ArticleInternational journal of chronic obstructive pulmonary disease
Immune Characteristics Analysis and Transcriptional Regulation Prediction Based on Gene Signatures of Chronic Obstructive Pulmonary Disease.
Article in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- MTHFD2: a promising metabolic checkpoint for diseases.Journal of translational medicine · 2026Review
- A Novel Regulatory Role for RPS4Y1 in Inflammatory and Fibrotic Processes.International journal of molecular sciences · 2025Article
- Identification of Five NK Cell-Related Hub Genes in COPD Using Single-Cell RNA Sequencing Analysis.Journal of inflammation research · 2025Article
- Immune cell regulatory networks in chronic obstructive pulmonary disease: mechanistic analysis from innate to adaptive immunity.Frontiers in immunology · 2025Review
- Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning.Frontiers in medicine · 2025Article
- Genetic variability in proteoglycan biosynthetic genes reveals new facets of heparan sulfate diversity.Essays in biochemistry · 2024Review
- Screening of key genes related to ferroptosis and a molecular interaction network analysis in colorectal cancer using machine learning and bioinformatics.Journal of gastrointestinal oncology · 2023Article
- Effect of Obesity on the Expression of Genes Associated with Severe Asthma-A Pilot Study.Journal of clinical medicine · 2023Article
- Associative analysis of multi-omics data indicates that acetylation modification is widely involved in cigarette smoke-induced chronic obstructive pulmonary disease.Frontiers in medicine · 2022Article
- Integrated analysis reveals lung fibrinogen gamma chain as a biomarker for chronic obstructive pulmonary disease.Annals of translational medicine · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe variation in inflammation in chronic obstructive pulmonary disease (COPD) between individuals is genetically determined. This study aimed to identify gene signatures of COPD through bioinformatics analysis based on multiple gene sets and explore their immune characteristics and transcriptional regulation mechanisms.
methodsData from four microarrays were downloaded from the Gene Expression Omnibus database to screen differentially expressed genes (DEGs) between COPD patients and controls. Weighted gene co-expression network analysis was applied to identify trait-related modules and then select key module-related DEGs. The optimized gene set of signatures was obtained using the least absolute shrinkage and selection operator (LASSO) regression analysis. The CIBERSORT algorithm and Pearson correlation test were used to analyze the relationship between gene signatures and immune cells. Finally, public databases were used to predict the transcription factors (TFs) and upstream miRNAs.
resultsA total of 127 DEGs in COPD were identified from the combined dataset. By considering the intersection of DEGs and genes in two trait-related modules, 83 key module-related DEGs were identified, which were mainly enriched in interleukin-related pathways. Seven-gene signatures, including
conclusionWe proposed the seven-gene-signature to predict COPD risk and explored its potential immune characteristics and regulatory mechanisms.
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