ArticleProceedings of the National Academy of Sciences of the United States of America2024
How total mRNA influences cell growth.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- The proportional scaling of mRNA and ribosome concentrations controls eukaryotic cell growth.Nature cell biology · 2026Article
- In Situ Bacterioplankton Growth Partitioning by High-Resolution Metatranscriptomics.Environmental microbiology reports · 2026Article
- A critical review on antibacterial mechanisms of carbon dots: a comprehensive approach to combating multidrug resistance.Archives of microbiology · 2026Review
- Cell Growth and Division Shape mRNA-Protein Correlations.bioRxiv : the preprint server for biology · 2026Article
- Evolutionary constraints on RNA polymerase gene positioning in the genome of fast-growing bacteria.Nucleic acids research · 2026Article
- Article
- Single-cell heterogeneity in ribosome content and the consequences for the growth laws.bioRxiv : the preprint server for biology · 2024Article
- How total mRNA influences cell growth.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Experimental observations tracing back to the 1960s imply that ribosome quantities play a prominent role in determining a cell's growth. Nevertheless, in biologically relevant scenarios, growth can also be influenced by the levels of mRNA and RNA polymerase. Here, we construct a quantitative model of biosynthesis providing testable scenarios for these situations. The model explores a theoretically motivated regime where RNA polymerases compete for genes and ribosomes for transcripts and gives general expressions relating growth rate, mRNA concentrations, ribosome, and RNA polymerase levels. On general grounds, the model predicts how the fraction of ribosomes in the proteome depends on total mRNA concentration and inspects an underexplored regime in which the trade-off between transcript levels and ribosome abundances sets the cellular growth rate. In particular, we show that the model predicts and clarifies three important experimental observations, in budding yeast and
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Registered trials
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