Evidence map›Paper›PMID 29208748›Full record

ArticlemBio2017

From Cell Death to Metabolism: Holin-Antiholin Homologues with New Functions.

Marielle H van den Esker, Ákos T Kovács, Oscar P Kuipers

Open access · goldAbstract read
In one paragraph

Article in mBio, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Effect of Extracts, Fractions, and Isolated Molecules ofAntibiotics (Basel, Switzerland) · 2023
    Article
  3. Review
  4. Article
  5. Article
  6. Genome Sequences ofBiology · 2020
    Article
  7. Environmental Triggers ofFrontiers in microbiology · 2020
    Article
  8. Article
  9. Article
  10. Peptide Occurring in Enterobacteriaceae TriggersFrontiers in cellular and infection microbiology · 2019
    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

3 authors at 2 institutions in 2 countries.

Marielle H van den EskerDepartment of Molecular Genetics, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands.
Ákos T KovácsBacterial Interactions and Evolution Group, Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID http://orcid.org/0000-0002-4465-1636
Oscar P KuipersDepartment of Molecular Genetics, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands o.p.kuipers@rug.nl.ORCID http://orcid.org/0000-0001-5596-7735
University of Groningen · NLTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmed cell death in bacteria is generally triggered by membrane proteins with functions analogous to those of bacteriophage holins: they disrupt the membrane potential, whereas antiholins antagonize this process. The holin-like class of proteins is present in all three domains of life, but their functions can be different, depending on the species. Using a series of biochemical and genetic approaches, in a recent article in

Indexed as

Bacillus subtilisBacterial ProteinsBacteriophagesBiological EvolutionBiological TransportCell DeathMembrane Transport ProteinsPyruvic AcidRegulatory Elements, TranscriptionalViral ProteinsBacterial ProteinsMembrane Transport ProteinsPyruvic AcidViral ProteinsantiholinBacillus subtilisevolutionholinmetabolismprogrammed cell deathpyruvateStaphylococcus aureus

Identifiers

PMID29208748
PMCPMC5717393
OpenAlexW2775628615

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.