ArticleFrontiers in medicine2025
Identification and validation of differentially expressed genes in allergic asthma pathogenesis using whole-transcriptome sequencing.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of microarray data to identify potential signature genes and MiRNAs associated with the pathogenesis of asthma.Journal of translational medicine · 2025Pooled it
- Unsupervised Machine-Learning-Based Endotype Discovery Using Iterative Resampling in Dupilumab-Treated Patients.International journal of molecular sciences · 2026Article
- Targeting PSMB5-induced PANoptosis in bladder cancer: multi-omics insights and TCM candidate discovery.Frontiers in immunology · 2025Article
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Authors and funding
5 authors.
Funding
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Abstract
Objective: This study aims to systematically identify differential gene expression profiles in patients with allergic asthma through whole-transcriptome sequencing and validate the role of these genes in asthma pathogenesis, thereby uncovering potential molecular mechanisms. Methods: This study recruited a cohort of 80 individuals diagnosed with allergic asthma and 40 healthy controls. RNA was extracted from both peripheral blood and airway samples, and sequencing was performed using the Illumina NovaSeq 6000 platform. Potential differential genes were confirmed through three independent techniques to validate the findings: quantitative reverse transcription polymerase chain reaction (qRT-PCR), immunohistochemistry, and Western blot analysis. Differential gene expression was analyzed using DESeq2 software, providing a rigorous statistical framework for RNA-Seq data interpretation. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were employed to elucidate the biological significance of the differentially expressed genes, offering insights into the molecular mechanisms underlying allergic asthma. Results: Differential expression analysis identified multiple genes with significant differences between the patient and control groups. Inflammatory-related genes such as Conclusion: Differential gene expression profiles play a crucial role in the pathogenesis of asthma. This study provides important evidence for understanding the molecular mechanisms of asthma and developing novel targeted therapeutic strategies.
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