Suppr超能文献

miRNA-miRNA 串扰:从基因组学到表型组学。

miRNA-miRNA crosstalk: from genomics to phenomics.

出版信息

Brief Bioinform. 2017 Nov 1;18(6):1002-1011. doi: 10.1093/bib/bbw073.

Abstract

The discovery of microRNA (miRNA)-miRNA crosstalk has greatly improved our understanding of complex gene regulatory networks in normal and disease-specific physiological conditions. Numerous approaches have been proposed for modeling miRNA-miRNA networks based on genomic sequences, miRNA-mRNA regulation, functional information and phenomics alone, or by integrating heterogeneous data. In addition, it is expected that miRNA-miRNA crosstalk can be reprogrammed in different tissues or specific diseases. Thus, transcriptome data have also been integrated to construct context-specific miRNA-miRNA networks. In this review, we summarize the state-of-the-art miRNA-miRNA network modeling methods, which range from genomics to phenomics, where we focus on the need to integrate heterogeneous types of omics data. Finally, we suggest future directions for studies of crosstalk of noncoding RNAs. This comprehensive summarization and discussion elucidated in this work provide constructive insights into miRNA-miRNA crosstalk.

摘要

miRNA-mRNA 调控、功能信息和表型数据,或通过整合异质数据,提出了许多基于基因组序列、 miRNA-mRNA 调控、功能信息和表型数据,或通过整合异质数据的 miRNA-miRNA 网络建模方法。此外,人们还期望在不同组织或特定疾病中可以重新编程 miRNA-miRNA 之间的串扰。因此,也整合了转录组数据来构建特定于上下文的 miRNA-miRNA 网络。在这篇综述中,我们总结了从基因组学到表型学的 miRNA-miRNA 网络建模方法的最新进展,重点讨论了整合异质类型的组学数据的必要性。最后,我们为非编码 RNA 串扰的研究提出了未来的方向。这项全面的总结和讨论为 miRNA-miRNA 串扰提供了有建设性的见解。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验