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Studying Venom Toxin Variation Using Accurate Masses from Liquid Chromatography-Mass Spectrometry Coupled with Bioinformatic Tools.
Alonso, Luis L; van Thiel, Jory; Slagboom, Julien; Dunstan, Nathan; Modahl, Cassandra M; Jackson, Timothy N W; Samanipour, Saer; Kool, Jeroen.
Afiliación
  • Alonso LL; Division of Bioanalytical Chemistry, Department of Chemistry and Pharmaceutical Sciences, Faculty of Sciences, Amsterdam Institute of Molecular and Life Sciences (AIMMS), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
  • van Thiel J; Centre for Analytical Sciences Amsterdam (CASA), 1012 WX Amsterdam, The Netherlands.
  • Slagboom J; Division of Bioanalytical Chemistry, Department of Chemistry and Pharmaceutical Sciences, Faculty of Sciences, Amsterdam Institute of Molecular and Life Sciences (AIMMS), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
  • Dunstan N; Institute of Biology Leiden, Leiden University, 2333 BE Leiden, The Netherlands.
  • Modahl CM; Naturalis Biodiversity Center, 2333 CR Leiden, The Netherlands.
  • Jackson TNW; Division of Bioanalytical Chemistry, Department of Chemistry and Pharmaceutical Sciences, Faculty of Sciences, Amsterdam Institute of Molecular and Life Sciences (AIMMS), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
  • Samanipour S; Centre for Analytical Sciences Amsterdam (CASA), 1012 WX Amsterdam, The Netherlands.
  • Kool J; Venom Supplies Pty. Ltd., Tanunda, SA 5352, Australia.
Toxins (Basel) ; 16(4)2024 Apr 07.
Article en En | MEDLINE | ID: mdl-38668606
ABSTRACT
This study provides a new methodology for the rapid analysis of numerous venom samples in an automated fashion. Here, we use LC-MS (Liquid Chromatography-Mass Spectrometry) for venom separation and toxin analysis at the accurate mass level combined with new in-house written bioinformatic scripts to obtain high-throughput results. This analytical methodology was validated using 31 venoms from all members of a monophyletic clade of Australian elapids brown snakes (Pseudonaja spp.) and taipans (Oxyuranus spp.). In a previous study, we revealed extensive venom variation within this clade, but the data was manually processed and MS peaks were integrated into a time-consuming and labour-intensive approach. By comparing the manual approach to our new automated approach, we now present a faster and more efficient pipeline for analysing venom variation. Pooled venom separations with post-column toxin fractionations were performed for subsequent high-throughput venomics to obtain toxin IDs correlating to accurate masses for all fractionated toxins. This workflow adds another dimension to the field of venom analysis by providing opportunities to rapidly perform in-depth studies on venom variation. Our pipeline opens new possibilities for studying animal venoms as evolutionary model systems and investigating venom variation to aid in the development of better antivenoms.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Venenos Elapídicos Límite: Animals Idioma: En Revista: Toxins (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Venenos Elapídicos Límite: Animals Idioma: En Revista: Toxins (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos
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