ArticleScientific reports2021
Network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
26 citing papers in PubMed, 37 citations in OpenAlex.
- Mepolizumab alters gene regulatory networks of nasal airway type-2 and epithelial inflammation in urban children with asthma.Nature communications · 2025Trial
- The Iron Lung: Ferroptosis and Iron Regulation in Aging and Lung Diseases.Physiology (Bethesda, Md.) · 2026Review
- Ferroptosis as an Emerging Therapeutic Target in Allergic Diseases.Drug design, development and therapy · 2026Review
- M6A Methylase METTL3-mediated downregulation of TEP1 mRNA stability attenuates PDGF-BB-induced HASMC remodeling and inflammation via macrophage polarization.BMC pediatrics · 2025Article
- Frequent exacerbator-a novel endotype of pediatric asthma.The Journal of allergy and clinical immunology · 2025Review
- Genome-scale metabolic modelling identifies reactions mediated by SNP-SNP interactions associated with yeast sporulation.NPJ systems biology and applications · 2025Article
- Cell death crosstalk in respiratory diseases: unveiling the relationship between pyroptosis and ferroptosis in asthma and COPD.Molecular and cellular biochemistry · 2025Review
- Integrative Roles of Pro-Inflammatory Cytokines on Airway Smooth Muscle Structure and Function in Asthma.Immunological reviews · 2025Review
- Article
- Integrative Cross-Talk in Asthma: Unraveling the Complex Interactions Between Eosinophils, Immune, and Structural Cells in the Airway Microenvironment.Diagnostics (Basel, Switzerland) · 2024Review
- [Progress of allergic rhinitis research based on transcriptome sequencing].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2024Review
- SPIN: sex-specific and pathway-based interpretable neural network for sexual dimorphism analysis.Briefings in bioinformatics · 2024Article
- Downregulation of protein phosphatase 2Aα in asthmatic airway smooth muscle.American journal of physiology. Lung cellular and molecular physiology · 2024Article
- Estrogen receptors differentially modifies lamellipodial and focal adhesion dynamics in airway smooth muscle cell migration.Molecular and cellular endocrinology · 2024Article
- Leveraging transcriptomics-based approaches to enhance genomic prediction: integrating SNPs and gene networks for cotton fibre quality improvement.Frontiers in plant science · 2024Article
- Genome-Wide Network Analysis of Above- and Below-Ground Co-growth inPlant phenomics (Washington, D.C.) · 2024Article
- Development and validation of asthma risk prediction models using co-expression gene modules and machine learning methods.Scientific reports · 2023Article
- Kisspeptin regulates airway hyperresponsiveness and remodeling in a mouse model of asthma.The Journal of pathology · 2023Article
- The crosslinks between ferroptosis and autophagy in asthma.Frontiers in immunology · 2023Review
- Kisspeptins inhibit human airway smooth muscle proliferation.JCI insight · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Airway smooth muscle (ASM) is known for its role in asthma exacerbations characterized by acute bronchoconstriction and remodeling. The molecular mechanisms underlying multiple gene interactions regulating gene expression in asthma remain elusive. Herein, we explored the regulatory relationship between ASM genes to uncover the putative mechanism underlying asthma in humans. To this end, the gene expression from human ASM was measured with RNA-Seq in non-asthmatic and asthmatic groups. The gene network for the asthmatic and non-asthmatic group was constructed by prioritizing differentially expressed genes (DEGs) (121) and transcription factors (TFs) (116). Furthermore, we identified differentially connected or co-expressed genes in each group. The asthmatic group showed a loss of gene connectivity due to the rewiring of major regulators. Notably, TFs such as ZNF792, SMAD1, and SMAD7 were differentially correlated in the asthmatic ASM. Additionally, the DEGs, TFs, and differentially connected genes over-represented in the pathways involved with herpes simplex virus infection, Hippo and TGF-β signaling, adherens junctions, gap junctions, and ferroptosis. The rewiring of major regulators unveiled in this study likely modulates the expression of gene-targets as an adaptive response to asthma. These multiple gene interactions pointed out novel targets and pathways for asthma exacerbations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.