ArticleMicrobial informatics and experimentation2011
The Regulatory Network of Pseudomonas aeruginosa.
Article in Microbial informatics and experimentation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 88 citations in OpenAlex.
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- 5-Methyluridine is Ubiquitous in Pseudomonas aeruginosa tRNA and Modulates Antimicrobial Resistance and Virulence.Journal of molecular biology · 2025Article
- Epigenetic cellular memory inProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Functional and Pangenomic Exploration of Roc Two-Component Regulatory Systems Identifies Novel Players Across Pseudomonas Species.Molecular microbiology · 2025Article
- Article
- KLF17 is an important regulatory component of the transcriptomic response of Atlantic salmon macrophages toFrontiers in immunology · 2023Article
- Frequency of quorum-sensing mutations inMicrobiology (Reading, England) · 2022Article
- Functional Characterization of TetR-like Transcriptional Regulator PA3973 fromInternational journal of molecular sciences · 2022Article
- Competition between Pseudomonas aeruginosa and Staphylococcus aureus is dependent on intercellular signaling and regulated by the NtrBC two-component system.Scientific reports · 2022Article
- Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators.Nucleic acids research · 2022Article
- An updated gene regulatory network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851.Memorias do Instituto Oswaldo Cruz · 2022Article
- Homology-based reconstruction of regulatory networks for bacterial and archaeal genomes.Frontiers in microbiology · 2022Article
- The Lrp/AsnC-Type Regulator PA2577 Controls the EamA-like Transporter GeneInternational journal of molecular sciences · 2021Article
- Article
- Identification of a PadR-type regulator essential for intracellular pathogenesis of Burkholderia pseudomallei.Scientific reports · 2021Article
- Transcription Inhibitors with XRE DNA-Binding and Cupin Signal-Sensing Domains Drive Metabolic Diversification inmSystems · 2021Article
- RegulomePA: a database of transcriptional regulatory interactions in Pseudomonas aeruginosa PAO1.Database : the journal of biological databases and curation · 2020Article
- Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPseudomonas aeruginosa is an important bacterial model due to its metabolic and pathogenic abilities, which allow it to interact and colonize a wide range of hosts, including plants and animals. In this work we compile and analyze the structure and organization of an experimentally supported regulatory network in this bacterium.
resultsThe regulatory network consists of 690 genes and 1020 regulatory interactions between their products (12% of total genes: 54% sigma and 16% of transcription factors). This complex interplay makes the third largest regulatory network of those reported in bacteria. The entire network is enriched for activating interactions and, peculiarly, self-activation seems to occur more prominent for transcription factors (TFs), which contrasts with other biological networks where self-repression is dominant. The network contains a giant component of 650 genes organized into 11 hierarchies, encompassing important biological processes, such as, biofilms formation, production of exopolysaccharide alginate and several virulence factors, and of the so-called quorum sensing regulons.
conclusionsThe study of gene regulation in P. aeruginosa is biased towards pathogenesis and virulence processes, all of which are interconnected. The network shows power-law distribution -input degree -, and we identified the top ten global regulators, six two-element cycles, the longest paths have ten steps, six biological modules and the main motifs containing three and four elements. We think this work can provide insights for the design of further studies to cover the many gaps in knowledge of this important bacterial model, and for the design of systems strategies to combat this bacterium.
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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.