Volume 32, Issue 207 (4-2022)
J Mazandaran Univ Med Sci 2022, 32(207): 109-124 |
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Pirmoradi S. Analysis of Gene Expression, Signaling Pathways, and Interaction Networks of Some Effective Genes in Patients with Asthma in Microarray Studies Using R Software. J Mazandaran Univ Med Sci 2022; 32 (207) :109-124
URL: http://jmums.mazums.ac.ir/article-1-16742-en.html
URL: http://jmums.mazums.ac.ir/article-1-16742-en.html
Abstract: (1713 Views)
Background and purpose: Asthma is a chronic inflammatory disorder of the airways caused by a combination of complex environmental and genetic interactions. There is an incomplete understanding of this mechanism which affect both severity of the disease and how it responds to treatment. Different gene expressions are reported in patients with asthma and healthy controls.
Materials and methods: In this study, a common list of different genes expressed (DEG) was identified using bioinformatics methods. Three studies from microarray data that met the study’s inclusion criteria were selected. These studies included 268 samples, consisting of 167 patients and 101 healthy people. These studies were analyzed, and then a meta-analysis was performed.
Results: Common genes that led to significant decrease or increase in gene expressions were identified and their biological, molecular, and cellular pathways were examined. In general, it was found that this set of genes can be involved in asthma and some pathways affecting the function of disease.
Conclusion: According to current findings, examining the objectives of efficacy and functional analysis of new genes effective in asthma and their protein products, and also investigating the role of interactions in asthma could help in taking appropriate treatment strategies to control asthma complications and injuries.
Materials and methods: In this study, a common list of different genes expressed (DEG) was identified using bioinformatics methods. Three studies from microarray data that met the study’s inclusion criteria were selected. These studies included 268 samples, consisting of 167 patients and 101 healthy people. These studies were analyzed, and then a meta-analysis was performed.
Results: Common genes that led to significant decrease or increase in gene expressions were identified and their biological, molecular, and cellular pathways were examined. In general, it was found that this set of genes can be involved in asthma and some pathways affecting the function of disease.
Conclusion: According to current findings, examining the objectives of efficacy and functional analysis of new genes effective in asthma and their protein products, and also investigating the role of interactions in asthma could help in taking appropriate treatment strategies to control asthma complications and injuries.
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