Noise robustness and metabolic load determine the principles of central dogma regulation.

Autor:	Lo TW; Department of Physics, University of Washington, Seattle, Washington 98195, USA., James Choi H; Department of Physics, University of Washington, Seattle, Washington 98195, USA., Huang D; Department of Physics, University of Washington, Seattle, Washington 98195, USA., Wiggins PA; Department of Physics, University of Washington, Seattle, Washington 98195, USA.; Department of Bioengineering, University of Washington, Seattle, Washington 98195, USA.; Department of Microbiology, University of Washington, Seattle, Washington 98195, USA.
Jazyk:	angličtina
Zdroj:	BioRxiv : the preprint server for biology [bioRxiv] 2024 Aug 15. Date of Electronic Publication: 2024 Aug 15.
DOI:	10.1101/2023.10.20.563172
Abstrakt:	The processes of gene expression are inherently stochastic, even for essential genes required for growth. How does the cell maximize fitness in light of noise? To answer this question, we build a mathematical model to explore the trade-off between metabolic load and growth robustness. The model predicts novel principles of central dogma regulation: Optimal protein expression levels for many genes are in vast overabundance. Essential genes are transcribed above a lower limit of one message per cell cycle. Gene expression is achieved by load balancing between transcription and translation. We present evidence that each of these novel regulatory principles is observed. These results reveal that robustness and metabolic load determine the global regulatory principles that govern gene expression processes, and these principles have broad implications for cellular function. Competing Interests: Competing interests: The authors declare no competing interests.
Databáze:	MEDLINE
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