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Journal of Proteome Research
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Lirias
Article . 2023
License: CC BY
Data sources: Lirias
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High-Throughput Venomics

Authors: Slagboom, Julien; Derks, Rico J.E.; Sadighi, Raya; Somsen, Govert W.; Ulens, Chris; Casewell, Nicholas R.; Kool, Jeroen;

High-Throughput Venomics

Abstract

In this study, we present high-throughput (HT) venomics, a novel analytical strategy capable of performing a full proteomic analysis of a snake venom within 3 days. This methodology comprises a combination of RP-HPLC-nanofractionation analytics, mass spectrometry analysis, automated in-solution tryptic digestion, and high-throughput proteomics. In-house written scripts were developed to process all the obtained proteomics data by first compiling all Mascot search results for a single venom into a single Excel sheet. Then, a second script plots each of the identified toxins in so-called Protein Score Chromatograms (PSCs). For this, for each toxin, identified protein scores are plotted on the y-axis versus retention times of adjacent series of wells in which a toxin was fractionated on the x-axis. These PSCs allow correlation with parallel acquired intact toxin MS data. This same script integrates the PSC peaks from these chromatograms for semiquantitation purposes. This new HT venomics strategy was performed on venoms from diverse medically important biting species; Calloselasma rhodostoma, Echis ocellatus, Naja pallida, Bothrops asper, Bungarus multicinctus, Crotalus atrox, Daboia russelii, Naja naja, Naja nigricollis, Naja mossambica, and Ophiophagus hannah. Our data suggest that high-throughput venomics represents a valuable new analytical tool for increasing the throughput by which we can define venom variation and should greatly aid in the future development of new snakebite treatments by defining toxin composition.

Countries
Belgium, Netherlands
Keywords

Proteomics, Biochemistry & Molecular Biology, Bungarus, Snake Bites, Biochemical Research Methods, venomics, proteomics, Viperidae, Animals, fractionation, high-throughput, mass spectrometry, SNAKE VENOMICS, Elapid Venoms, Science & Technology, 31 Biological sciences, venoms, MASS-SPECTROMETRY, QUANTIFICATION, 06 Biological Sciences, 34 Chemical sciences, high-throughput proteomics, RP-HPLC, ANTIVENOM, 03 Chemical Sciences, Life Sciences & Biomedicine, Snake Venoms

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    25
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Average
Top 10%
Green
hybrid