overview of the disease at a molecular level and discuss several possibly key regulatory molecular circuits that could play central roles in facilitating the progression of ILDs. Lung tissue samples from 23 patients with IPF or related disorders were obtained from the Lung Tissue Research Consortium (www.ltrcpublic.org). 11 samples came from patients who had been diagnosed with usual interstitial pneumonia/ idiopathic pulmonary fibrosis (UIP/IPF), 5 samples came from patients with non-specific interstitial pneumonia (NSIP), the remaining from patients with uncharacterized fibrosis and from patients with other ILD variants. B. Biopsies from uninvolved lung tissue from lung cancer patients (5 samples) and from one lung transplant patient were used as controls for comparison with the ILD samples.
2011-03-24 | E-GEOD-21369 | biostudies-arrayexpress
Project description:The mechanisms and molecular pathways underlying interstitial lung diseases (ILDs) are poorly understood. Systems biology approaches were used to identify perturbed networks in these disease states to gain a better understanding of the underlying mechanisms of disease. Through profiling genes and miRNAs, we found subsets of genes and miRNAs that distinguish different disease stages, ILDs from controls, and idiopathic pulmonary fibrosis (IPF) from non-specific interstitial pneumonitis (NSIP). Traditional pathway analysis revealed several disease-associated modules involving genes from the TGF-beta, Wnt, focal adhesion and smooth muscle actin pathways that may be involved in advancing fibrosis. A comprehensively integrative approach was used to construct a global gene regulatory network based on the perturbation of key regulatory elements, transcriptional factors and miRNAs. The data also demonstrated that several subnetworks were significantly associated with key molecules involved in the diseases. We present a broad overview of the disease at a molecular level and discuss several possibly key regulatory molecular circuits that could play central roles in facilitating the progression of ILDs. Lung tissue samples from thirty patients with IPF or related disorders were obtained from the Lung Tissue Research Consortium (www.ltrcpublic.org). Ten samples came from patients who had been diagnosed with usual interstitial pneumonia/ idiopathic pulmonary fibrosis (UIP/IPF), nine samples came from patients with non-specific interstitial pneumonia (NSIP), four from patients with uncharacterized fibrosis, and the remaining samples came from patients with other ILD variants. Biopsies from uninvolved lung tissue from lung cancer patients (5 samples) and from one lung transplant patient were used as controls for comparison with the ILD samples.
2011-04-19 | E-GEOD-21394 | biostudies-arrayexpress
Project description:The mechanisms and molecular pathways underlying interstitial lung diseases (ILDs) are poorly understood. Systems biology approaches were used to identify perturbed networks in these disease states to gain a better understanding of the underlying mechanisms of disease. Through profiling genes and miRNAs, we found subsets of genes and miRNAs that distinguish different disease stages, ILDs from controls, and idiopathic pulmonary fibrosis (IPF) from non-specific interstitial pneumonitis (NSIP). Traditional pathway analysis revealed several disease-associated modules involving genes from the TGF-beta, Wnt, focal adhesion and smooth muscle actin pathways that may be involved in advancing fibrosis. A comprehensively integrative approach was used to construct a global gene regulatory network based on the perturbation of key regulatory elements, transcriptional factors and miRNAs. The data also demonstrated that several subnetworks were significantly associated with key molecules involved in the diseases. We present a broad overview of the disease at a molecular level and discuss several possibly key regulatory molecular circuits that could play central roles in facilitating the progression of ILDs.
2011-03-25 | GSE21369 | GEO
Project description:Idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP) are the 2 most common forms of idiopathic interstitial pneumonia. Response to therapy and prognosis are remarkably different. The clinical-radiographic distinction between IPF and NSIP may be challenging. We sought to investigate the gene expression profile of IPF vs. NSIP We used microarray to identifiy the gene expression profiles in patients with IPF and NSIP, mixed IPF/NSIP histologic pattern and normal controls.
2018-02-06 | GSE110147 | GEO
Project description:Fibrosing interstitial lung diseases (ILDs) encompass a diverse range of scarring disorders that lead to progressive lung failure. Previous gene expression profiling studies focused on idiopathic pulmonary fibrosis (IPF) and bulk tissue samples. We employed digital spatial profiling to gain new insights into the spatial resolution of gene expression across distinct lung microenvironments (LMEs) in IPF, chronic hypersensitivity pneumonitis (CHP) and non-specific interstitial pneumonia (NSIP). We identified differentially expressed genes between LMEs within each condition, and across histologically similar regions between conditions. Uninvolved areas in IPF and CHP were remarkably distinct from normal controls, and displayed potential therapeutic targets. Hallmarks LMEs of each condition retained a distinct gene signature, but these could not be reproduced in matched lung tissue samples. Based on these gene expression signatures and unsupervised clustering, we grouped previously unclassified ILD cases into NSIP or CHP. Lastly, we characterized a gene expression pattern associated with poor outcome . Overall, our work uniquely dissects gene expression profiles between LMEs within and across different types of fibrosing ILDs. This new spatial transcriptomics approach has the potential to reclassify unclassifiable cases, to qualify the transcriptional relevance of smaller biopsies for clinical use, and to predict outcome at the time of diagnosis.
