Mikhail A Chernykh, Rustam H Ziganshin, Maria I Toropygina, Vladislav V Babenko, Ilya Y Toropygin, Alexander A Vassilevski
{"title":"Variability of sodium channel toxins in Mesobuthus thersites Advised toolkit for comprehensive venomics.","authors":"Mikhail A Chernykh, Rustam H Ziganshin, Maria I Toropygina, Vladislav V Babenko, Ilya Y Toropygin, Alexander A Vassilevski","doi":"10.1016/j.mcpro.2026.101681","DOIUrl":null,"url":null,"abstract":"<p><p>Natural venoms constitute vast combinatorial libraries of ion channel ligands with unprecedented properties including high affinity and selectivity. Scorpion venoms in particular are abundant in sodium and potassium channel ligands representing small proteins or peptides, which are traditionally studied by transcriptomics and proteomics approaches. However, a universal algorithm to pursue the examination of multicomponent peptide-rich mixtures such as venoms is lacking. Here we present a general scheme to the analysis of scorpion toxin arsenal with focus on sodium channel ligands. We explored the venom of the Central Asian scorpion Mesobuthus thersites using venom gland transcriptomics and three proteomic methods. We compared traditional automated annotation by Blast2GO with our custom approach based on regular expressions. We found that the traditional annotation is compromised yielding a considerable percentage of false annotations, whereas our approach is rigorous. As a result, we predicted 120 unique toxin-like peptides from transcriptomic data, 30 of which were omitted by Blast2GO. Using a combination of MALDI and LC-MS proteomic techniques, we detected the presence of 358 peptides in the venom. Our results demonstrate the limitations of the currently used methods in venomics and suggest a preferred framework for the investigation of toxin variability. Implementation of this framework will aid toxinologists to uncover previously elusive or undetected venom components.</p>","PeriodicalId":18712,"journal":{"name":"Molecular & Cellular Proteomics","volume":" ","pages":"101681"},"PeriodicalIF":6.3000,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular & Cellular Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.mcpro.2026.101681","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Natural venoms constitute vast combinatorial libraries of ion channel ligands with unprecedented properties including high affinity and selectivity. Scorpion venoms in particular are abundant in sodium and potassium channel ligands representing small proteins or peptides, which are traditionally studied by transcriptomics and proteomics approaches. However, a universal algorithm to pursue the examination of multicomponent peptide-rich mixtures such as venoms is lacking. Here we present a general scheme to the analysis of scorpion toxin arsenal with focus on sodium channel ligands. We explored the venom of the Central Asian scorpion Mesobuthus thersites using venom gland transcriptomics and three proteomic methods. We compared traditional automated annotation by Blast2GO with our custom approach based on regular expressions. We found that the traditional annotation is compromised yielding a considerable percentage of false annotations, whereas our approach is rigorous. As a result, we predicted 120 unique toxin-like peptides from transcriptomic data, 30 of which were omitted by Blast2GO. Using a combination of MALDI and LC-MS proteomic techniques, we detected the presence of 358 peptides in the venom. Our results demonstrate the limitations of the currently used methods in venomics and suggest a preferred framework for the investigation of toxin variability. Implementation of this framework will aid toxinologists to uncover previously elusive or undetected venom components.
期刊介绍:
The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.
The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.
Scope:
-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights
-Novel experimental and computational technologies
-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes
-Pathway and network analyses of signaling that focus on the roles of post-translational modifications
-Studies of proteome dynamics and quality controls, and their roles in disease
-Studies of evolutionary processes effecting proteome dynamics, quality and regulation
-Chemical proteomics, including mechanisms of drug action
-Proteomics of the immune system and antigen presentation/recognition
-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease
-Clinical and translational studies of human diseases
-Metabolomics to understand functional connections between genes, proteins and phenotypes