ArticlePLoS pathogens2015
The Rsb Phosphoregulatory Network Controls Availability of the Primary Sigma Factor in Chlamydia trachomatis and Influences the Kinetics of Growth and Development.
Article in PLoS pathogens, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 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.
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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.
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Who cites it
27 citing papers in PubMed, 51 citations in OpenAlex.
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- A unique sigma/anti-sigma system in the actinomycete Actinoplanes missouriensis.Nature communications · 2023Article
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- Requirement of GrgA forbioRxiv : the preprint server for biology · 2023Article
- Plasmid-mediated virulence inFrontiers in cellular and infection microbiology · 2023Review
- Molecular pathogenesis ofFrontiers in cellular and infection microbiology · 2023Review
- Impact of nutrients on the function of the chlamydial Rsb partner switching mechanism.Pathogens and disease · 2022Article
- Chlamydia trachomatis RsbU Phosphatase Activity Is Inhibited by the Enolase Product, Phosphoenolpyruvate.Journal of bacteriology · 2022Article
- STAS Domain Only Proteins in Bacterial Gene Regulation.Frontiers in cellular and infection microbiology · 2021Review
- Context-Dependent Action of Scc4 Reinforces Control of the Type III Secretion System.Journal of bacteriology · 2020Article
- Structural and ligand binding analyses of the periplasmic sensor domain of RsbU in Chlamydia trachomatis support a role in TCA cycle regulation.Molecular microbiology · 2020Article
- Efficacy of Antimicrobial Peptide DP7, Designed by Machine-Learning Method, Against Methicillin-ResistantFrontiers in microbiology · 2019Article
- GigA and GigB are Master Regulators of Antibiotic Resistance, Stress Responses, and Virulence in Acinetobacter baumannii.Journal of bacteriology · 2017Article
- The General Stress Response σS Is Regulated by a Partner Switch in the Gram-negative Bacterium Shewanella oneidensis.The Journal of biological chemistry · 2016Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
Chlamydia trachomatis is an obligate intracellular human pathogen that exhibits stage-specific gene transcription throughout a biphasic developmental cycle. The mechanisms that control modulation in transcription and associated phenotypic changes are poorly understood. This study provides evidence that a switch-protein kinase regulatory network controls availability of σ66, the main sigma subunit for transcription in Chlamydia. In vitro analysis revealed that a putative switch-protein kinase regulator, RsbW, is capable of interacting directly with σ66, as well as phosphorylating its own antagonist, RsbV1, rendering it inactive. Conversely, the putative PP2C-like phosphatase domain of chlamydial RsbU was capable of reverting RsbV1 into its active state. Recent advances in genetic manipulation of Chlamydia were employed to inactivate rsbV1, as well as to increase the expression levels of rsbW or rsbV1, in vivo. Representative σ66-dependent gene transcription was repressed in the absence of rsbV1 or upon increased expression of RsbW, and increased upon elevated expression of RsbV1. These effects on housekeeping transcription were also correlated to several measures of growth and development. A model is proposed where the relative levels of active antagonist (RsbV1) and switch-protein anti-sigma factor (RsbW) control the availability of σ66 and subsequently act as a molecular 'throttle' for Chlamydia growth and development.
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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.