Evidence map›Paper›PMID 40920103›Full record

ArticlemSphere2025

Using BONCAT to dissect the proteome of

Eva D C George Matlalcuatzi, Thomas Bakkum, Pooja S Thomas, Stephan Hacker, Bogdan I Florea, Bastienne Vriesendorp, Daniel E Rozen, Sander I van Kasteren

Abstract read
In one paragraph

Article in mSphere, 2025. 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

8 authors.

Eva D C George MatlalcuatziLeiden Institute of Chemistry and The Institute of Chemical Immunology, Leiden University, Leiden, the Netherlands.
Thomas BakkumLeiden Institute of Chemistry and The Institute of Chemical Immunology, Leiden University, Leiden, the Netherlands.
Pooja S ThomasLeiden Institute of Chemistry and The Institute of Chemical Immunology, Leiden University, Leiden, the Netherlands.
Stephan HackerLeiden Institute of Chemistry and The Institute of Chemical Immunology, Leiden University, Leiden, the Netherlands.
Bogdan I FloreaLeiden Institute of Chemistry and The Institute of Chemical Immunology, Leiden University, Leiden, the Netherlands.
Bastienne VriesendorpInstitute of Biology Leiden, Leiden University, Leiden, the Netherlands.
Daniel E RozenInstitute of Biology Leiden, Leiden University, Leiden, the Netherlands.ORCID 0000-0002-7772-0239
Sander I van KasterenLeiden Institute of Chemistry and The Institute of Chemical Immunology, Leiden University, Leiden, the Netherlands.ORCID 0000-0003-3733-818X

Funding

H2020 European Research Council 865175 - KineTic
6 · The paper itself

Abstract

Bacterial persisters are a subpopulation of cells that exhibit a transient non-susceptible phenotype in the presence of bactericidal antibiotic concentrations. This phenotype can lead to the survival and regrowth of bacteria after treatment, resulting in relapse of infections. It is also a contributing factor to antibacterial resistance. Multiple processes are believed to cause persister formation; however, identifying the proteins expressed during the induction of persistence is challenging because the persister state is rare, transient, and does not result in genetic changes. In this study, we used Bio-Orthogonal Non-Canonical Amino Acid Tagging (BONCAT) to label and retrieve the proteome expressed during persistence and recovery for two strains of

Indexed as

Anti-Bacterial AgentsBacterial ProteinsProteomeProteomicsStaphylococcus aureusAmino AcidsChromatography, LiquidDrug Resistance, BacterialGene Expression Regulation, BacterialMicrobial Sensitivity TestsAmino AcidsAnti-Bacterial AgentsBacterial ProteinsProteomebacterial persistersBONCATproteomics

Identifiers

PMID40920103
PMCPMC12482189

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.