Evidence map›Paper›PMID 27824133›Full record

ArticleScientific reports2016

High-throughput immuno-profiling of mamba (Dendroaspis) venom toxin epitopes using high-density peptide microarrays.

Mikael Engmark, Mikael R Andersen, Andreas H Laustsen, Jigar Patel, Eric Sullivan, Federico de Masi, Christian S Hansen, Jens V Kringelum, Bruno Lomonte, José María Gutiérrez and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.3field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

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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

11 authors at 3 institutions in 3 countries.

Mikael EngmarkTechnical University of Denmark, Department of Bio and Health Informatics, Kgs. Lyngby, 2800, Denmark.
Mikael R AndersenTechnical University of Denmark, Department of Biotechnology and Biomedicine, Kgs. Lyngby, 2800, Denmark.
Andreas H LaustsenTechnical University of Denmark, Department of Biotechnology and Biomedicine, Kgs. Lyngby, 2800, Denmark.
Jigar PatelRoche NimbleGen, Madison, Wisconsin 53719, USA.
Eric SullivanRoche NimbleGen, Madison, Wisconsin 53719, USA.
Federico de MasiTechnical University of Denmark, Department of Bio and Health Informatics, Kgs. Lyngby, 2800, Denmark.
Christian S HansenTechnical University of Denmark, Department of Bio and Health Informatics, Kgs. Lyngby, 2800, Denmark.
Jens V KringelumTechnical University of Denmark, Department of Bio and Health Informatics, Kgs. Lyngby, 2800, Denmark.
Bruno LomonteInstituto Clodomiro Picado, Facultad de Microbiología, Universidad de Costa Rica, San José 11501, Costa Rica.
José María GutiérrezInstituto Clodomiro Picado, Facultad de Microbiología, Universidad de Costa Rica, San José 11501, Costa Rica.
Ole LundTechnical University of Denmark, Department of Bio and Health Informatics, Kgs. Lyngby, 2800, Denmark.
Technical University of Denmark · DKLa Roche College · USUniversidad de Costa Rica · CR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Snakebite envenoming is a serious condition requiring medical attention and administration of antivenom. Current antivenoms are antibody preparations obtained from the plasma of animals immunised with whole venom(s) and contain antibodies against snake venom toxins, but also against other antigens. In order to better understand the molecular interactions between antivenom antibodies and epitopes on snake venom toxins, a high-throughput immuno-profiling study on all manually curated toxins from Dendroaspis species and selected African Naja species was performed based on custom-made high-density peptide microarrays displaying linear toxin fragments. By detection of binding for three different antivenoms and performing an alanine scan, linear elements of epitopes and the positions important for binding were identified. A strong tendency of antivenom antibodies recognizing and binding to epitopes at the functional sites of toxins was observed. With these results, high-density peptide microarray technology is for the first time introduced in the field of toxinology and molecular details of the evolution of antibody-toxin interactions based on molecular recognition of distinctive toxic motifs are elucidated.

Indexed as

DendroaspisPeptide LibraryAnimalsAntiveninsElapid VenomsEpitopesProtein Array AnalysisAntiveninsElapid VenomsEpitopesPeptide Library

Identifiers

PMID27824133
PMCPMC5100549
OpenAlexW2556495444

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.