| dc.contributor.author | Ghanegolmohammadi, Farzan | |
| dc.contributor.author | Ohnuki, Shinsuke | |
| dc.contributor.author | Byrne, Shane | |
| dc.contributor.author | Raman, Rahul | |
| dc.contributor.author | Begley, Thomas J | |
| dc.contributor.author | Dedon, Peter C | |
| dc.date.accessioned | 2026-04-28T15:49:29Z | |
| dc.date.available | 2026-04-28T15:49:29Z | |
| dc.date.issued | 2026-01-27 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/165714 | |
| dc.description.abstract | The degeneracy of the genetic code is increasingly recognized for roles in regulating translation rate, protein folding, and cell response. However, the functional genomics of codon usage patterns remains poorly defined. We previously showed that prokaryotic and eukaryotic cells respond to individual stresses by uniquely reprogramming the tRNA pool and the dozens of tRNA modifications comprising the tRNA epitranscriptome to cause selective translation of mRNAs from codon-biased stress response genes. Here, we tested the hypothesis that functional gene families have distinct values of codon bias in the Saccharomyces cerevisiae genome by modeling isoacceptor codon distributions using a new approach—analysis of synonymous codon signatures (ASCS). | en_US |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.isversionof | https://doi.org/10.1186/s12915-026-02505-x | en_US |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivatives | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
| dc.source | Springer Science and Business Media LLC | en_US |
| dc.title | Synonymous codon usage defines functional gene families | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Ghanegolmohammadi, F., Ohnuki, S., Byrne, S. et al. Synonymous codon usage defines functional gene families. BMC Biol 24, 44 (2026). | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
| dc.contributor.department | Singapore-MIT Alliance in Research and Technology (SMART) | en_US |
| dc.relation.journal | BMC Biology | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2026-04-28T15:44:17Z | |
| dspace.orderedauthors | Ghanegolmohammadi, F; Ohnuki, S; Byrne, S; Raman, R; Begley, TJ; Dedon, PC | en_US |
| dspace.date.submission | 2026-04-28T15:44:18Z | |
| mit.journal.volume | 24 | en_US |
| mit.journal.issue | 44 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |