Evidence map›Paper›PMID 39818874›Full record

ArticlemBio2025

Mapping

Jennifer S Ward, Karl J Schreiber, John Tam, Ji-Young Youn, Roman A Melnyk

Abstract read
In one paragraph

Article in mBio, 2025. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Review
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

5 authors.

Jennifer S WardDepartment of Biochemistry, University of Toronto, Toronto, Ontario, Canada.
Karl J SchreiberMolecular Medicine Program, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.
John TamMolecular Medicine Program, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.
Ji-Young YounMolecular Medicine Program, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.ORCID 0000-0001-6799-5709
Roman A MelnykDepartment of Biochemistry, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-7187-2362

Funding

Canada Foundation for Innovation CFI; 41430Canadian Government | Canadian Institutes of Health Research (CIHR)Canadian Government | Natural Sciences and Engineering Research Council of Canada RGPIN-2022-04849Canadian Government | Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-2023-05371/493127
6 · The paper itself

Abstract

Many bacterial toxins exert their cytotoxic effects by enzymatically inactivating one or more cytosolic targets in host cells. To reach their intracellular targets, these toxins possess functional domains or subdomains that interact with and exploit various host factors and biological processes. Despite great progress in identifying many of the key host factors involved in the uptake of toxins, significant knowledge gaps remain as to how partially characterized and newly discovered microbial toxins exploit host factors or processes to intoxicate target cells. Proximity-dependent biotinylation (e.g., BioID) is a powerful method to identify nearby host factors in living cells, offering the potential to identify host targets of microbial toxins. Here, we used BioID to interrogate proximal interactors of the multi-domain

Indexed as

Bacterial ProteinsBacterial ToxinsBiotinylationClostridioides difficileHost-Pathogen InteractionsCytosolHumansBacterial ProteinsBacterial ToxinstoxB protein, Clostridium difficileBioIDbiotinC. difficilediphtheria toxinreceptortoxin

Identifiers

PMID39818874
PMCPMC11796423

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.