Cargando…

Structural analysis of SARS-CoV-2 genome and predictions of the human interactome

Specific elements of viral genomes regulate interactions within host cells. Here, we calculated the secondary structure content of >2000 coronaviruses and computed >100 000 human protein interactions with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The genomic regions display...

Descripción completa

Detalles Bibliográficos
Autores principales: Vandelli, Andrea, Monti, Michele, Milanetti, Edoardo, Armaos, Alexandros, Rupert, Jakob, Zacco, Elsa, Bechara, Elias, Delli Ponti, Riccardo, Tartaglia, Gian Gaetano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672441/
https://www.ncbi.nlm.nih.gov/pubmed/33068416
http://dx.doi.org/10.1093/nar/gkaa864
_version_ 1783611136626655232
author Vandelli, Andrea
Monti, Michele
Milanetti, Edoardo
Armaos, Alexandros
Rupert, Jakob
Zacco, Elsa
Bechara, Elias
Delli Ponti, Riccardo
Tartaglia, Gian Gaetano
author_facet Vandelli, Andrea
Monti, Michele
Milanetti, Edoardo
Armaos, Alexandros
Rupert, Jakob
Zacco, Elsa
Bechara, Elias
Delli Ponti, Riccardo
Tartaglia, Gian Gaetano
author_sort Vandelli, Andrea
collection PubMed
description Specific elements of viral genomes regulate interactions within host cells. Here, we calculated the secondary structure content of >2000 coronaviruses and computed >100 000 human protein interactions with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The genomic regions display different degrees of conservation. SARS-CoV-2 domain encompassing nucleotides 22 500–23 000 is conserved both at the sequence and structural level. The regions upstream and downstream, however, vary significantly. This part of the viral sequence codes for the Spike S protein that interacts with the human receptor angiotensin-converting enzyme 2 (ACE2). Thus, variability of Spike S is connected to different levels of viral entry in human cells within the population. Our predictions indicate that the 5′ end of SARS-CoV-2 is highly structured and interacts with several human proteins. The binding proteins are involved in viral RNA processing, include double-stranded RNA specific editases and ATP-dependent RNA-helicases and have strong propensity to form stress granules and phase-separated assemblies. We propose that these proteins, also implicated in viral infections such as HIV, are selectively recruited by SARS-CoV-2 genome to alter transcriptional and post-transcriptional regulation of host cells and to promote viral replication.
format Online
Article
Text
id pubmed-7672441
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-76724412020-11-24 Structural analysis of SARS-CoV-2 genome and predictions of the human interactome Vandelli, Andrea Monti, Michele Milanetti, Edoardo Armaos, Alexandros Rupert, Jakob Zacco, Elsa Bechara, Elias Delli Ponti, Riccardo Tartaglia, Gian Gaetano Nucleic Acids Res Computational Biology Specific elements of viral genomes regulate interactions within host cells. Here, we calculated the secondary structure content of >2000 coronaviruses and computed >100 000 human protein interactions with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The genomic regions display different degrees of conservation. SARS-CoV-2 domain encompassing nucleotides 22 500–23 000 is conserved both at the sequence and structural level. The regions upstream and downstream, however, vary significantly. This part of the viral sequence codes for the Spike S protein that interacts with the human receptor angiotensin-converting enzyme 2 (ACE2). Thus, variability of Spike S is connected to different levels of viral entry in human cells within the population. Our predictions indicate that the 5′ end of SARS-CoV-2 is highly structured and interacts with several human proteins. The binding proteins are involved in viral RNA processing, include double-stranded RNA specific editases and ATP-dependent RNA-helicases and have strong propensity to form stress granules and phase-separated assemblies. We propose that these proteins, also implicated in viral infections such as HIV, are selectively recruited by SARS-CoV-2 genome to alter transcriptional and post-transcriptional regulation of host cells and to promote viral replication. Oxford University Press 2020-10-17 /pmc/articles/PMC7672441/ /pubmed/33068416 http://dx.doi.org/10.1093/nar/gkaa864 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Computational Biology
Vandelli, Andrea
Monti, Michele
Milanetti, Edoardo
Armaos, Alexandros
Rupert, Jakob
Zacco, Elsa
Bechara, Elias
Delli Ponti, Riccardo
Tartaglia, Gian Gaetano
Structural analysis of SARS-CoV-2 genome and predictions of the human interactome
title Structural analysis of SARS-CoV-2 genome and predictions of the human interactome
title_full Structural analysis of SARS-CoV-2 genome and predictions of the human interactome
title_fullStr Structural analysis of SARS-CoV-2 genome and predictions of the human interactome
title_full_unstemmed Structural analysis of SARS-CoV-2 genome and predictions of the human interactome
title_short Structural analysis of SARS-CoV-2 genome and predictions of the human interactome
title_sort structural analysis of sars-cov-2 genome and predictions of the human interactome
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672441/
https://www.ncbi.nlm.nih.gov/pubmed/33068416
http://dx.doi.org/10.1093/nar/gkaa864
work_keys_str_mv AT vandelliandrea structuralanalysisofsarscov2genomeandpredictionsofthehumaninteractome
AT montimichele structuralanalysisofsarscov2genomeandpredictionsofthehumaninteractome
AT milanettiedoardo structuralanalysisofsarscov2genomeandpredictionsofthehumaninteractome
AT armaosalexandros structuralanalysisofsarscov2genomeandpredictionsofthehumaninteractome
AT rupertjakob structuralanalysisofsarscov2genomeandpredictionsofthehumaninteractome
AT zaccoelsa structuralanalysisofsarscov2genomeandpredictionsofthehumaninteractome
AT becharaelias structuralanalysisofsarscov2genomeandpredictionsofthehumaninteractome
AT dellipontiriccardo structuralanalysisofsarscov2genomeandpredictionsofthehumaninteractome
AT tartagliagiangaetano structuralanalysisofsarscov2genomeandpredictionsofthehumaninteractome