Article ; Online: A Roadmap for the Computational Prediction and Experimental Validation of Competitive Endogenous RNAs.
Methods in molecular biology (Clifton, N.J.)
2019 Volume 1970, Page(s) 237–250
Abstract: MicroRNAs (miRNAs) are fine-tuners of gene expression and contribute to the regulation of most, if not all, biological processes in eukaryotes by targeting both coding and noncoding RNAs. Typically, miRNAs repress numerous target transcripts and most ... ...
Abstract | MicroRNAs (miRNAs) are fine-tuners of gene expression and contribute to the regulation of most, if not all, biological processes in eukaryotes by targeting both coding and noncoding RNAs. Typically, miRNAs repress numerous target transcripts and most target RNAs harbor binding sites for multiple miRNA families. It was recently proposed that transcripts sequester miRNAs and thereby regulate the abundance of other transcripts with which they have miRNA binding sites in common. Since competition for shared miRNAs is the mechanistic basis for this cross-regulation, such transcripts were termed competitive endogenous RNAs (ceRNAs). In this chapter, I discuss considerations for the computational prediction of ceRNAs based on miRNA binding site overlap. Moreover, I provide a framework for the experimental validation of miRNA-dependent reciprocal regulation of putative ceRNAs. |
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MeSH term(s) | Computational Biology/methods ; Gene Expression Regulation ; Humans ; MicroRNAs/genetics ; MicroRNAs/metabolism ; RNA, Long Noncoding/genetics ; RNA, Long Noncoding/metabolism ; RNA, Messenger/genetics ; RNA, Messenger/metabolism ; Software |
Chemical Substances | MicroRNAs ; RNA, Long Noncoding ; RNA, Messenger |
Language | English |
Publishing date | 2019-04-08 |
Publishing country | United States |
Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't |
ISSN | 1940-6029 |
ISSN (online) | 1940-6029 |
DOI | 10.1007/978-1-4939-9207-2_13 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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