ArticleBMC systems biology2011
Noise regulation by quorum sensing in low mRNA copy number systems.
Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 27 citations in OpenAlex.
- Physical communication pathways in bacteria: an extra layer to quorum sensing.Biophysical reviews · 2025Review
- Phenotypic memory in quorum sensing.PLoS computational biology · 2024Article
- Information transmission in microbial and fungal communication: from classical to quantum.Journal of cell communication and signaling · 2018Article
- The cellular Ising model: a framework for phase transitions in multicellular environments.Journal of the Royal Society, Interface · 2016Article
- Slow protein fluctuations explain the emergence of growth phenotypes and persistence in clonal bacterial populations.PloS one · 2013Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCells must face the ubiquitous presence of noise at the level of signaling molecules. The latter constitutes a major challenge for the regulation of cellular functions including communication processes. In the context of prokaryotic communication, the so-called quorum sensing (QS) mechanism relies on small diffusive molecules that are produced and detected by cells. This poses the intriguing question of how bacteria cope with the fluctuations for setting up a reliable information exchange.
resultsWe present a stochastic model of gene expression that accounts for the main biochemical processes that describe the QS mechanism close to its activation threshold. Within that framework we study, both numerically and analytically, the role that diffusion plays in the regulation of the dynamics and the fluctuations of signaling molecules. In addition, we unveil the contribution of different sources of noise, intrinsic and transcriptional, in the QS mechanism.
conclusionsThe interplay between noisy sources and the communication process produces a repertoire of dynamics that depends on the diffusion rate. Importantly, the total noise shows a non-monotonic behavior as a function of the diffusion rate. QS systems seems to avoid values of the diffusion that maximize the total noise. These results point towards the direction that bacteria have adapted their communication mechanisms in order to improve the signal-to-noise ratio.
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