XRate-limiting steps in yeast protein translation

Premal Shah, Yang Ding, Malwina Niemczyk, Grzegorz Kudla, Joshua B. Plotkin

Research output: Contribution to journalArticlepeer-review

251 Scopus citations

Abstract

Summary Deep sequencing now provides detailed snapshots of ribosome occupancy on mRNAs. We leverage these data to parameterize a computational model of translation, keeping track of every ribosome, tRNA, and mRNA molecule in a yeast cell. We determine the parameter regimes in which fast initiation or high codon bias in a transgene increases protein yield and infer the initiation rates of endogenous Saccharomyces cerevisiae genes, which vary by several orders of magnitude and correlate with 5′ mRNA folding energies. Our model recapitulates the previously reported 5′-to-3′ ramp of decreasing ribosome densities, although our analysis shows that this ramp is caused by rapid initiation of short genes rather than slow codons at the start of transcripts. We conclude that protein production in healthy yeast cells is typically limited by the availability of free ribosomes, whereas protein production under periods of stress can sometimes be rescued by reducing initiation or elongation rates.

Original languageEnglish (US)
Pages (from-to)1589
Number of pages1
JournalCell
Volume153
Issue number7
DOIs
StatePublished - Jun 20 2013
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)

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