ArticleFEBS open bio2019
Identification of differentially expressed genes and signaling pathways in chronic obstructive pulmonary disease via bioinformatic analysis.
Article in FEBS open bio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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Who cites it
21 citing papers in PubMed, 27 citations in OpenAlex.
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- Genomic crosstalk between carbachol, a muscarinic receptor agonist, and the long-acting βThe Journal of pharmacology and experimental therapeutics · 2025Article
- Identification of Five NK Cell-Related Hub Genes in COPD Using Single-Cell RNA Sequencing Analysis.Journal of inflammation research · 2025Article
- Identifying potential molecular markers and therapeutic targets for chronic obstructive pulmonary disease using transcriptome sequencing and gene expression chip technology.Archives of medical science : AMS · 2025Article
- Immune cell regulatory networks in chronic obstructive pulmonary disease: mechanistic analysis from innate to adaptive immunity.Frontiers in immunology · 2025Review
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- Role of early growth response 1 in inflammation-associated lung diseases.American journal of physiology. Lung cellular and molecular physiology · 2023Review
- Differences of core genes in liver fibrosis and hepatocellular carcinoma: Evidence from integrated bioinformatics and immunohistochemical analysis.World journal of gastrointestinal oncology · 2022Article
- α-Arrestins and Their Functions: From Yeast to Human Health.International journal of molecular sciences · 2022Review
- Plasma Extracellular Vesicle miRNA Profiles Distinguish Chronic Obstructive Pulmonary Disease Exacerbations and Disease Severity.International journal of chronic obstructive pulmonary disease · 2022Article
- Integrated analysis reveals lung fibrinogen gamma chain as a biomarker for chronic obstructive pulmonary disease.Annals of translational medicine · 2021Article
- EnRank: An Ensemble Method to Detect Pulmonary Hypertension Biomarkers Based on Feature Selection and Machine Learning Models.Frontiers in genetics · 2021Article
- Identification of the hub genes and prognostic indicators of gastric cancer and correlation of indicators with tumor-infiltrating immune cell levels.Journal of Cancer · 2021Article
- Identification of Inflammation-Related Biomarker Lp-PLA2 for Patients With COPD by Comprehensive Analysis.Frontiers in immunology · 2021Article
- Breast Cancer Case Identification Based on Deep Learning and Bioinformatics Analysis.Frontiers in genetics · 2021Article
- The S100 Protein Family as Players and Therapeutic Targets in Pulmonary Diseases.Pulmonary medicine · 2021Review
- m6A RNA methylation regulators could contribute to the occurrence of chronic obstructive pulmonary disease.Journal of cellular and molecular medicine · 2020Article
- Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic obstructive pulmonary disease (COPD) is a multifactorial and heterogeneous disease that creates public health challenges worldwide. The underlying molecular mechanisms of COPD are not entirely clear. In this study, we aimed to identify the critical genes and potential molecular mechanisms of COPD by bioinformatic analysis. The gene expression profiles of lung tissues of COPD cases and healthy control subjects were obtained from the Gene Expression Omnibus. Differentially expressed genes were analyzed by integration with annotations from Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, followed by construction of a protein-protein interaction network and weighted gene coexpression analysis. We identified 139 differentially expressed genes associated with the progression of COPD, among which 14 Hub genes were identified and found to be enriched in certain categories, including immune and inflammatory response, response to lipopolysaccharide and receptor for advanced glycation end products binding; in addition, these Hub genes are involved in multiple signaling pathways, particularly hematopoietic cell lineage and cytokine-cytokine receptor interaction. The 14 Hub genes were positively or negatively associated with COPD by wgcna analysis. The genes CX3CR1, PTGS2, FPR1, FPR2, S100A12, EGR1, CD163, S100A8 and S100A9 were identified to mediate inflammation and injury of the lung, and play critical roles in the pathogenesis of COPD. These findings improve our understanding of the underlying molecular mechanisms of COPD.
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Registered trials
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