Predicting the Functions of Long Noncoding RNAs Using RNA-Seq Based on Bayesian Network
المؤلفون المشاركون
Li, Feng
Xiao, Yun
Lv, Yanling
Zhao, Hongying
Hu, Jing
Xu, Jinyuan
Bai, Jing
Yu, Fulong
Li, Xia
Gong, Yonghui
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-02-28
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Long noncoding RNAs (lncRNAs) have been shown to play key roles in various biological processes.
However, functions of most lncRNAs are poorly characterized.
Here, we represent a framework to predict functions of lncRNAs through construction of a regulatory network between lncRNAs and protein-coding genes.
Using RNA-seq data, the transcript profiles of lncRNAs and protein-coding genes are constructed.
Using the Bayesian network method, a regulatory network, which implies dependency relations between lncRNAs and protein-coding genes, was built.
In combining protein interaction network, highly connected coding genes linked by a given lncRNA were subsequently used to predict functions of the lncRNA through functional enrichment.
Application of our method to prostate RNA-seq data showed that 762 lncRNAs in the constructed regulatory network were assigned functions.
We found that lncRNAs are involved in diverse biological processes, such as tissue development or embryo development (e.g., nervous system development and mesoderm development).
By comparison with functions inferred using the neighboring gene-based method and functions determined using lncRNA knockdown experiments, our method can provide comparable predicted functions of lncRNAs.
Overall, our method can be applied to emerging RNA-seq data, which will help researchers identify complex relations between lncRNAs and coding genes and reveal important functions of lncRNAs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xiao, Yun& Lv, Yanling& Zhao, Hongying& Gong, Yonghui& Hu, Jing& Li, Feng…[et al.]. 2015. Predicting the Functions of Long Noncoding RNAs Using RNA-Seq Based on Bayesian Network. BioMed Research International،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1056949
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xiao, Yun…[et al.]. Predicting the Functions of Long Noncoding RNAs Using RNA-Seq Based on Bayesian Network. BioMed Research International No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1056949
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xiao, Yun& Lv, Yanling& Zhao, Hongying& Gong, Yonghui& Hu, Jing& Li, Feng…[et al.]. Predicting the Functions of Long Noncoding RNAs Using RNA-Seq Based on Bayesian Network. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1056949
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1056949
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