Network analysis of screening and regulation of differentially expressed genes in platelets of patients with myocardial infarction based on bioinformatics
Objective: To construct a core miRNA regulatory network in peripheral blood platelets of patients with acute myocardial infarction,，and to explore the role of peripheral blood platelet‑related miRNAs in the occurrence and development of acute myocardial infarction. Methods: miRNA and mRNA express...
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Editorial Board of Journal of Hainan Medical University
2021
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oai:doaj.org-article:42e87c3a301d40ccba4d84284b17e19e2021-11-16T01:31:06ZNetwork analysis of screening and regulation of differentially expressed genes in platelets of patients with myocardial infarction based on bioinformatics1007-1237https://doaj.org/article/42e87c3a301d40ccba4d84284b17e19e2021-09-01T00:00:00Zhttp://www.hnykdxxb.com/PDF/202119/07.pdfhttps://doaj.org/toc/1007-1237Objective: To construct a core miRNA regulatory network in peripheral blood platelets of patients with acute myocardial infarction,，and to explore the role of peripheral blood platelet‑related miRNAs in the occurrence and development of acute myocardial infarction. Methods: miRNA and mRNA expression profiling chips were used to screen out differentially expressed miRNA and mRNA. FunRich 3.1.3 software was performed to predict the transcription factors and target genes of differentially expressed miRNA, and then the predicted target genes were intersected with the differentially expressed genes screened by the gene chip. Cytoscape software was applied to construct miRNA-mRNA regulatory network, and we performed KEGG and GO analysis of genes in the regulatory network. Results: A total of 27 differentially expressed miRNAs and 2897 differentially expressed mRNAs were screened through gene expression profiling data. A total of 3563 target genes for differentially expressed miRNAs were predicted, and they were intersected with the differentially expressed mRNAs. After a one-to-one correspondence, there were 503 miRNA-mRNA regulatory relationships. KEGG enrichment and GO analysis of the target genes in the regulatory network showed that these target genes are mainly involved in PI3K-AKT signaling pathway, regulation of actin cytoskeleton, MAPK signaling pathway, human papillomavirus infection, and Ras signaling pathway. GO analysis indicated that the main molecular functions of genes from network included protein macromolecule adaptor activity, molecular adaptor activity, DNA binding transcription repressor activity, etc. Conclusion: We analyzed the miRNA-mRNA regulatory network and the different function in the platelets of acute myocardial infarction and noninfarction populations, and further understood the important role of platelets in the process of acute myocardial infarction, and deepened our understanding of the pathological mechanism of acute myocardial infarction.Sheng-Yu CuiYong PuHao XiaEditorial Board of Journal of Hainan Medical Universityarticleacute myocardial infarctionmirnamrnabioinformaticsMedicineRENJournal of Hainan Medical University, Vol 27, Iss 19, Pp 33-36 (2021) |
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| collection |
DOAJ |
| language |
EN |
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acute myocardial infarction mirna mrna bioinformatics Medicine R |
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acute myocardial infarction mirna mrna bioinformatics Medicine R Sheng-Yu Cui Yong Pu Hao Xia Network analysis of screening and regulation of differentially expressed genes in platelets of patients with myocardial infarction based on bioinformatics |
| description |
Objective: To construct a core miRNA regulatory network in peripheral blood platelets
of patients with acute myocardial infarction,，and to explore the role of peripheral blood
platelet‑related miRNAs in the occurrence and development of acute myocardial infarction.
Methods: miRNA and mRNA expression profiling chips were used to screen out differentially
expressed miRNA and mRNA. FunRich 3.1.3 software was performed to predict the
transcription factors and target genes of differentially expressed miRNA, and then the predicted
target genes were intersected with the differentially expressed genes screened by the gene
chip. Cytoscape software was applied to construct miRNA-mRNA regulatory network, and
we performed KEGG and GO analysis of genes in the regulatory network. Results: A total of
27 differentially expressed miRNAs and 2897 differentially expressed mRNAs were screened
through gene expression profiling data. A total of 3563 target genes for differentially expressed
miRNAs were predicted, and they were intersected with the differentially expressed mRNAs.
After a one-to-one correspondence, there were 503 miRNA-mRNA regulatory relationships.
KEGG enrichment and GO analysis of the target genes in the regulatory network showed that
these target genes are mainly involved in PI3K-AKT signaling pathway, regulation of actin
cytoskeleton, MAPK signaling pathway, human papillomavirus infection, and Ras signaling
pathway. GO analysis indicated that the main molecular functions of genes from network
included protein macromolecule adaptor activity, molecular adaptor activity, DNA binding
transcription repressor activity, etc. Conclusion: We analyzed the miRNA-mRNA regulatory
network and the different function in the platelets of acute myocardial infarction and noninfarction
populations, and further understood the important role of platelets in the process of
acute myocardial infarction, and deepened our understanding of the pathological mechanism of
acute myocardial infarction. |
| format |
article |
| author |
Sheng-Yu Cui Yong Pu Hao Xia |
| author_facet |
Sheng-Yu Cui Yong Pu Hao Xia |
| author_sort |
Sheng-Yu Cui |
| title |
Network analysis of screening and regulation of differentially expressed genes in platelets of patients with myocardial infarction based on bioinformatics |
| title_short |
Network analysis of screening and regulation of differentially expressed genes in platelets of patients with myocardial infarction based on bioinformatics |
| title_full |
Network analysis of screening and regulation of differentially expressed genes in platelets of patients with myocardial infarction based on bioinformatics |
| title_fullStr |
Network analysis of screening and regulation of differentially expressed genes in platelets of patients with myocardial infarction based on bioinformatics |
| title_full_unstemmed |
Network analysis of screening and regulation of differentially expressed genes in platelets of patients with myocardial infarction based on bioinformatics |
| title_sort |
network analysis of screening and regulation of differentially expressed genes in platelets of patients with myocardial infarction based on bioinformatics |
| publisher |
Editorial Board of Journal of Hainan Medical University |
| publishDate |
2021 |
| url |
https://doaj.org/article/42e87c3a301d40ccba4d84284b17e19e |
| work_keys_str_mv |
AT shengyucui networkanalysisofscreeningandregulationofdifferentiallyexpressedgenesinplateletsofpatientswithmyocardialinfarctionbasedonbioinformatics AT yongpu networkanalysisofscreeningandregulationofdifferentiallyexpressedgenesinplateletsofpatientswithmyocardialinfarctionbasedonbioinformatics AT haoxia networkanalysisofscreeningandregulationofdifferentiallyexpressedgenesinplateletsofpatientswithmyocardialinfarctionbasedonbioinformatics |
| _version_ |
1718426781506076672 |