Journal article
Absolute Quantification of Protein and mRNA Abundances Demonstrate Variability in GeneSpecific Translation Efficiency in Yeast
Protein synthesis is the most energy-consuming process in a proliferating cell, and understanding what controls protein abundances represents a key question in biology and biotechnology. We quantified absolute abundances of 5,354 mRNAs and 2,198 proteins in Saccharomyces cerevisiae under ten environmental conditions and protein turnover for 1,384 proteins under a reference condition.
The overall correlation between mRNA and protein abundances across all conditions was low (0.46), but for differentially expressed proteins (n = 202), the median mRNA-protein correlation was 0.88. We used these data to model translation efficiencies and found that they vary more than 400-fold between genes.
Non-linear regression analysis detected that mRNA abundance and translation elongation were the dominant factors controlling protein synthesis, explaining 61% and 15% of its variance. Metabolic flux balance analysis further showed that only mitochondrial fluxes were positively associated with changes at the transcript level.
The present dataset represents a crucial expansion to the current resources for future studies on yeast physiology.
| Language: | English |
|---|---|
| Year: | 2017 |
| Pages: | 495-504 |
| ISSN: | 24054712 and 24054720 |
| Types: | Journal article |
| DOI: | 10.1016/j.cels.2017.03.003 |
| ORCIDs: | Elsemman, Ibrahim |
Gene Expression Regulation, Fungal Protein Biosynthesis Protein Processing, Post-Translational Proteolysis Proteome Proteomics RNA, Messenger Saccharomyces cerevisiae Saccharomyces cerevisiae Proteins Transcriptome absolute proteome absolute transcriptome genome-scale metabolic modeling integrative data analysis protein degradation rates protein turnover translation efficiency translational control
