1. A model for network-based identification and pharmacological targeting of aberrant, replication-permissive transcriptional programs induced by viral infection.
- Author
-
Laise P, Stanifer ML, Bosker G, Sun X, Triana S, Doldan P, La Manna F, De Menna M, Realubit RB, Pampou S, Karan C, Alexandrov T, Kruithof-de Julio M, Califano A, Boulant S, and Alvarez MJ
- Subjects
- Humans, SARS-CoV-2, Transcriptome, Virus Replication, Virus Diseases, COVID-19 Drug Treatment
- Abstract
SARS-CoV-2 hijacks the host cell transcriptional machinery to induce a phenotypic state amenable to its replication. Here we show that analysis of Master Regulator proteins representing mechanistic determinants of the gene expression signature induced by SARS-CoV-2 in infected cells revealed coordinated inactivation of Master Regulators enriched in physical interactions with SARS-CoV-2 proteins, suggesting their mechanistic role in maintaining a host cell state refractory to virus replication. To test their functional relevance, we measured SARS-CoV-2 replication in epithelial cells treated with drugs predicted to activate the entire repertoire of repressed Master Regulators, based on their experimentally elucidated, context-specific mechanism of action. Overall, 15 of the 18 drugs predicted to be effective by this methodology induced significant reduction of SARS-CoV-2 replication, without affecting cell viability. This model for host-directed pharmacological therapy is fully generalizable and can be deployed to identify drugs targeting host cell-based Master Regulator signatures induced by virtually any pathogen., (© 2022. The Author(s).)
- Published
- 2022
- Full Text
- View/download PDF