ArticleMedicine2019
Integrative bioinformatics analysis of miRNA and mRNA expression profiles and identification of associated miRNA-mRNA network in aortic dissection.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- miR-485-3p targets SIRT1 in vascular smooth muscle cells mediating the occurrence of aortic dissection.Journal of cellular and molecular medicine · 2024Article
- Posttranscriptional Regulation by Proteins and Noncoding RNAs.Advances in experimental medicine and biology · 2024Article
- Aortic Dissection Research in China: Analysis of Studies Funded by the National Natural Science Foundation of China.Current medical science · 2023Article
- MiR-15a-5p accelerated vascular smooth muscle cells viabilities and migratory abilities via targeting Bcl-2.Physiological research · 2022Article
- Crucial Genes in Aortic Dissection Identified by Weighted Gene Coexpression Network Analysis.Journal of immunology research · 2022Article
- Construction and Integrated Analysis of Competitive Endogenous Long Non-Coding RNA Network in Thoracic Aortic Dissection.International journal of general medicine · 2021Article
- Non-coding RNAs in aortic dissection: From biomarkers to therapeutic targets.Journal of cellular and molecular medicine · 2020Review
- Integrative analysis of microRNA and mRNA expression profiles in MARC-145 cells infected with PRRSV.Virus genes · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAortic dissection (AD) is one of the most lethal cardiovascular diseases. The aim of this study was to identify core genes and pathways revealing pathogenesis in AD.
methodsWe screened differentially expressed mRNAs and miRNAs using mRNA and miRNA expression profile data of AD from Gene Expression Omnibus. Then functional and pathway enrichment analyses of differential expression genes (DEGs) was performed utilizing the database for annotation, visualization, and integrated discovery (DAVID). Target genes with differential expression miRNAs (DEMIs) were predicted using the miRWalk database, and the intersection between these predictions and DEGs was selected as differentially expressed miRNA-target genes. In addition, a protein-protein interaction (PPI) network and miRNA-mRNA regulatory network were constructed.
resultsIn total, 130 DEGs and 47 DEMIs were identified from mRNA and miRNA microarray, respectively, and 45 DEGs were DEMI-target genes. The PPI and miRNA-mRNA network included 79 node genes and 74 node genes, respectively, while 23 hub genes and 2 hub miRNAs were identified. The DEGs, PPI and modules differential expression miRNA-target genes were all mainly enriched in cell cycle, cell proliferation and cell apoptosis signaling pathways.
conclusionTaken above, the study reveals some candidate genes and pathways potentially involving molecular mechanisms of AD. These findings provide a new insight for research and treatment of AD.
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Registered trials
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