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Zika Virus Specific Diagnostic Epitope Discovery.
Sabalza, Maite; Barber, Cheryl A; Abrams, William R; Montagna, Richard; Malamud, Daniel.
Affiliation
  • Sabalza M; Department of Basic Sciences and Craniofacial Development, New York University College of Dentistry; ms10129@nyu.edu.
  • Barber CA; Department of Basic Sciences and Craniofacial Development, New York University College of Dentistry.
  • Abrams WR; Department of Basic Sciences and Craniofacial Development, New York University College of Dentistry.
  • Montagna R; Rheonix, Inc.
  • Malamud D; Department of Basic Sciences and Craniofacial Development, New York University College of Dentistry; Department of Medicine, New York University Langone School of Medicine.
J Vis Exp ; (130)2017 12 12.
Article in En | MEDLINE | ID: mdl-29286404
High-density peptide microarrays allow screening of more than six thousand peptides on a single standard microscopy slide. This method can be applied for drug discovery, therapeutic target identification, and developing of diagnostics. Here, we present a protocol to discover specific Zika virus (ZIKV) diagnostic peptides using a high-density peptide microarray. A human serum sample validated for ZIKV infection was incubated with a high-density peptide microarray containing the entire ZIKV protein translated into 3,423 unique 15 linear amino acid (aa) residues with a 14-aa residue overlap printed in duplicate. Staining with different secondary antibodies within the same array, we detected peptides that bind to Immunoglobulin M (IgM) and Immunoglobulin G (IgG) antibodies present in serum. These peptides were selected for further validation experiments. In this protocol, we describe the strategy followed to design, process, and analyze a high-density peptide microarray.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Zika Virus / Zika Virus Infection / Antibodies, Viral / Epitopes Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: J Vis Exp Year: 2017 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Zika Virus / Zika Virus Infection / Antibodies, Viral / Epitopes Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: J Vis Exp Year: 2017 Document type: Article Country of publication: