ReviewAdvances in experimental medicine and biology2022
Transcriptional Profiling of Pseudomonas aeruginosa Infections.
Review in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
5 citing papers in PubMed.
- Multicenter Genomic Analysis of Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026Article
- [Basic knowledge of phages and their therapeutic application].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Article
- Article
- Primer Exchange Reaction (PER)-Based Construction of Scaffold for Low-Speed Centrifugation-Based Isolation and Quantitative Analysis of P. aeruginosa and its application in analyzing uterine secretions with intrauterine adhesion.Applied biochemistry and biotechnology · 2024Article
- Competitive survival of clonal serialiScience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pseudomonas aeruginosa is an opportunistic pathogen that causes life-devastating acute as well as chronic biofilm-associated infections with limited treatment options. Its success is largely due to its remarkable adaptability. P. aeruginosa uses different long- and short-term adaptive mechanisms to increase its fitness, both at the population level through genetic diversification and at the individual cell level by adapting gene expression. These adapted gene expression profiles can be fixed by the accumulation of patho-adaptive mutations. The latter are often found in transcriptional regulators and lead to rewiring of the regulatory network to promote survival at the infected host site. In this chapter, we review recent developments in transcriptional profiling and explain how these provide new insights into the establishment and maintenance of P. aeruginosa infections. We illustrate what can be learned from the application of advanced RNA-seq technology, such as ex vivo RNA-seq, host-pathogen crosstalk (dual RNA-seq), or recording of transcriptional heterogeneity within a bacterial population (single-cell RNA-seq). In addition, we discuss how large transcriptome datasets from a variety of clinical isolates can be used to gain an expanded understanding of bacterial adaptation during the infection process. Global genotype-phenotype correlation studies provide a unique opportunity to discover new evolutionary pathways of infection-related phenotypes and led to the discovery of different strategies of the pathogen P. aeruginosa to build a biofilm. Insights gained from large-scale, multi-layered functional -omics approaches will continue to contribute to a more comprehensive understanding of P. aeruginosa adaptation to the host habitat and promises to pave the way for novel strategies to combat recalcitrant infections.
Indexed as
Identifiers
36258077What OpenQuestion holds
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.