Evidence map›Paper›PMID 35736161›Full record

ArticleMarine drugs2022

Sticking Together an Updated Model for Temporary Adhesion.

Philip Bertemes, Alexandra L Grosbusch, Anik Geschwindt, Bob Kauffmann, Willi Salvenmoser, Birte Mertens, Robert Pjeta, Bernhard Egger, Peter Ladurner

Open access · goldAbstract read
In one paragraph

Article in Marine drugs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. The Involvement of Cell-Type-Specific Glycans inBiomimetics (Basel, Switzerland) · 2022
    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

9 authors at 1 institution in 1 country.

Philip BertemesInstitute of Zoology, University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-8892-1538
Alexandra L GrosbuschInstitute of Zoology, University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-5439-6667
Anik GeschwindtInstitute of Zoology, University of Innsbruck, 6020 Innsbruck, Austria.
Bob KauffmannInstitute of Zoology, University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0003-0836-2228
Willi SalvenmoserInstitute of Zoology, University of Innsbruck, 6020 Innsbruck, Austria.
Birte MertensInstitute of Zoology, University of Innsbruck, 6020 Innsbruck, Austria.
Robert PjetaInstitute of Zoology, University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-5389-6950
Bernhard EggerInstitute of Zoology, University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0001-6353-9458
Peter LadurnerInstitute of Zoology, University of Innsbruck, 6020 Innsbruck, Austria.
Universität Innsbruck · AT

Funding

Fonds National de la Recherche 13569708FWF Austrian Science Fund P30347
6 · The paper itself

Abstract

Non-parasitic flatworms are known to temporarily attach to the substrate by secreting a multicomponent bioadhesive to counteract water movements. However, to date, only species of two higher-level flatworm taxa (Macrostomorpha and Proseriata) have been investigated for their adhesive proteins. Remarkably, the surface-binding protein is not conserved between flatworm taxa. In this study, we sequenced and assembled a draft genome, as well as a transcriptome, and generated a tail-specific positional RNA sequencing dataset of the polyclad

Indexed as

PlatyhelminthsAnimalsProteinsRNA InterferenceSequence Analysis, RNATranscriptomeProteinsaquaticduo-gland adhesive systemgluein situ hybridisationnon-permanent adhesionPolycladidaRNA interference

Identifiers

PMID35736161
PMCPMC9229212
OpenAlexW4281631532

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.