scholarly journals Network-Guided Discovery of Influenza Virus Replication Host Factors

2018 ◽  
Author(s):  
Emily E. Ackerman ◽  
Eiryo Kawakami ◽  
Manami Katoh ◽  
Tokiko Watanabe ◽  
Shinji Watanabe ◽  
...  
Keyword(s):  
Influenza Virus ◽  
Virus Replication ◽  
Drug Targets ◽  
Antiviral Drug ◽  
Viral Proteins ◽  
Host Factors ◽  
Host Protein ◽  
Ppi Network ◽  
Host Proteins ◽  
Influenza Virus Replication

ABSTRACTThe position of host factors required for viral replication within a human protein-protein interaction (PPI) network can be exploited to identify drug targets that are robust to drug-mediated selective pressure. Host factors can physically interact with viral proteins, be a component of pathways regulated by viruses (where proteins themselves do not interact with viral proteins) or be required for viral replication but unregulated by viruses. Here, we demonstrate a method of combining a human PPI network with virus-host protein interaction data to improve antiviral drug discovery for influenza viruses by identifying target host proteins. Network analysis shows that influenza virus proteins physically interact with host proteins in network positions significant for information flow. We have isolated a subnetwork of the human PPI network which connects virus-interacting host proteins to host factors that are important for influenza virus replication without physically interacting with viral proteins. The subnetwork is enriched for signaling and immune processes. Selecting proteins based on network topology within the subnetwork, we performed an siRNA screen to determine if the subnetwork was enriched for virus replication host factors and if network position within the subnetwork offers an advantage in prioritization of drug targets to control influenza virus replication. We found that the subnetwork is highly enriched for target host proteins – more so than the set of host factors that physically interact with viral proteins. Our findings demonstrate that network positions are a powerful predictor to guide antiviral drug candidate prioritization.IMPORTANCEIntegrating virus-host interactions with host protein-protein interactions, we have created a method using these established network practices to identify host factors (i.e. proteins) that are likely candidates for antiviral drug targeting. We demonstrate that interaction cascades between host proteins that directly interact with viral proteins and host factors that are important to influenza replication are enriched for signaling and immune processes. Additionally, we show that host proteins that interact with viral proteins are in network locations of power. Finally, we demonstrate a new network methodology to predict novel host factors and validate predictions with an siRNA screen. Our results show that integrating virus-host proteins interactions is useful in the identification of antiviral drug target candidates.

scholarly journals Network-Guided Discovery of Influenza Virus Replication Host Factors

mBio ◽  
2018 ◽  
Vol 9 (6) ◽  
Author(s):  
Emily E. Ackerman ◽  
Eiryo Kawakami ◽  
Manami Katoh ◽  
Tokiko Watanabe ◽  
Shinji Watanabe ◽  
...  
Keyword(s):  
Influenza Virus ◽  
Viral Replication ◽  
Virus Replication ◽  
Drug Targets ◽  
Antiviral Drug ◽  
Viral Proteins ◽  
Host Factors ◽  
Ppi Network ◽  
Host Proteins ◽  
Influenza Virus Replication

ABSTRACTThe positions of host factors required for viral replication within a human protein-protein interaction (PPI) network can be exploited to identify drug targets that are robust to drug-mediated selective pressure. Host factors can physically interact with viral proteins, be a component of virus-regulated pathways (where proteins do not interact with viral proteins), or be required for viral replication but unregulated by viruses. Here, we demonstrate a method of combining human PPI networks with virus-host PPI data to improve antiviral drug discovery for influenza viruses by identifying target host proteins. Analysis shows that influenza virus proteins physically interact with host proteins in network positions significant for information flow, even after the removal of known abundance-degree bias within PPI data. We have isolated a subnetwork of the human PPI network that connects virus-interacting host proteins to host factors that are important for influenza virus replication without physically interacting with viral proteins. The subnetwork is enriched for signaling and immune processes distinct from those associated with virus-interacting proteins. Selecting proteins based on subnetwork topology, we performed an siRNA screen to determine whether the subnetwork was enriched for virus replication host factors and whether network position within the subnetwork offers an advantage in prioritization of drug targets to control influenza virus replication. We found that the subnetwork is highly enriched for target host proteins—more so than the set of host factors that physically interact with viral proteins. Our findings demonstrate that network positions are a powerful predictor to guide antiviral drug candidate prioritization.IMPORTANCEIntegrating virus-host interactions with host protein-protein interactions, we have created a method using these established network practices to identify host factors (i.e., proteins) that are likely candidates for antiviral drug targeting. We demonstrate that interaction cascades between host proteins that directly interact with viral proteins and host factors that are important to influenza virus replication are enriched for signaling and immune processes. Additionally, we show that host proteins that interact with viral proteins are in network locations of power. Finally, we demonstrate a new network methodology to predict novel host factors and validate predictions with an siRNA screen. Our results show that integrating virus-host proteins interactions is useful in the identification of antiviral drug target candidates.

