The Identification and Verification of Key Long Noncoding RNAs in Ischemic Stroke
المؤلفون المشاركون
Chen, Xia
Bian, Yaoyao
Xu, Houxi
Zhang, Jinzhi
Ma, Yuzhu
Gu, Jialin
Jing, Xinyue
Lu, Shengfeng
Yang, Wenguo
Fu, Shuping
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-30
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Stroke is a neurological disease with high rates of mortality and disability.
The pathogenesis of stroke is acute focal injury of the central nervous system, leading to impaired neural function.
Ischemic stroke accounts for the majority of cases.
At present, the exact molecular mechanism of ischemic stroke remains unclear.
Studies have shown that long noncoding RNAs (lncRNAs) have an important regulatory role in biological processes, participating in the regulation of transcription and affecting the processing and splicing of mRNAs.
Abnormal lncRNA expression is associated with various diseases, including diseases of the nervous system.
To identify and verify the key lncRNAs in ischemic stroke, we downloaded gene expression data from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO) and obtain differentially expressed lncRNAs, miRNAs, and mRNAs by bioinformatics analysis.
Cytoscape was used to reconstruct a lncRNA-miRNA-mRNA network on the basis of the competitive endogenous RNA theory.
We performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of the mRNAs regulated by lncRNAs in the lncRNA-miRNA-mRNA network.
The resulting lncRNA-miRNA-mRNA network was composed of 91 lncRNA nodes, 70 mRNA nodes, 21 miRNA nodes, and 288 edges.
GO analysis and KEGG pathway analysis have shown that 191 GO terms and 23 KEGG pathways were enriched.
Finally, we found that four key lncRNAs were highly correlated with ischemic stroke and could be used as potential new targets for treatment.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xu, Houxi& Zhang, Jinzhi& Ma, Yuzhu& Gu, Jialin& Jing, Xinyue& Lu, Shengfeng…[et al.]. 2020. The Identification and Verification of Key Long Noncoding RNAs in Ischemic Stroke. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1132319
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xu, Houxi…[et al.]. The Identification and Verification of Key Long Noncoding RNAs in Ischemic Stroke. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1132319
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xu, Houxi& Zhang, Jinzhi& Ma, Yuzhu& Gu, Jialin& Jing, Xinyue& Lu, Shengfeng…[et al.]. The Identification and Verification of Key Long Noncoding RNAs in Ischemic Stroke. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1132319
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1132319
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