lifesciences
Innopsys

High-density peptide microarray exploration of the antibody response in a rabbit immunized with a neurotoxic venom fraction

Abstract:

Polyvalent snakebite antivenoms derive their therapeutic success from the ability of their antibodies to neutralize venom toxins across multiple snake species. This ability results from a production process involving immunization of large mammals with a broad suite of toxins present in venoms. As a result of immunization with this wide range of toxins, many polyvalent antivenoms have a high degree of cross-reactivity to similar toxins in other snake venoms – a cross-reactivity which cannot easily be deconvoluted. As a proof of concept, we aimed at exploring the opposite scenario by performing a high-throughput evaluation of the extent of cross-reactivity of a polyclonal mixture of antibodies that was raised against only a single snake venom fraction. For this purpose, a venom fraction containing short neurotoxin 1 (SN-1; Uniprot accession number P01416, three-finger toxin (3FTx) family), which is the medically most important toxin from the notorious black mamba (Dendroaspis polylepis), was employed. Following immunization of a rabbit, a specific polyclonal antibody response was confirmed by ELISA and immunodiffusion. Subsequently, these antibodies were investigated by high-density peptide microarray to reveal linear elements of recognized epitopes across 742 3FTxs and 10 dendrotoxins. This exploratory study demonstrates in a single immunized animal that cross-reactivity between toxins of high similarity may be difficult to obtain when immunizing with a single 3FTx containing venom fraction. Additionally, this study explored the influence of employing different lengths of peptides in high-density peptide microarray experiments for identification of toxin epitopes. Using 8-mer, 12-mer, and 15-mer peptides, a single linear epitope element was identified in SN-1 with high precision.

Credits:

Mikael Engmarka,b, Martin C. Jespersena, Bruno Lomontec, Ole Lunda, Andreas H. Laustenb.

  • a. Department of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, Denmark
  • b. Department of Biotechnology and Biomedicine, Technical University of Denmark, Kgs, Lyngby, Denmark
  • c. Instituto Coldomiro Picado, Facultad de Microbiologia, Universidad de Costa Rica, San José, Costa Rica

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