scholarly journals A Dual Controllability Analysis of Influenza Virus-Host Protein-Protein Interaction Networks for Antiviral Drug Target Discovery

2018 ◽  
Author(s):  
Emily E. Ackerman ◽  
John F. Alcorn ◽  
Takeshi Hase ◽  
Jason E. Shoemaker
Keyword(s):  
Influenza Virus ◽  
Protein Interaction ◽  
Drug Target ◽  
Influenza A ◽  
Antiviral Drug ◽  
Host Factors ◽  
Host Protein ◽  
Drug Target Discovery ◽  
Protein Protein Interaction ◽  
Protein Protein Interaction Networks

ABSTRACTHost factors of influenza virus replication are often found in key topological positions within protein-protein interaction networks. This work explores how protein states can be manipulated through controllability analysis: the determination of the minimum manipulation needed to drive the cell system to any desired state. Here, we complete a two-part controllability analysis of two protein networks: a host network representing the healthy cell state and an influenza A virus-host network representing the infected cell state. This knowledge can be utilized to understand disease dynamics and isolate proteins for study as drug target candidates. Both topological and controllability analyses provide evidence of wide-reaching network effects stemming from the addition of viral-host protein interactions. Virus interacting and driver host proteins are significant both topologically and in controllability, therefore playing important roles in cell behavior during infection. 24 proteins are identified as holding regulatory roles specific to the infected cell by measures of topology, controllability, and functional role. These proteins are recommended for further study as potential antiviral drug targets.ImportanceSeasonal outbreaks of influenza A virus are a major cause of illness and death around the world each year, with a constant threat of pandemic infection. Even so, the FDA has only approved four treatments, two of which are unsuited for at risk groups such as children and those with breathing complications. This research aims to increase the efficiency of antiviral drug target discovery using existing protein-protein interaction data and network analysis methods. Controllability analyses identify key regulating host factors of the infected cell’s progression, findings which are supported by biological context. These results are beneficial to future studies of influenza virus, both experimental and computational.

Dynamic phospho-modification of viral proteins as a crucial regulatory layer of influenza A virus replication and innate immune responses

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Yvonne Boergeling ◽  
Linda Brunotte ◽  
Stephan Ludwig
Keyword(s):  
Influenza Virus ◽  
Virus Replication ◽  
Influenza A ◽  
Current Knowledge ◽  
Viral Proteins ◽  
Transport Processes ◽  
Influenza Viruses ◽  
Innate Immune ◽  
A Genome ◽  
Influenza Virus Replication

Abstract Influenza viruses are small RNA viruses with a genome of about 13 kb. Because of this limited coding capacity, viral proteins have evolved to fulfil multiple functions in the infected cell. This implies that there must be mechanisms allowing to dynamically direct protein action to a distinct activity in a spatio-temporal manner. Furthermore, viruses exploit many cellular processes, which also have to be dynamically regulated during the viral replication cycle. Phosphorylation and dephosphorylation of proteins are fundamental for the control of many cellular responses. There is accumulating evidence that this mechanism represents a so far underestimated level of regulation in influenza virus replication. Here, we focus on the current knowledge of dynamics of phospho-modifications in influenza virus replication and show recent examples of findings underlining the crucial role of phosphorylation in viral transport processes as well as activation and counteraction of the innate immune response.

scholarly journals Drug repositioning of Clopidogrel or Triamterene to inhibit influenza virus replication in vitro

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0259129
Author(s):  
Nichole Orr-Burks ◽  
Jackelyn Murray ◽  
Kyle V. Todd ◽  
Abhijeet Bakre ◽  
Ralph A. Tripp
Keyword(s):  
Influenza Virus ◽  
Virus Replication ◽  
Drug Repositioning ◽  
Antiviral Drug ◽  
Influenza Viruses ◽  
Influenza Virus Replication ◽  
Approved Drugs ◽  
Multiple Strains ◽  
Tract Infections

