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pmid:33613625

Identification of Regulatory circRNAs Involved in the Pathogenesis of Acute Myocardial Infarction.

Cuimei Zhao · Jingjing Liu · Wen Ge · Zhi Li · Mengwei Lv · Yipeng Feng · Xuebo Liu · Ban Liu · Yangyang Zhang

Frontiers in genetics · 2020 doi:10.3389/fgene.2020.626492

Paper

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Identification of Regulatory circRNAs Involved in the Pathogenesis of Acute Myocardial Infarction.
doi
10.3389/fgene.2020.626492
pmid
33613625
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Cuimei Zhao
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Jingjing Liu
[2]
Wen Ge
[3]
Zhi Li
[4]
Mengwei Lv
[5]
Yipeng Feng
[6]
Xuebo Liu
[7]
Ban Liu
[8]
Yangyang Zhang
journal
Frontiers in genetics
year
2020
abstract
BACKGROUND: Acute myocardial infarction (AMI) has high morbidity and mortality worldwide. However, the pathogenesis of AMI is still unclear, and the impact of circular RNAs (circRNAs) on AMI has rarely been recognized and needs to be explored. MATERIALS AND METHODS: The circRNA array was applied to investigate the expression level of circRNAs in the blood samples of coronary arteries of three AMI patients and three normal persons. Principal component analysis (PCA) and unsupervised clustering analysis were performed to reveal the distinguished expression patterns of circRNAs. The miRNA expression profiles of AMI patients were identified from a public dataset from the Gene Expression Omnibus (GEO) database (GSE31568). The miRNA binding sites on the circRNAs were predicted by miRanda. The miRNA enrichment analysis and annotation tool were used to explore the pathways that the dysregulated circRNAs may participate in. RESULTS: In total, 142 differentially expressed circRNAs, including 89 upregulated and 53 downregulated in AMI samples, were identified by the differential expression analysis. AMI patients had quite different circRNA expression profiles to those of normal controls. Functional characterization revealed that circRNAs that had the potential to regulate miRNAs were mainly involved in seven pathways, such as the Runt-related transcription factor-1 (RUNX1) expression and activity-related pathway. Specifically, hsa_circRNA_001654, hsa_circRNA_091761, hsa_circRNA_405624, and hsa_circRNA_406698 were predicted to sponge four miRNAs including hsa-miR-491-3p, hsa-miR-646, hsa-miR-603, and hsa-miR-922, thereby regulating RUNX1 expression or activity. CONCLUSION: We identified dysregulated blood circRNAs in the coronary arteries of AMI patients and predicted that four upregulated circRNAs were involved in the regulation of RUNX1 expression or activity through sponging four miRNAs.
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The differential expression analysis was conducted by student t-test and fold change methods.
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The data presented in the study are deposited in the GEO database, and the accession number is GSE160717.
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Identification of regulatory circRNAs involved in pathogenesis of acute myocardial infarction
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Homo sapiens
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The human Whole miRNOme project version 1
resolution_checked_at
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The clinical data of the six personals.
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CircRNA Profiling From circRNA Array Analysis
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The differential expression analysis was conducted by student t-test and fold change methods.
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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The data presented in the study are deposited in the GEO database, and the accession number is GSE160717.
basis
The paper names GSE31568, GSE160717 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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ferentially expressed circRNAs identified in microarray analysis and dysregulated miRNAs identified
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However, the pathogenesis of AMI is still unclear, and the impact of circular RNAs (circRNAs) on AMI has rarely been recognized and needs to be explored.\nMATERIALS AND METHODS: The circRNA array was applied to investigate the expression level of circRNAs in the blood samples of coronary arteries of three AMI patients and three normal persons. Principal component analysis (PCA) and unsupervised clustering analysis were performed to reveal the distinguished expression patterns of circRNAs. The miRNA expression profiles of AMI patients were identified from a public dataset from the Gene Expression Omnibus (GEO) database (GSE31568). The miRNA binding sites on the circRNAs were predicted by miRanda. The miRNA enrichment analysis and annotation tool were used to explore the pathways that the dysregulated circRNAs may participate in.\nRESULTS: In total, 142 differentially expressed circRNAs, including 89 upregulated and 53 downregulated in AMI samples, were identified by the differential expression analysis. AMI patients had quite different circRNA expression profiles to those of normal controls. Functional characterization revealed that circRNAs that had the potential to regulate miRNAs were mainly involved in seven pathways, such as the Runt-related transcription factor-1 (RUNX1) expression and activity-related pathway. Specifically, hsa_circRNA_001654, hsa_circRNA_091761, hsa_circRNA_405624, and hsa_circRNA_406698 were predicted to sponge four miRNAs including hsa-miR-491-3p, hsa-miR-646, hsa-miR-603, and hsa-miR-922, thereby regulating RUNX1 expression or activity.\nCONCLUSION: We identified dysregulated blood circRNAs in the coronary arteries of AMI patients and predicted that four upregulated circRNAs were involved in the regulation of RUNX1 expression or activity through sponging four miRNAs.", "claims": [{"id": "claim-method", "statement": "The differential expression analysis was conducted by student t-test and fold change methods.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33613625", "locator": "sections[4] \"CircRNA Profiling From circRNA Array Analysis\" paragraph 4", "quote": "The differential expression analysis was conducted by student t-test and fold change methods."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data presented in the study are deposited in the GEO database, and the accession number is GSE160717.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33613625", "locator": "sections[18] \"Data Availability Statement\" paragraph 2", "quote": "The data presented in the study are deposited in the GEO database, and the accession number is GSE160717."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:33613625"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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