Project description:Filoviruses infect a wide range of cell types with the exception of lymphocytes. The intracellular proteins cathepsin B and L, two-pore channel 1 and 2, and bona fide receptor Niemann–Pick Disease C1 (NPC1) are essential for the endosomal phase of cell entry. However, earlier steps of filoviral infection remain poorly characterized. Numerous plasma membrane proteins have been implicated in attachment but it is still unclear which ones are sufficient for productive entry. To define a minimal set of host factors required for filoviral glycoprotein-driven cell entry, we screened twelve cell lines and identified the nonlymphocytic cell line SH-SY5Y to be specifically resistant to filovirus infection. Heterokaryons of SH-SY5Y cells fused to susceptible cells were susceptible to filoviruses, indicating that SH-SY5Y cells do not express a restriction factor but lack an enabling factor critical for filovirus entry. However, all tested cell lines expressed functional intracellular factors. Global gene expression profiling of known cell surface entry factors and protein expression levels of analyzed attachment factors did not reveal any correlation between susceptibility and expression of a specific host factor. Using binding assays with recombinant filovirus glycoprotein, we identified cell attachment as the step impaired in filovirus entry in SH-SY5Y cells. Individual overexpression of attachment factors T-cell immunoglobulin and mucin domain 1 (TIM-1), Axl, Mer, or dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin (DC-SIGN) rendered SH-SY5Y cells susceptible to filovirus glycoprotein-driven transduction. Our study reveals that a lack of attachment factors limits filovirus entry and provides direct experimental support for a model of filoviral cell attachment where host factor usage at the cell surface is highly promiscuous.
Project description:Episodic Ebola virus (EBOV) outbreaks, such as the current one in West Africa, emphasize the critical need for novel antivirals against this highly pathogenic virus. Here, we demonstrate that interferon gamma (IFNγ) prevents morbidity and mortality associated with EBOV infection when administered to mice either 24 hours prior to or 2 hours following EBOV infection. Microarray studies with IFNγ-stimulated human macrophages identified novel interferon-stimulated genes (ISGs) that inhibit EBOV infection upon ectopic expression. IFNγ treatment reduced viral RNA levels in macrophages to a similar degree as cells treated with the protein synthesis inhibitor, cycloheximide, suggesting that IFNγ treatment inhibits genome replication. As IFNγ treatment robustly protects mice against EBOV infection, we propose that this FDA-approved drug may serve as a useful prophylactic or therapeutic strategy during EBOV outbreaks, contributing to the currently limited arsenal of filovirus antivirals.
Project description:Episodic Ebola virus (EBOV) outbreaks, such as the current one in West Africa, emphasize the critical need for novel antivirals against this highly pathogenic virus. Here, we demonstrate that interferon gamma (IFNγ) prevents morbidity and mortality associated with EBOV infection when administered to mice either 24 hours prior to or 2 hours following EBOV infection. Microarray studies with IFNγ-stimulated human macrophages identified novel interferon-stimulated genes (ISGs) that inhibit EBOV infection upon ectopic expression. IFNγ treatment reduced viral RNA levels in macrophages to a similar degree as cells treated with the protein synthesis inhibitor, cycloheximide, suggesting that IFNγ treatment inhibits genome replication. As IFNγ treatment robustly protects mice against EBOV infection, we propose that this FDA-approved drug may serve as a useful prophylactic or therapeutic strategy during EBOV outbreaks, contributing to the currently limited arsenal of filovirus antivirals.
Project description:Microbiome sequencing model is a Named Entity Recognition (NER) model that identifies and annotates microbiome nucleic acid sequencing method or platform in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with sequencing metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications