Meta-analysis of microarray data to identify potential signature genes and MiRNAs associated with the pathogenesis of asthma

Meta-analysis of microarray data to identify potential signature genes and MiRNAs associated with the pathogenesis of asthma

Abstract Background Asthma is a chronic inflammatory airway disease characterized by variable degrees of inflammation and airway hyperresponsiveness. The current study used a bioinformatic meta-analysis to identify key target genes and miRNA biomarkers for early diagnostics, thereby suggesting possi...

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Main Authors: Asma Vafadar, Shayan Khalili Alashti, Saeed Khazayel, Sepideh Babadi, Melika Eghtesadi, Mohammad Younesi, Amir Savardashtaki, Manica Negahdaripour
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Journal of Translational Medicine
Subjects:
Asthma
Microarray meta-analysis
Gene expression
MiRNA
Bioinformatics
Hub genes
Online Access:https://doi.org/10.1186/s12967-025-06646-5
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https://doi.org/10.1186/s12967-025-06646-5

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