RNA encodes physical information.
| Autor: | Seim I; Duke University, Department of Cell Biology, Durham, NC.; Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany., Zhang V; Duke University, Department of Cell Biology, Durham, NC., Jalihal AP; Duke University, Department of Cell Biology, Durham, NC., Stormo BM; Duke University, Department of Cell Biology, Durham, NC., Cole SJ; Duke University, Department of Cell Biology, Durham, NC., Ekena J; Duke University, Department of Cell Biology, Durham, NC., Nguyen HT; University at Buffalo, Buffalo, NY., Thirumalai D; University of Texas at Austin, Austin, TX., Gladfelter AS; Duke University, Department of Cell Biology, Durham, NC. |
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| Jazyk: | angličtina |
| Zdroj: | BioRxiv : the preprint server for biology [bioRxiv] 2024 Dec 12. Date of Electronic Publication: 2024 Dec 12. |
| DOI: | 10.1101/2024.12.11.627970 |
| Abstrakt: | Most amino acids are encoded by multiple codons, making the genetic code degenerate. Synonymous mutations affect protein translation and folding, but their impact on RNA itself is often neglected. We developed a genetic algorithm that introduces synonymous mutations to control the diversity of structures sampled by an mRNA. The behavior of the designed mRNAs reveals a physical code layered in the genetic code. We find that mRNA conformational heterogeneity directs physical properties and functional outputs of RNA-protein complexes and biomolecular condensates. The role of structure and disorder of proteins in biomolecular condensates is well appreciated, but we find that RNA conformational heterogeneity is equally important. This feature of RNA enables both evolution and engineers to build cellular structures with specific material and responsive properties. Competing Interests: Competing interests: The authors declare no competing interests. |
| Databáze: | MEDLINE |
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