2024-09-30 | GSE255174 | GEO
Project description:Fibrosing interstitial lung diseases (ILDs) encompass a diverse range of scarring disorders that lead to progressive lung failure. Previous gene expression profiling studies focused on idiopathic pulmonary fibrosis (IPF) and bulk tissue samples. We employed digital spatial profiling to gain new insights into the spatial resolution of gene expression across distinct lung microenvironments (LMEs) in IPF, chronic hypersensitivity pneumonitis (CHP) and non-specific interstitial pneumonia (NSIP). We identified differentially expressed genes between LMEs within each condition, and across histologically similar regions between conditions. Uninvolved areas in IPF and CHP were remarkably distinct from normal controls, and displayed potential therapeutic targets. Hallmarks LMEs of each condition retained a distinct gene signature, but these could not be reproduced in matched lung tissue samples. Based on these gene expression signatures and unsupervised clustering, we grouped previously unclassified ILD cases into NSIP or CHP. Lastly, we characterized a gene expression pattern associated with poor outcome . Overall, our work uniquely dissects gene expression profiles between LMEs within and across different types of fibrosing ILDs. This new spatial transcriptomics approach has the potential to reclassify unclassifiable cases, to qualify the transcriptional relevance of smaller biopsies for clinical use, and to predict outcome at the time of diagnosis.
2024-09-30 | GSE255173 | GEO
Project description:Objective: MicroRNAs (miRNAs) control key elements of mRNA stability and likely contribute to the dysregulated lung gene expression observed in systemic sclerosis associated interstitial lung disease (SSc-ILD). We analyzed the miRNA gene expression of tissue and cells from SSc-ILD patients. A chronic lung fibrotic murine model was used. Methods: RNA was isolated from lung tissue of 12 SSc-ILD patients and 5 control lungs. High-resolution computed tomography (HRCT) was performed at baseline and 2-3 years after treatment. Lung fibroblasts and PBMCs were isolated from healthy controls and SSc-ILD patients. miRNA and mRNA were analyzed by microarray, quantitative polymerase chain reaction, and/or Nanostring; pathway analysis was performed by DIANA-miRPath v2.0 software. Wild-type and miR-155 deficient (miR-155ko) mice were exposed to bleomycin. Results: Lung miRNA microarray data distinguished patients with SSc-ILD from healthy controls with 185 miRNA differentially expressed (q<0.25). DIANA-miRPath revealed 57 KEGGs pathways related to the most dysregulated miRNAs. miR-155 and miR-143 were strongly correlated with progression of the HRCT score. Lung fibroblasts showed only mild expression of miR-155/miR-21 after several stimuli. miR-155 PBMC expression strongly correlated with lung function tests in SSc-ILD. miR-155ko mice developed milder lung fibrosis, survived longer, and showed a weaker lung induction of several genes after bleomycin exposure compared to wild-type mice. Conclusions: miRNAs are dysregulated in lungs and PBMCs of SSc-ILD patients. Based on mRNA-miRNA interaction analysis and pathway tools, miRNAs may play a role in the progression of the disease. Our findings suggest that targeting miR-155 might provide a novel therapeutic strategy for SSc-ILD. Lung biopsies taken from open lung biopsy from SSc-ILD patients (n=15 samples) and from cancer free control patients (n=5) during ressection of the lung tumor.
2016-08-01 | E-GEOD-81293 | biostudies-arrayexpress
Project description:Objective: MicroRNAs (miRNAs) control key elements of mRNA stability and likely contribute to the dysregulated lung gene expression observed in systemic sclerosis associated interstitial lung disease (SSc-ILD). We analyzed the miRNA gene expression of tissue and cells from SSc-ILD patients. A chronic lung fibrotic murine model was used. Methods: RNA was isolated from lung tissue of 12 SSc-ILD patients and 5 control lungs. High-resolution computed tomography (HRCT) was performed at baseline and 2-3 years after treatment. Lung fibroblasts and PBMCs were isolated from healthy controls and SSc-ILD patients. miRNA and mRNA were analyzed by microarray, quantitative polymerase chain reaction, and/or Nanostring; pathway analysis was performed by DIANA-miRPath v2.0 software. Wild-type and miR-155 deficient (miR-155ko) mice were exposed to bleomycin. Results: Lung miRNA microarray data distinguished patients with SSc-ILD from healthy controls with 185 miRNA differentially expressed (q<0.25). DIANA-miRPath revealed 57 KEGGs pathways related to the most dysregulated miRNAs. miR-155 and miR-143 were strongly correlated with progression of the HRCT score. Lung fibroblasts showed only mild expression of miR-155/miR-21 after several stimuli. miR-155 PBMC expression strongly correlated with lung function tests in SSc-ILD. miR-155ko mice developed milder lung fibrosis, survived longer, and showed a weaker lung induction of several genes after bleomycin exposure compared to wild-type mice. Conclusions: miRNAs are dysregulated in lungs and PBMCs of SSc-ILD patients. Based on mRNA-miRNA interaction analysis and pathway tools, miRNAs may play a role in the progression of the disease. Our findings suggest that targeting miR-155 might provide a novel therapeutic strategy for SSc-ILD. Lung biopsies taken from open lung biopsy from SSc-ILD patients (n=15 samples) and from cancer free control patients (n=5) during ressection of the lung tumor.