Influenza viruses cause respiratory tract infections and substantial health concerns. Infection may result in mild to severe respiratory disease associated with morbidity and some mortality. Several anti-influenza drugs are available, but these agents target viral components and are susceptible to drug resistance. There is a need for new antiviral drug strategies that include repurposing of clinically approved drugs. Drugs that target cellular machinery necessary for influenza virus replication can provide a means for inhibiting influenza virus replication. We used RNA interference screening to identify key host cell genes required for influenza replication, and then FDA-approved drugs that could be repurposed for targeting host genes. We examined the effects of Clopidogrel and Triamterene to inhibit A/WSN/33 (EC50 5.84 uM and 31.48 uM, respectively), A/CA/04/09 (EC50 6.432 uM and 3.32 uM, respectively), and B/Yamagata/16/1988 (EC50 0.28 uM and 0.11 uM, respectively) replication. Clopidogrel and Triamterene provide a druggable approach to influenza treatment across multiple strains and subtypes.

scholarly journals Genome-wide RNAi screen identifies human host factors crucial for influenza virus replication

Nature ◽  
2010 ◽  
Vol 463 (7282) ◽  
pp. 818-822 ◽  
Author(s):  
Alexander Karlas ◽  
Nikolaus Machuy ◽  
Yujin Shin ◽  
Klaus-Peter Pleissner ◽  
Anita Artarini ◽  
...  
Keyword(s):  
Influenza Virus ◽  
Virus Replication ◽  
Rnai Screen ◽  
Host Factors ◽  
Human Host ◽  
Genome Wide ◽  
Influenza Virus Replication ◽  
Human Host Factors

scholarly journals G Protein Pathway Suppressor 1 Promotes Influenza Virus Polymerase Activity by Activating the NF-κB Signaling Pathway

mBio ◽  
2019 ◽  
Vol 10 (6) ◽  
Author(s):  
Tomoko Kuwahara ◽  
Seiya Yamayoshi ◽  
Takeshi Noda ◽  
Yoshihiro Kawaoka
Keyword(s):  
Influenza Virus ◽  
Signaling Pathway ◽  
G Protein ◽  
Virus Replication ◽  
Matrix Protein ◽  
Polymerase Activity ◽  
Host Protein ◽  
Host Cells ◽  
Dependent Manner ◽  
Influenza Virus Replication

ABSTRACT Influenza virus relies heavily on cellular machinery to replicate in host cells. Therefore, to better understand the influenza virus life cycle, it is important to identify which host proteins are involved and how they function in virus replication. Previously, we identified G protein pathway suppressor 1 (GPS1) to be a matrix protein 2 (M2)-interacting host protein. GPS1 is a component of the COP9 signalosome, which regulates the NF-κB signaling pathway. Here, we found that the downregulation of GPS1 expression reduced influenza virus replication by more than 2 log units. Although GPS1 was not involved in the early and late stages of virus replication, such as viral entry, uncoating, assembly, or budding, we found that viral polymerase activity was impaired in GPS1-downregulated cells. Moreover, our results suggest that M2 activates the NF-κB signaling pathway in a GPS1-dependent manner and that activation of NF-κB signaling leads to the upregulation of influenza virus polymerase activity. Our findings indicate that GPS1 is involved in the transcription and replication of influenza virus genomic RNA through the activation of the NF-κB signaling pathway. IMPORTANCE In the present study, we identified G protein pathway suppressor 1 (GPS1) to be a host cellular protein that is important for influenza virus replication. We also found that GPS1 plays a role in viral genome transcription through the NF-κB signaling pathway. Moreover, downregulation of GPS1 also affected the growth of vesicular stomatitis virus. Therefore, GPS1 may be a host target for antiviral drugs against influenza virus and possibly other viruses.

scholarly journals Human host factors required for influenza virus replication

Nature ◽  
2009 ◽  
Vol 463 (7282) ◽  
pp. 813-817 ◽  
Author(s):  
Renate König ◽  
Silke Stertz ◽  
Yingyao Zhou ◽  
Atsushi Inoue ◽  
H. -Heinrich Hoffmann ◽  
...  
Keyword(s):  
Influenza Virus ◽  
Virus Replication ◽  
Host Factors ◽  
Human Host ◽  
Influenza Virus Replication ◽  
Human Host Factors
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