ArticleMolecular & cellular proteomics : MCP2015
Characterization of the host response to pichinde virus infection in the Syrian golden hamster by species-specific kinome analysis.
Article in Molecular & cellular proteomics : MCP, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Variola Virus and Clade I Mpox Virus Differentially Modulate Cellular Responses Longitudinally in Monocytes During Infection.The Journal of infectious diseases · 2024Article
- Midgut microbiota affects the intestinal barrier by producing short-chain fatty acids inFrontiers in microbiology · 2023Article
- Pathogenic and transcriptomic differences of emerging SARS-CoV-2 variants in the Syrian golden hamster model.bioRxiv : the preprint server for biology · 2021Article
- TRIM2, a novel member of the antiviral family, limits New World arenavirus entry.PLoS biology · 2019Article
- Syrian Hamster as an Animal Model for the Study on Infectious Diseases.Frontiers in immunology · 2019Review
- Methods and approaches to disease mechanisms using systems kinomics.Synthetic and systems biotechnology · 2018Review
- Non-digestible oligosaccharides directly regulate host kinome to modulate host inflammatory responses without alterations in the gut microbiota.Microbiome · 2017Article
- Syrian Hamsters as a Small Animal Model for Emerging Infectious Diseases: Advances in Immunologic Methods.Advances in experimental medicine and biology · 2017Article
- A hamster model for Marburg virus infection accurately recapitulates Marburg hemorrhagic fever.Scientific reports · 2016Article
- Integration of Global Analyses of Host Molecular Responses with Clinical Data To Evaluate Pathogenesis and Advance Therapies for Emerging and Re-emerging Viral Infections.ACS infectious diseases · 2016Review
- Rodent-Adapted Filoviruses and the Molecular Basis of Pathogenesis.Journal of molecular biology · 2016Review
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
The Syrian golden hamster has been increasingly used to study viral hemorrhagic fever (VHF) pathogenesis and countermeasure efficacy. As VHFs are a global health concern, well-characterized animal models are essential for both the development of therapeutics and vaccines as well as for increasing our understanding of the molecular events that underlie viral pathogenesis. However, the paucity of reagents or platforms that are available for studying hamsters at a molecular level limits the ability to extract biological information from this important animal model. As such, there is a need to develop platforms/technologies for characterizing host responses of hamsters at a molecular level. To this end, we developed hamster-specific kinome peptide arrays to characterize the molecular host response of the Syrian golden hamster. After validating the functionality of the arrays using immune agonists of defined signaling mechanisms (lipopolysaccharide (LPS) and tumor necrosis factor (TNF)-α), we characterized the host response in a hamster model of VHF based on Pichinde virus (PICV(1)) infection by performing temporal kinome analysis of lung tissue. Our analysis revealed key roles for vascular endothelial growth factor (VEGF), interleukin (IL) responses, nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling, and Toll-like receptor (TLR) signaling in the response to PICV infection. These findings were validated through phosphorylation-specific Western blot analysis. Overall, we have demonstrated that hamster-specific kinome arrays are a robust tool for characterizing the species-specific molecular host response in a VHF model. Further, our results provide key insights into the hamster host response to PICV infection and will inform future studies with high-consequence VHF pathogens.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.