ReviewFrontiers in immunology2019
Quorum Sensing by Monocyte-Derived Populations.
Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 33 citations in OpenAlex.
- D-histidine exhibited anti-biofilm activity againstMicrobiology spectrum · 2025Article
- Quorum-quenching enzyme Est816 assisted antibiotics against periodontitis induced byFrontiers in cellular and infection microbiology · 2024Article
- Rapid recruitment and IFN-I-mediated activation of monocytes dictate focal radiotherapy efficacy.Science immunology · 2023Article
- Article
- Behind the monocyte's mystique: uncovering their developmental trajectories and fates.Discovery immunology · 2023Review
- Single-cell analysis reveals TLR-induced macrophage heterogeneity and quorum sensing dictate population wide anti-inflammatory feedback in response to LPS.Frontiers in immunology · 2023Article
- Review
- A New Perspective on Regulation of Pituitary Plasticity: The Network of SOX2-Positive Cells May Coordinate Responses to Challenge.Endocrinology · 2022Article
- Density dependent regulation of inflammatory responses in macrophages.Frontiers in immunology · 2022Article
- Quorum sensing governs collective dendritic cell activation in vivo.The EMBO journal · 2021Article
- It's Not Easy Being Green: A Narrative Review on the Microbiology, Virulence and Therapeutic Prospects of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2021Review
- Immune Regulation in Time and Space: The Role of Local- and Long-Range Genomic Interactions in Regulating Immune Responses.Frontiers in immunology · 2021Review
- Modes of Communication between T Cells and Relevance for Immune Responses.International journal of molecular sciences · 2020Review
- Deciphering Natural Killer Cell Homeostasis.Frontiers in immunology · 2020Review
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quorum sensing is a type of cellular communication that was first described in bacteria, consisting of gene expression regulation in response to changes in cell-population density. Bacteria synthesize and secrete diffusive molecules called autoinducers, which concentration varies accordingly with cell density and can be detected by the producing cells themselves. Once autoinducer concentration reaches a critical threshold, all bacteria within the autoinducer-rich environment react by modifying their genetic expression and adopt a coordinated behavior (e.g., biofilm formation, virulence factor expression, or swarming motility). Recent advances highlight the possibility that such type of communication is not restricted to bacteria, but can exist among other cell types, including immune cells and more specifically monocyte-derived cells (1). For such cells, quorum sensing mechanisms may not only regulate their population size and synchronize their behavior at homeostasis but also alter their activity and function in unexpected ways during immune reactions. Although the nature of immune autoinducers and cellular mechanisms remains to be fully characterized, quorum sensing mechanisms in the immune system challenge our traditional conception of immune cell interactions and likely represent an important mode of communication at homeostasis or during an immune response. In this mini-review, we briefly present the prototypic features of quorum sensing in bacteria and discuss the existing evidence for quorum sensing within the immune system. Mainly, we review quorum sensing mechanisms among monocyte-derived cells, such as the regulation of inflammation by the density of monocyte-derived cells that produce nitric oxide and discuss the relevance of such models in the context of immune-related pathologies.
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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.