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• W2913167275 abstract "How living cells employ counting mechanisms to regulate their numbers or density is a long-standing problem in developmental biology that ties directly with organism or tissue size. Diverse cells types have been shown to regulate their numbers via secretion of factors in the extracellular space. These factors act as a proxy for the number of cells and function to reduce cellular proliferation rates creating a negative feedback. It is desirable that the production rate of such factors be kept as low as possible to minimize energy costs and detection by predators. Here we formulate a stochastic model of cell proliferation with feedback control via a secreted extracellular factor. Our results show that while low levels of feedback minimizes random fluctuations in cell numbers around a given set point, high levels of feedback amplify Poisson fluctuations in secreted-factor copy numbers. This trade-off results in an optimal feedback strength, and sets a fundamental limit to noise suppression in cell numbers with short-lived factors providing more efficient noise buffering. We further expand the model to consider external disturbances in key physiological parameters, such as, proliferation and factor synthesis rates. Intriguingly, while negative feedback effectively mitigates disturbances in the proliferation rate, it amplifies disturbances in the synthesis rate. In summary, these results provide unique insights into the functioning of feedback-based counting mechanisms, and apply to organisms ranging from unicellular prokaryotes and eukaryotes to human cells." @default.
• W2913167275 created "2019-02-21" @default.
• W2913167275 creator A5002765512 @default.
• W2913167275 creator A5022267407 @default.
• W2913167275 date "2018-12-01" @default.
• W2913167275 modified "2023-09-26" @default.
• W2913167275 title "Controlling organism size by regulating constituent cell numbers" @default.
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• W2913167275 doi "https://doi.org/10.1109/cdc.2018.8619546" @default.
• W2913167275 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6420813" @default.
• W2913167275 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30886453" @default.
• W2913167275 hasPublicationYear "2018" @default.
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