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Status |
Public on Oct 11, 2023 |
Title |
Linear epitope mapping in the E and NS1 proteins of dengue and Zika viruses: prospection of peptides for vaccines and diagnostics GA_DZ_V2 |
Platform organisms |
Dengue virus; Zika virus |
Sample organism |
Homo sapiens |
Experiment type |
Protein profiling by protein array
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Summary |
Dengue and Zika are two mosquito-borne diseases of great concern, affecting mainly the tropical and subtropical regions worldwide. The arrival of Zika virus (ZIKV) in dengue virus (DENV) endemic areas imposed challenges for differential diagnosis and the development of candidate vaccines. The use of peptides has shown great potential to achieve these goals. We aimed to identify the linear epitope profile recognized by the serum samples of dengue and Zika patients in the E and NS1 proteins of DENV and ZIKV to select peptides with the potential for the development of diagnostic tests and vaccines. Analysis of a peptide microarray platform with serum samples of dengue and Zika patients demonstrated that the epitopes were evenly distributed across the entire viral proteins, showing no preference for particular regions. However, several epitopes were within epitope hot spots constituted by clusters of peptides recognized in more than 30% of the sub-arrays analyzed with individual or pools of serum samples. The serum samples of dengue and Zika patients showed a high level of cross-reaction for epitopes in the DENV and ZIKV proteins. Analysis of an additional peptide microarray platform containing selected peptides based on the results of the first screening showed that three peptides (DENV: TQGEPSLNEEQDKRF and TQTVGPWHLGKLEID; ZIKV: LELDPPFGDSYIVIG), highly specific for their cognate viruses (p<0.05), were within the epitope hot spots; however, these peptides showed low detection rates (32.5, 35.0, and 28.6%, respectively). We also found two peptides (DENV: WEVEDYGFGVFTTNI and LELDFDLCEGTTVVV) in the epitope hot spots detected by both dengue and Zika patients with similarly high rates (arbitrary detection rate cut-off threshold of ≥40%). The epitope hot spots harbor several immunodominant epitopes recognized by a higher number of individuals when compared to the 15 aa sequence peptides. Therefore, the entire epitope hot spots, spanning up to ~30 aa, would have more potential than peptides of only 15 aa to serve as antigens in diagnostic tests and vaccine developments.
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Overall design |
Based on the results obtained from the GA_DZ_V1 platform, several 15-amino acid peptides (n=248) were chosen for the design of this peptide microarray slide. The peptide microarray slide comprised five identical sub-arrays, each containing duplicated spots of viral peptides (PEPperPRINT, Heidelberg, Germany). Additionally, the sub-arrays incorporated 38 spots of the influenza virus YPYDVPDYAG peptide and 36 spots of the poliovirus KEVPALTAVETGAT peptide. These peptides served as negative and positive controls, respectively, in the immunoassays. This microarray platform was evaluated with serum samples obtained from dengue (n=40) and Zika (n=21) patients, as well as uninfected controls (n=3). An individual serum sample was included in each sub-array during the immunodetection assay.
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Contributor(s) |
Hugo Aquino V, Fumagalli MJ, Silva A, Vidal de Moura Negrini B, Rojas A, Guillen Y, Bernal C, Tadeu Moraes Figueiredo L |
Citation(s) |
37788262 |
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Submission date |
Jun 15, 2023 |
Last update date |
Oct 12, 2023 |
Contact name |
Victor Hugo Aquino |
E-mail(s) |
vhaquino@iics.una.py
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Organization name |
National University of Asuncion
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Department |
Research Institute for Health Sciences
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Lab |
Immunology
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Street address |
Dr. Cecilio Báez c / Dr. Gaspar Villamayor
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City |
San Lorenzo |
State/province |
Central |
ZIP/Postal code |
2169 |
Country |
Paraguay |
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Platforms (1) |
GPL33496 |
E and NS1 proteins of dengue and Zika viruses GA_DZ_V2 |
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Samples (64)
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This SubSeries is part of SuperSeries: |
GSE235045 |
Linear epitope mapping in the E and NS1 proteins of dengue and Zika viruses: prospection of peptides for vaccines and diagnostics |
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Relations |
BioProject |
PRJNA984261 |