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Investigating the Human Host—ssRNA Virus Interaction Landscape Using the SMEAGOL Toolbox

Viruses have evolved numerous mechanisms to exploit the molecular machinery of their host cells, including the broad spectrum of host RNA-binding proteins (RBPs). However, the RBP interactomes of most viruses are largely unknown. To shed light on the interaction landscape of RNA viruses with human h...

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Detalles Bibliográficos
Autores principales: Lal, Avantika, Galvao Ferrarini, Mariana, Gruber, Andreas J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317827/
https://www.ncbi.nlm.nih.gov/pubmed/35891416
http://dx.doi.org/10.3390/v14071436
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author Lal, Avantika
Galvao Ferrarini, Mariana
Gruber, Andreas J.
author_facet Lal, Avantika
Galvao Ferrarini, Mariana
Gruber, Andreas J.
author_sort Lal, Avantika
collection PubMed
description Viruses have evolved numerous mechanisms to exploit the molecular machinery of their host cells, including the broad spectrum of host RNA-binding proteins (RBPs). However, the RBP interactomes of most viruses are largely unknown. To shed light on the interaction landscape of RNA viruses with human host cell RBPs, we have analysed 197 single-stranded RNA (ssRNA) viral genome sequences and found that the majority of ssRNA virus genomes are significantly enriched or depleted in motifs for specific human RBPs, suggesting selection pressure on these interactions. To facilitate tailored investigations and the analysis of genomes sequenced in future, we have released our methodology as a fast and user-friendly computational toolbox named SMEAGOL. Our resources will contribute to future studies of specific ssRNA virus—host cell interactions and support the identification of antiviral drug targets.
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spelling pubmed-93178272022-07-27 Investigating the Human Host—ssRNA Virus Interaction Landscape Using the SMEAGOL Toolbox Lal, Avantika Galvao Ferrarini, Mariana Gruber, Andreas J. Viruses Article Viruses have evolved numerous mechanisms to exploit the molecular machinery of their host cells, including the broad spectrum of host RNA-binding proteins (RBPs). However, the RBP interactomes of most viruses are largely unknown. To shed light on the interaction landscape of RNA viruses with human host cell RBPs, we have analysed 197 single-stranded RNA (ssRNA) viral genome sequences and found that the majority of ssRNA virus genomes are significantly enriched or depleted in motifs for specific human RBPs, suggesting selection pressure on these interactions. To facilitate tailored investigations and the analysis of genomes sequenced in future, we have released our methodology as a fast and user-friendly computational toolbox named SMEAGOL. Our resources will contribute to future studies of specific ssRNA virus—host cell interactions and support the identification of antiviral drug targets. MDPI 2022-06-29 /pmc/articles/PMC9317827/ /pubmed/35891416 http://dx.doi.org/10.3390/v14071436 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lal, Avantika
Galvao Ferrarini, Mariana
Gruber, Andreas J.
Investigating the Human Host—ssRNA Virus Interaction Landscape Using the SMEAGOL Toolbox
title Investigating the Human Host—ssRNA Virus Interaction Landscape Using the SMEAGOL Toolbox
title_full Investigating the Human Host—ssRNA Virus Interaction Landscape Using the SMEAGOL Toolbox
title_fullStr Investigating the Human Host—ssRNA Virus Interaction Landscape Using the SMEAGOL Toolbox
title_full_unstemmed Investigating the Human Host—ssRNA Virus Interaction Landscape Using the SMEAGOL Toolbox
title_short Investigating the Human Host—ssRNA Virus Interaction Landscape Using the SMEAGOL Toolbox
title_sort investigating the human host—ssrna virus interaction landscape using the smeagol toolbox
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317827/
https://www.ncbi.nlm.nih.gov/pubmed/35891416
http://dx.doi.org/10.3390/v14071436
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