The current landscape of coronavirus-host protein–protein interactions

Autor: Laure Perrin-Cocon, Olivier Diaz, Clémence Jacquemin, Valentine Barthel, Eva Ogire, Christophe Ramière, Patrice André, Vincent Lotteau, Pierre-Olivier Vidalain
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Translational Medicine, Vol 18, Iss 1, Pp 1-15 (2020)
Druh dokumentu: article
ISSN: 1479-5876
DOI: 10.1186/s12967-020-02480-z
Popis: Abstract In less than 20 years, three deadly coronaviruses, SARS-CoV, MERS-CoV and SARS-CoV-2, have emerged in human population causing hundreds to hundreds of thousands of deaths. Other coronaviruses are causing epizootic representing a significant threat for both domestic and wild animals. Members of this viral family have the longest genome of all RNA viruses, and express up to 29 proteins establishing complex interactions with the host proteome. Deciphering these interactions is essential to identify cellular pathways hijacked by these viruses to replicate and escape innate immunity. Virus-host interactions also provide key information to select targets for antiviral drug development. Here, we have manually curated the literature to assemble a unique dataset of 1311 coronavirus-host protein–protein interactions. Functional enrichment and network-based analyses showed coronavirus connections to RNA processing and translation, DNA damage and pathogen sensing, interferon production, and metabolic pathways. In particular, this global analysis pinpointed overlooked interactions with translation modulators (GIGYF2-EIF4E2), components of the nuclear pore, proteins involved in mitochondria homeostasis (PHB, PHB2, STOML2), and methylation pathways (MAT2A/B). Finally, interactome data provided a rational for the antiviral activity of some drugs inhibiting coronaviruses replication. Altogether, this work describing the current landscape of coronavirus-host interactions provides valuable hints for understanding the pathophysiology of coronavirus infections and developing effective antiviral therapies.
Databáze: Directory of Open Access Journals
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