ArticleMolecules (Basel, Switzerland)2023
Bioinformatic Analysis of Key Regulatory Genes in Adult Asthma and Prediction of Potential Drug Candidates.
Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Multicellular crosstalk in neutrophilic asthma: unraveling the pathogenic web of steroid resistance and emerging precision therapies.Journal of translational medicine · 2026Review
- Validation ofJournal of thoracic disease · 2025Article
- A feasibility of computational drug screening for Fuchs endothelial corneal dystrophy.Scientific reports · 2025Article
- Investigation of lactotransferrin messenger RNA expression levels as an anti-type 2 asthma biomarker.The Journal of allergy and clinical immunology · 2024Article
- Article
- Computational identification of natural senotherapeutic compounds that mimic dasatinib based on gene expression data.Scientific reports · 2024Article
- Computational study of the motor neuron protein KIF5A to identify nsSNPs, bioactive compounds, and its key regulators.Frontiers in genetics · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Asthma is a common chronic disease that is characterized by respiratory symptoms including cough, wheeze, shortness of breath, and chest tightness. The underlying mechanisms of this disease are not fully elucidated, so more research is needed to identify better therapeutic compounds and biomarkers to improve disease outcomes. In this present study, we used bioinformatics to analyze the gene expression of adult asthma in publicly available microarray datasets to identify putative therapeutic molecules for this disease. We first compared gene expression in healthy volunteers and adult asthma patients to obtain differentially expressed genes (DEGs) for further analysis. A final gene expression signature of 49 genes, including 34 upregulated and 15 downregulated genes, was obtained. Protein-protein interaction and hub analyses showed that 10 genes, including POSTN, CPA3, CCL26, SERPINB2, CLCA1, TPSAB1, TPSB2, MUC5B, BPIFA1, and CST1, may be hub genes. Then, the L1000CDS
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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.