Identification of Candidate Genes and MicroRNAs for Acute Myocardial Infarction by Weighted Gene Coexpression Network Analysis
المؤلفون المشاركون
Li, Yan
He, Xiao_nan
Li, Chao
Gong, Ling
Liu, Min
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-02-11
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Background.
Identification of potential molecular targets of acute myocardial infarction is crucial to our comprehensive understanding of the disease mechanism.
However, studies of gene coexpression analysis via jointing multiple microarray data of acute myocardial infarction still remain restricted.
Methods.
Microarray data of acute myocardial infarction (GSE48060, GSE66360, GSE97320, and GSE19339) were downloaded from Gene Expression Omnibus database.
Three data sets without heterogeneity (GSE48060, GSE66360, and GSE97320) were subjected to differential expression analysis using MetaDE package.
Differentially expressed genes having upper 25% variation across samples were imported in weighted gene coexpression network analysis.
Functional and pathway enrichment analyses were conducted for genes in the most significant module using DAVID.
The predicted microRNAs to regulate target genes in the most significant module were identified using TargetScan.
Moreover, subpathway analyses using iSubpathwayMiner package and GenCLiP 2.0 were performed on hub genes with high connective weight in the most significant module.
Results.
A total of 1027 differentially expressed genes and 33 specific modules were screened out between acute myocardial infarction patients and control samples.
Ficolin (collagen/fibrinogen domain containing) 1 (FCN1), CD14 molecule (CD14), S100 calcium binding protein A9 (S100A9), and mitochondrial aldehyde dehydrogenase 2 (ALDH2) were identified as critical target molecules; hsa-let-7d, hsa-let-7b, hsa-miR-124-3, and hsa-miR-9-1 were identified as potential regulators of the expression of the key genes in the two biggest modules.
Conclusions.
FCN1, CD14, S100A9, ALDH2, hsa-let-7d, hsa-let-7b, hsa-miR-124-3, and hsa-miR-9-1 were identified as potential candidate regulators in acute myocardial infarction.
These findings might provide new comprehension into the underlying molecular mechanism of disease.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Yan& He, Xiao_nan& Li, Chao& Gong, Ling& Liu, Min. 2019. Identification of Candidate Genes and MicroRNAs for Acute Myocardial Infarction by Weighted Gene Coexpression Network Analysis. BioMed Research International،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1126220
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Yan…[et al.]. Identification of Candidate Genes and MicroRNAs for Acute Myocardial Infarction by Weighted Gene Coexpression Network Analysis. BioMed Research International No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1126220
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Yan& He, Xiao_nan& Li, Chao& Gong, Ling& Liu, Min. Identification of Candidate Genes and MicroRNAs for Acute Myocardial Infarction by Weighted Gene Coexpression Network Analysis. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1126220
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1126220
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر