Evidence map›Paper›PMID 36053795›Full record

ArticleFEBS letters2022

A simplified and easy-to-use HIP HOP assay provides insights into chalcone antifungal mechanisms of action.

Thomas A K Prescott, Laura Anaissi-Afonso, Keith R Fox, Anthony Maxwell, Barry Panaretou, Félix Machín

Abstract read
In one paragraph

Article in FEBS letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Thomas A K PrescottRoyal Botanic Gardens, Kew, Richmond, UK.ORCID https://orcid.org/0000-0002-3039-7067
Laura Anaissi-AfonsoUnidad de Investigación, Hospital Universitario Ntra Sra de Candelaria, Santa Cruz de Tenerife, Spain.
Keith R FoxSchool of Biological Sciences, University of Southampton, UK.
Anthony MaxwellDepartment of Biochemistry and Metabolism, John Innes Centre, Norwich, UK.
Barry PanaretouSchool of Cancer and Pharmaceutical Sciences, King's College London, UK.
Félix MachínUnidad de Investigación, Hospital Universitario Ntra Sra de Candelaria, Santa Cruz de Tenerife, Spain.

Funding

Agencia Canaria de Investigación, Innovación y Sociedad de la Información ProID2017010167Agencia Canaria de Investigación, Innovación y Sociedad de la Información TESIS2017010039Biotechnology and Biological Sciences Research Council BB/P012523/1European Commission's ERDF Structural FundsFundación Canaria Instituto de Investigación Sanitaria de Canarias PIFIIS19/04Ministerio de Ciencia e Innovación BFU2017-83954-RWellcome Trust 110072/Z/15/Z
6 · The paper itself

Abstract

Elucidating the mechanism of action of an antifungal or cytotoxic compound is a time-consuming process. Yeast chemogenomic profiling provides a compelling solution to the problem but is experimentally complex. Here, we demonstrate the use of a highly simplified yeast chemical genetic assay comprising just 89 yeast deletion strains, each diagnostic for a specific mechanism of action. We use the assay to investigate the mechanism of action of two antifungal chalcone compounds, trans-chalcone and 4'-hydroxychalcone, and narrow down the mechanism to transcriptional stress. Crucially, the assay eliminates mechanisms of action such as topoisomerase I inhibition and membrane disruption that have been suggested for related chalcone compounds. We propose this simplified assay as a useful tool to rapidly identify common off-target mechanisms.

Indexed as

ChalconeChalconesAntifungal AgentsSaccharomyces cerevisiae4-hydroxychalcone4'-hydroxychalconeAntifungal AgentsChalconeChalcones4′-hydroxychalconemechanism of actiontrans-chalconetranscriptionyeast array

Identifiers

PMID36053795
PMCPMC10087691

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Registered trials

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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.