Next Article in Journal
Role of Homologous Fc Fragment in the Potency and Efficacy of Anti‐Botulinum Antibody Preparations
Previous Article in Journal
Electron Paramagnetic Resonance (EPR) Spectroscopy in Studies of the Protective Effects of 24-Epibrasinoide and Selenium against Zearalenone-Stimulation of the Oxidative Stress in Germinating Grains of Wheat
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessEditor’s ChoiceArticle
Toxins 2017, 9(6), 179; doi:10.3390/toxins9060179

Venom On-a-Chip: A Fast and Efficient Method for Comparative Venomics

1
Molecular Ecology and Fisheries Genetics Lab, School of Biological Sciences, Bangor University, Bangor LL57 2UW, UK
2
Venomics and Structural Proteomics Laboratory, Instituto de Biomedicina de Valencia, CSIC, Jaume Roig 11, Valencia 46010, Spain
*
Authors to whom correspondence should be addressed.
Academic Editor: Kevin Arbuckle
Received: 20 April 2017 / Revised: 23 May 2017 / Accepted: 24 May 2017 / Published: 28 May 2017
(This article belongs to the Section Animal Venoms)
View Full-Text   |   Download PDF [2919 KB, uploaded 28 May 2017]   |  

Abstract

Venom research has attracted an increasing interest in disparate fields, from drug development and pharmacology, to evolutionary biology and ecology, and rational antivenom production. Advances in “-omics” technologies have allowed the characterization of an increasing number of animal venoms, but the methodology currently available is suboptimal for large-scale comparisons of venom profiles. Here, we describe a fast, reproducible and semi-automated protocol for investigating snake venom variability, especially at the intraspecific level, using the Agilent Bioanalyzer on-chip technology. Our protocol generated a phenotype matrix which can be used for robust statistical analysis and correlations of venom variation with ecological correlates, or other extrinsic factors. We also demonstrate the ease and utility of combining on-chip technology with previously fractionated venoms for detection of specific individual toxin proteins. Our study describes a novel strategy for rapid venom discrimination and analysis of compositional variation at multiple taxonomic levels, allowing researchers to tackle evolutionary questions and unveiling the drivers of the incredible biodiversity of venoms. View Full-Text
Keywords: Bioanalyzer; Crotalus; on-chip electrophoresis; population-level variation; venom composition Bioanalyzer; Crotalus; on-chip electrophoresis; population-level variation; venom composition
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zancolli, G.; Sanz, L.; Calvete, J.J.; Wüster, W. Venom On-a-Chip: A Fast and Efficient Method for Comparative Venomics. Toxins 2017, 9, 179.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Toxins EISSN 2072-6651 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top