Evidence map›Paper›PMID 29027956›Full record

ArticleToxins2017

Combined Venom Gland Transcriptomic and Venom Peptidomic Analysis of the Predatory Ant Odontomachus monticola.

Kohei Kazuma, Keiichi Masuko, Katsuhiro Konno, Hidetoshi Inagaki

Open access · goldAbstract read
In one paragraph

Article in Toxins, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 35 citations in OpenAlex.

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  3. Toxins · 2026
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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

4 authors at 3 institutions in 1 country.

Kohei KazumaInstitute of Natural Medicine, University of Toyama, 2630 Sugitani, Toyama, Toyama 930-0194, Japan. cokazuma@i.nagoya-u.ac.jp.
Keiichi MasukoSchool of Business Administration, Senshu University, 2-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa 214-8580, Japan. kmasuko@isc.senshu-u.ac.jp.
Katsuhiro KonnoInstitute of Natural Medicine, University of Toyama, 2630 Sugitani, Toyama, Toyama 930-0194, Japan. kkgon@inm.u-toyama.ac.jp.
Hidetoshi InagakiBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki 305-8566, Japan. h-inagaki@aist.go.jp.
University of Toyama · JPNational Institute of Advanced Industrial Science and Technology · JPSenshu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ants (hymenoptera: Formicidae) have adapted to many different environments and have become some of the most prolific and successful insects. To date, 13,258 ant species have been reported. They have been classified into 333 genera and 17 subfamilies. Except for a few Formicinae, Dolichoderinae, and members of other subfamilies, most ant species have a sting with venom. The venoms are composed of formic acid, alkaloids, hydrocarbons, amines, peptides, and proteins. Unlike the venoms of other animals such as snakes and spiders, ant venoms have seldom been analyzed comprehensively, and their compositions are not yet completely known. In this study, we used both transcriptomic and peptidomic analyses to study the composition of the venom produced by the predatory ant species

Indexed as

Amino Acid SequenceAnimalsAntsAnt VenomsDipeptidyl Peptidase 4Exocrine GlandsHyaluronoglucosaminidaseInsect ProteinsPeptidesTranscriptomeAnt VenomsDipeptidyl Peptidase 4HyaluronoglucosaminidaseInsect ProteinsPeptidesOdontomachus monticolapeptidomepilosulin-like peptidetranscriptomevenom gland

Identifiers

PMID29027956
PMCPMC5666370
OpenAlexW2763248038

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.