Dataset Information

MiRNA-mediated targeting of human cytomegalovirus reveals biological host and viral targets of IE2.

ABSTRACT: Human cytomegalovirus (HCMV) impacts more than one-half of the human population owing to its capacity to manipulate the cell and create latent reservoirs in the host. Despite an extensive understanding of HCMV biology during acute infection in fibroblasts, the molecular basis for latency in myeloid cells remains incomplete. This knowledge gap is due largely to the fact that the existing genetic systems require virus rescue in fibroblasts, precluding the study of genes that are essential during acute infection, yet likely play unique roles in myeloid cells or the establishment of latency. Here we present a solution to address this restriction. Through the exploitation of a hematopoietic-specific microRNA, we demonstrate a one-step recombineering approach that enables gene silencing only in cells associated with latency. As a proof of concept, here we describe a TB40/E variant that undergoes hematopoietic targeting of the Immediate Early-2 (IE2) gene to explore its function during infection of myeloid cells. While virus replication of the hematopoietic-targeted IE2 variant was unimpaired in fibroblasts, we observed a >100-fold increase in virus titers in myeloid cells. Virus replication in myeloid cells demonstrated that IE2 has a significant transcriptional footprint on both viral and host genes. These data implicate IE2 as an essential mediator of virus biology in myeloid cells and illustrate the utility of cell-specific microRNA-based targeting.

SUBMITTER: Moller R

PROVIDER: S-EPMC5798380 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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miRNA-mediated targeting of human cytomegalovirus reveals biological host and viral targets of IE2.

Møller Rasmus R Schwarz Toni M TM Noriega Vanessa M VM Panis Maryline M Sachs David D Tortorella Domenico D tenOever Benjamin R BR

Proceedings of the National Academy of Sciences of the United States of America 20180116 5

Human cytomegalovirus (HCMV) impacts more than one-half of the human population owing to its capacity to manipulate the cell and create latent reservoirs in the host. Despite an extensive understanding of HCMV biology during acute infection in fibroblasts, the molecular basis for latency in myeloid cells remains incomplete. This knowledge gap is due largely to the fact that the existing genetic systems require virus rescue in fibroblasts, precluding the study of genes that are essential during a ...[more]

PMID: 29339472

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Project description:Introduction: Drug-resistant infections are becoming increasingly frequent worldwide, causing hundreds of thousands of deaths annually. This is partly due to the very limited set of protein drug targets known for human-infecting viral genomes. The eleven influenza virus proteins, for instance, exploit host cell factors for replication and suppression of the antiviral immune responses. A systems medicine approach to identify relevant and druggable host factors would dramatically expand therapeutic options. Therapeutic target identification, however, has hitherto relied on static molecular networks, whereas in reality the interactome, in particular during an infection, is subject to constant change. Methods: We developed time-course network enrichment (TiCoNE), an expert-centered approach for discovering temporal response pathways. In the first stage of TiCoNE, time-series expression data is clustered in a human-augmented manner to identify groups of biological entities with coherent temporal responses. Throughout this process, the expert can add, remove, merge, or split temporal patterns. The resulting groups can then be mapped to an interaction network to identify enriched pathways and to analyze cross-talk enrichments and depletions between groups. Finally, temporal response groups of two experiments can be intersected, to identify condition-variant response patterns that represent promising drug-target candidates. Results: We applied TiCoNE to human gene expression data for influenza A virus infection and rhino virus infection, respectively. We then identified coherent temporal response patterns and employed our cross-talk analysis to establish two potential timelines of systems-level host responses for either infection. Next, we compared the two phenotypes and unraveled condition-variant temporal groups interacting on a networks level. The highest-ranking ones we then validated via literature search and wet-lab experiments. This not only confirmed many of our candidates as previously known, but we also identified phospholipid scramblase 1 (encoded by PLSCR1) as a previously not recognized host factor that is essential for influenza A virus infection. Conclusion: With TiCoNE we developed a novel approach for conjointly analyzing molecular networks with time-series expression data and demonstrated its power by identifying temporal drug-targets. We provide proof-of-concept that not only novel targets can be identified using our approach, but also that anti-infective drug target discovery can be enhanced by investigating temporal molecular networks of the host in response to viral infection.

Dataset Information

MiRNA-mediated targeting of human cytomegalovirus reveals biological host and viral targets of IE2.

Publications

miRNA-mediated targeting of human cytomegalovirus reveals biological host and viral targets of IE2.

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