ArticleScience advances2024
Noise robustness and metabolic load determine the principles of central dogma regulation.
Article in Science advances, 2024. 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.
- Bridging energy and proteome allocation models allows prediction of the resource cost of traits across environments.PLoS biology · 2026Article
- Protein overabundance is driven by growth robustness.Science advances · 2026Article
- Considering Metabolic Context in Enzyme Evolution and Design.Biochemistry · 2025Review
- Protein overabundance is driven by growth robustness.bioRxiv : the preprint server for biology · 2025Article
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Abstract
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 provides insights for 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 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.
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