2016-08-01 | E-GEOD-81292 | biostudies-arrayexpress
Project description:Objective: MicroRNAs (miRNAs) control key elements of mRNA stability and likely contribute to the dysregulated lung gene expression observed in systemic sclerosis associated interstitial lung disease (SSc-ILD). We analyzed the miRNA gene expression of tissue and cells from SSc-ILD patients. A chronic lung fibrotic murine model was used. Methods: RNA was isolated from lung tissue of 12 SSc-ILD patients and 5 control lungs. High-resolution computed tomography (HRCT) was performed at baseline and 2-3 years after treatment. Lung fibroblasts and PBMCs were isolated from healthy controls and SSc-ILD patients. miRNA and mRNA were analyzed by microarray, quantitative polymerase chain reaction, and/or Nanostring; pathway analysis was performed by DIANA-miRPath v2.0 software. Wild-type and miR-155 deficient (miR-155ko) mice were exposed to bleomycin. Results: Lung miRNA microarray data distinguished patients with SSc-ILD from healthy controls with 185 miRNA differentially expressed (q<0.25). DIANA-miRPath revealed 57 KEGGs pathways related to the most dysregulated miRNAs. miR-155 and miR-143 were strongly correlated with progression of the HRCT score. Lung fibroblasts showed only mild expression of miR-155/miR-21 after several stimuli. miR-155 PBMC expression strongly correlated with lung function tests in SSc-ILD. miR-155ko mice developed milder lung fibrosis, survived longer, and showed a weaker lung induction of several genes after bleomycin exposure compared to wild-type mice. Conclusions: miRNAs are dysregulated in lungs and PBMCs of SSc-ILD patients. Based on mRNA-miRNA interaction analysis and pathway tools, miRNAs may play a role in the progression of the disease. Our findings suggest that targeting miR-155 might provide a novel therapeutic strategy for SSc-ILD.
2016-08-01 | GSE81293 | GEO
Project description:Objective: MicroRNAs (miRNAs) control key elements of mRNA stability and likely contribute to the dysregulated lung gene expression observed in systemic sclerosis associated interstitial lung disease (SSc-ILD). We analyzed the miRNA gene expression of tissue and cells from SSc-ILD patients. A chronic lung fibrotic murine model was used. Methods: RNA was isolated from lung tissue of 12 SSc-ILD patients and 5 control lungs. High-resolution computed tomography (HRCT) was performed at baseline and 2-3 years after treatment. Lung fibroblasts and PBMCs were isolated from healthy controls and SSc-ILD patients. miRNA and mRNA were analyzed by microarray, quantitative polymerase chain reaction, and/or Nanostring; pathway analysis was performed by DIANA-miRPath v2.0 software. Wild-type and miR-155 deficient (miR-155ko) mice were exposed to bleomycin. Results: Lung miRNA microarray data distinguished patients with SSc-ILD from healthy controls with 185 miRNA differentially expressed (q<0.25). DIANA-miRPath revealed 57 KEGGs pathways related to the most dysregulated miRNAs. miR-155 and miR-143 were strongly correlated with progression of the HRCT score. Lung fibroblasts showed only mild expression of miR-155/miR-21 after several stimuli. miR-155 PBMC expression strongly correlated with lung function tests in SSc-ILD. miR-155ko mice developed milder lung fibrosis, survived longer, and showed a weaker lung induction of several genes after bleomycin exposure compared to wild-type mice. Conclusions: miRNAs are dysregulated in lungs and PBMCs of SSc-ILD patients. Based on mRNA-miRNA interaction analysis and pathway tools, miRNAs may play a role in the progression of the disease. Our findings suggest that targeting miR-155 might provide a novel therapeutic strategy for SSc-ILD.
2016-08-01 | GSE81292 | GEO