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计算建模 ncRNA-ncRNA 串扰。

Computationally Modeling ncRNA-ncRNA Crosstalk.

机构信息

College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

出版信息

Adv Exp Med Biol. 2018;1094:77-86. doi: 10.1007/978-981-13-0719-5_8.

Abstract

Our understanding of complex gene regulatory networks have been improved by the discovery of ncRNA-ncRNA crosstalk in normal and disease-specific physiological conditions. Previous studies have proposed numerous approaches for constructing ncRNA-ncRNA networks via ncRNA-mRNA regulation, functional information, or phenomics alone, or by combining heterogeneous data. Furthermore, it has been shown that ncRNA-ncRNA crosstalk can be rewired in different tissues or specific diseases. Therefore, it is necessary to integrate transcriptome data to construct context-specific ncRNA-ncRNA networks. In this chapter, we elucidated the commonly used ncRNA-ncRNA network modeling methods, and highlighted the need to integrate heterogeneous multi-mics data. Finally, we suggest future directions for studies of ncRNAs crosstalk. This comprehensive description and discussion elucidated in this chapter will provide constructive insights into ncRNA-ncRNA crosstalk.

摘要

我们对复杂基因调控网络的理解,得益于在正常和疾病特定生理条件下发现 ncRNA-ncRNA 串扰。先前的研究提出了许多通过 ncRNA-mRNA 调控、功能信息或表型组学单独构建 ncRNA-ncRNA 网络的方法,或者通过组合异质数据来构建。此外,已经表明 ncRNA-ncRNA 串扰可以在不同的组织或特定疾病中重新布线。因此,有必要整合转录组数据来构建特定于上下文的 ncRNA-ncRNA 网络。在本章中,我们阐述了常用的 ncRNA-ncRNA 网络建模方法,并强调了整合异质多组学数据的必要性。最后,我们为 ncRNAs 串扰的研究提出了未来的方向。本章的全面描述和讨论将为 ncRNA-ncRNA 串扰提供建设性的见解。

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