ArticleMethods in molecular biology (Clifton, N.J.)2014
Assessing Pseudomonas aeruginosa Persister/antibiotic tolerant cells.
Article in Methods in molecular biology (Clifton, N.J.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed.
- Environmental stress shapes persistence-like phenotypes and genomic changes inFrontiers in microbiology · 2026Article
- Dynamics understanding of novel solvated drug molecules against emergingResults in chemistry · 2025Article
- Inhalable tobramycin EEG powder formulation for treating Pseudomonas aeruginosa-induced lung infection.International journal of pharmaceutics · 2024Article
- A role for the stringent response in ciprofloxacin resistance in Pseudomonas aeruginosa.Scientific reports · 2024Article
- Article
- A high-throughput and low-waste viability assay for microbes.Nature microbiology · 2023Article
- Combatting persister cells: The daunting task in post-antibiotics era.Cell insight · 2023Review
- The Antimicrobial Peptide Octopromycin Suppresses Biofilm Formation and Quorum Sensing inAntibiotics (Basel, Switzerland) · 2023Article
- Genome Analysis ofPathogens (Basel, Switzerland) · 2023Article
- PurN Is Involved in Antibiotic Tolerance and Virulence inAntibiotics (Basel, Switzerland) · 2022Article
- Molecular Insights into Binding Mode and Interactions of Structure-Based Virtually Screened Inhibitors forMolecules (Basel, Switzerland) · 2021Article
- Adaptation of the Start-Growth-Time Method for High-Throughput Biofilm Quantification.Frontiers in microbiology · 2021Article
- The use of low-cost brewery waste product for the production of surfactin as a natural microbial biocide.Biotechnology reports (Amsterdam, Netherlands) · 2020Article
- Replication of the Ordered, Nonredundant Library of Pseudomonas aeruginosa strain PA14 Transposon Insertion Mutants.Journal of visualized experiments : JoVE · 2018Article
- Article
- Great phenotypic and genetic variation among successive chronic Pseudomonas aeruginosa from a cystic fibrosis patient.PloS one · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Bacterial persistence, which is observed in a broad range of microbial species, is the capacity of a bacterial cell subpopulation called "persisters" to tolerate exposure to normally lethal concentrations of bactericidal antibiotics. This ability, which is not due to antibiotic-resistant mutants, has been implicated in antibiotic treatment failures and may account for latent, chronic, and relapsing infections. Antibiotic tolerant/Persister (AT/P) cells have been notoriously difficult to study due to their low frequency and transient nature. This chapter describes the main methods used to isolate and study Pseudomonas aeruginosa AT/P cells and discusses new technologies that may ease research of P. aeruginosa persisters in the near future.
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Registered trials
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.