About: Computational Design of Artificial RNA Molecules for Gene Regulation

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Computational Design of Artificial RNA Molecules for Gene Regulation
Creator	Pulvirenti, Alfredo Laganà, Alessandro Croce, Carlo Ferro, Alfredo Giugno, Rosalba Russo, Francesco Veneziano, Dario
source	PMC
abstract	RNA interference (RNAi) is a powerful tool for the regulation of gene expression. Small exogenous noncoding RNAs (ncRNAs) such as siRNA and shRNA are the active silencing agents, intended to target and cleave complementary mRNAs in a specific way. They are widely and successfully employed in functional studies, and several ongoing and already completed siRNA-based clinical trials suggest encouraging results in the regulation of overexpressed genes in disease. siRNAs share many aspects of their biogenesis and function with miRNAs, small ncRNA molecules transcribed from endogenous genes which are able to repress the expression of target mRNAs by either inhibiting their translation or promoting their degradation. Although siRNA and artificial miRNA molecules can significantly reduce the expression of overexpressed target genes, cancer and other diseases can also be triggered or sustained by upregulated miRNAs. Thus, in the past recent years, molecular tools for miRNA silencing, such as antagomiRs and miRNA sponges, have been developed. These molecules have shown their efficacy in the derepression of genes downregulated by overexpressed miRNAs. In particular, while a single antagomiR is able to inhibit a single complementary miRNA, an artificial sponge construct usually contains one or more binding sites for one or more miRNAs and functions by competing with the natural targets of these miRNAs. As a consequence, natural miRNA targets are reexpressed at their physiological level. In this chapter we review the most successful methods for the computational design of siRNAs, antagomiRs, and miRNA sponges and describe the most popular tools that implement them.
has issue date	2014-10-21(xsd:dateTime)
bibo:doi	10.1007/978-1-4939-2291-8_25
bibo:pmid	25577393
has license	no-cc
sha1sum (hex)	db5d807cbacc0f14b477eaf58c1b37a4f9a8e7ac
schema:url	https://doi.org/10.1007/978-1-4939-2291-8_25
resource representing a document's title	Computational Design of Artificial RNA Molecules for Gene Regulation
has PubMed Central identifier	PMC4425273
has PubMed identifier	25577393
schema:publication	RNA Bioinformatics
resource representing a document's body	covid:db5d807cbacc0f14b477eaf58c1b37a4f9a8e7ac#body_text
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