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Decrypting noncoding RNA interactions, structures, and functional networks

The world of noncoding RNAs (ncRNAs) is composed of an enormous and growing number of transcripts, ranging in length from tens of bases to tens of kilobases, involved in all biological processes and altered in expression and/or function in many types of human disorders. The premise of this review is...

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Detalles Bibliográficos
Autores principales: Fabbri, Muller, Girnita, Leonard, Varani, Gabriele, Calin, George A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6724670/
https://www.ncbi.nlm.nih.gov/pubmed/31434680
http://dx.doi.org/10.1101/gr.247239.118
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author Fabbri, Muller
Girnita, Leonard
Varani, Gabriele
Calin, George A.
author_facet Fabbri, Muller
Girnita, Leonard
Varani, Gabriele
Calin, George A.
author_sort Fabbri, Muller
collection PubMed
description The world of noncoding RNAs (ncRNAs) is composed of an enormous and growing number of transcripts, ranging in length from tens of bases to tens of kilobases, involved in all biological processes and altered in expression and/or function in many types of human disorders. The premise of this review is the concept that ncRNAs, like many large proteins, have a multidomain architecture that organizes them spatially and functionally. As ncRNAs are beginning to be imprecisely classified into functional families, we review here how their structural properties might inform their functions with focus on structural architecture–function relationships. We will describe the properties of “interactor elements” (IEs) involved in direct physical interaction with nucleic acids, proteins, or lipids and of “structural elements” (SEs) directing their wiring within the “ncRNA interactor networks” through the emergence of secondary and/or tertiary structures. We suggest that spectrums of “letters” (ncRNA elements) are assembled into “words” (ncRNA domains) that are further organized into “phrases” (complete ncRNA structures) with functional meaning (signaling output) through complex “sentences” (the ncRNA interactor networks). This semiotic analogy can guide the exploitation of ncRNAs as new therapeutic targets through the development of IE-blockers and/or SE-lockers that will change the interactor partners’ spectrum of proteins, RNAs, DNAs, or lipids and consequently influence disease phenotypes.
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spelling pubmed-67246702019-09-17 Decrypting noncoding RNA interactions, structures, and functional networks Fabbri, Muller Girnita, Leonard Varani, Gabriele Calin, George A. Genome Res Perspective The world of noncoding RNAs (ncRNAs) is composed of an enormous and growing number of transcripts, ranging in length from tens of bases to tens of kilobases, involved in all biological processes and altered in expression and/or function in many types of human disorders. The premise of this review is the concept that ncRNAs, like many large proteins, have a multidomain architecture that organizes them spatially and functionally. As ncRNAs are beginning to be imprecisely classified into functional families, we review here how their structural properties might inform their functions with focus on structural architecture–function relationships. We will describe the properties of “interactor elements” (IEs) involved in direct physical interaction with nucleic acids, proteins, or lipids and of “structural elements” (SEs) directing their wiring within the “ncRNA interactor networks” through the emergence of secondary and/or tertiary structures. We suggest that spectrums of “letters” (ncRNA elements) are assembled into “words” (ncRNA domains) that are further organized into “phrases” (complete ncRNA structures) with functional meaning (signaling output) through complex “sentences” (the ncRNA interactor networks). This semiotic analogy can guide the exploitation of ncRNAs as new therapeutic targets through the development of IE-blockers and/or SE-lockers that will change the interactor partners’ spectrum of proteins, RNAs, DNAs, or lipids and consequently influence disease phenotypes. Cold Spring Harbor Laboratory Press 2019-09 /pmc/articles/PMC6724670/ /pubmed/31434680 http://dx.doi.org/10.1101/gr.247239.118 Text en © 2019 Fabbri et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Perspective
Fabbri, Muller
Girnita, Leonard
Varani, Gabriele
Calin, George A.
Decrypting noncoding RNA interactions, structures, and functional networks
title Decrypting noncoding RNA interactions, structures, and functional networks
title_full Decrypting noncoding RNA interactions, structures, and functional networks
title_fullStr Decrypting noncoding RNA interactions, structures, and functional networks
title_full_unstemmed Decrypting noncoding RNA interactions, structures, and functional networks
title_short Decrypting noncoding RNA interactions, structures, and functional networks
title_sort decrypting noncoding rna interactions, structures, and functional networks
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6724670/
https://www.ncbi.nlm.nih.gov/pubmed/31434680
http://dx.doi.org/10.1101/gr.247239.118
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