Evidence map›Paper›PMID 38668606›Full record

ArticleToxins2024

Studying Venom Toxin Variation Using Accurate Masses from Liquid Chromatography-Mass Spectrometry Coupled with Bioinformatic Tools.

Luis L Alonso, Jory van Thiel, Julien Slagboom, Nathan Dunstan, Cassandra M Modahl, Timothy N W Jackson, Saer Samanipour, Jeroen Kool

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxins, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 3 countries.

Luis L AlonsoDivision 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.ORCID 0000-0003-3922-8099
Jory van ThielDivision 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.ORCID 0000-0002-5187-7342
Julien SlagboomDivision 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.ORCID 0000-0003-2929-1086
Nathan DunstanVenom Supplies Pty. Ltd., Tanunda, SA 5352, Australia.
Cassandra M ModahlCentre for Snakebite Research & Interventions, Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK.ORCID 0000-0003-2211-3930
Timothy N W JacksonAustralian Venom Research Unit, Department of Biochemistry and Pharmacology, University of Melbourne, Parkville, VIC 3010, Australia.
Saer SamanipourVan't Hof Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.ORCID 0000-0001-8270-6979
Jeroen KoolDivision 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.ORCID 0000-0002-0011-5612
Vrije Universiteit Amsterdam · NLInstitute for Atomic and Molecular Physics · NLLeiden University · NLLiverpool School of Tropical Medicine · GBThe University of Melbourne · AU

Funding

Wellcome TrustWellcome Trust [221712/Z/20/Z]
6 · The paper itself

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 (

Indexed as

Computational BiologyElapid VenomsAnimalsElapidaeLiquid Chromatography-Mass SpectrometryElapid Venomsdata analysishigh throughputLC-MSsnake venom

Identifiers

PMID38668606
PMCPMC11053424
OpenAlexW4394570446

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.