ArticleBMC bioinformatics2020
Cell cycle control and environmental response by second messengers in Caulobacter crescentus.
Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- A calcium-binding protein-sigV regulatory circuit modulates stress adaptation and persistence in Caulobacter vibrioides.Archives of microbiology · 2026Article
- Lifestyle-dependent evolution and CtrA-mediated lifestyle transitions shape phage resistance in marine Roseobacter.Nature communications · 2026Article
- Disrupting NtrC function reveals unexpected robustness in a central cell cycle regulatory network.mBio · 2025Article
- Effects of Light and Dark Conditions on the Transcriptome of Aging Cultures of Candidatus Puniceispirillum marinum IMCC1322.Journal of microbiology (Seoul, Korea) · 2024Article
- Influence of the Heme Nitric Oxide/Oxygen Binding Protein (H-NOX) on Cell Cycle Regulation in Caulobacter crescentus.Molecular & cellular proteomics : MCP · 2023Article
- Phosphate starvation decouples cell differentiation from DNA replication control in the dimorphic bacterium Caulobacter crescentus.PLoS genetics · 2023Article
- Synchronized Swarmers and Sticky Stalks: Caulobacter crescentus as a Model for Bacterial Cell Biology.Journal of bacteriology · 2023Review
- Recent advances on the regulation of bacterial biofilm formation by herbal medicines.Frontiers in microbiology · 2022Review
- Cyclic dinucleotides mediate bacterial immunity by dinucleotide cyclase inFrontiers in microbiology · 2022Review
- Modeling the temporal dynamics of master regulators and CtrA proteolysis in Caulobacter crescentus cell cycle.PLoS computational biology · 2022Article
- Computational modeling of unphosphorylated CtrA:iScience · 2021Article
- Selected Research Articles from the 2019 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).BMC genomics · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSecond messengers, c-di-GMP and (p)ppGpp, are vital regulatory molecules in bacteria, influencing cellular processes such as biofilm formation, transcription, virulence, quorum sensing, and proliferation. While c-di-GMP and (p)ppGpp are both synthesized from GTP molecules, they play antagonistic roles in regulating the cell cycle. In C. crescentus, c-di-GMP works as a major regulator of pole morphogenesis and cell development. It inhibits cell motility and promotes S-phase entry by inhibiting the activity of the master regulator, CtrA. Intracellular (p)ppGpp accumulates under starvation, which helps bacteria to survive under stressful conditions through regulating nucleotide levels and halting proliferation. (p)ppGpp responds to nitrogen levels through RelA-SpoT homolog enzymes, detecting glutamine concentration using a nitrogen phosphotransferase system (PTS
resultsWe propose a mathematical model for the dynamics of c-di-GMP and (p)ppGpp in C. crescentus and analyze how the guanine nucleotide-based second messenger system responds to certain environmental changes communicated through the PTS
conclusionsIn this work, we integrate current knowledge and experimental observations from the literature to formulate a novel mathematical model. We analyze the model and demonstrate how the PTS
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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.