ArticleMolecular & cellular proteomics : MCP2017
Rapid Production of Virus Protein Microarray Using Protein Microarray Fabrication through Gene Synthesis (PAGES).
Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Advances in Virus Biorecognition and Detection Techniques for the Surveillance and Prevention of Infectious Diseases.Biosensors · 2025Review
- The N and C-terminal deleted variant of the dengue virus NS1 protein is a potential candidate for dengue vaccine development.Scientific reports · 2024Article
- Glycosaminoglycan microarrays for studying glycosaminoglycan-protein systems.Carbohydrate polymers · 2024Review
- Developments and Applications of Functional Protein Microarrays.Molecular & cellular proteomics : MCP · 2020Review
- Multiplexed Biomarker Panels Discriminate Zika and Dengue Virus Infection in Humans.Molecular & cellular proteomics : MCP · 2018Article
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The high genetic variability of RNA viruses is a significant factor limiting the discovery of effective biomarkers, the development of vaccines, and characterizations of the immune response during infection. Protein microarrays have been shown to be a powerful method in biomarker discovery and the identification of novel protein-protein interaction networks, suggesting that this technique could also be very useful in studies of infectious RNA viruses. However, to date, the amount of genetic material required to produce protein arrays, as well as the time- and labor-intensive procedures typically needed, have limited their more widespread application. Here, we introduce a method, protein microarray fabrication through gene synthesis (PAGES), for the rapid and efficient construction of protein microarrays particularly for RNA viruses. Using dengue virus as an example, we first identify consensus sequences from 3,604 different strains and then fabricate complete proteomic microarrays that are unique for each consensus sequence. To demonstrate their applicability, we show that these microarrays can differentiate sera from patients infected by dengue virus, related pathogens, or from uninfected patients. We anticipate that the microarray and expression library constructed in this study will find immediate use in further studies of dengue virus and that, more generally, PAGES will become a widely applied method in the clinical characterization of RNA viruses.
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