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Absolute Quantification of Protein and mRNA Abundances Demonstrate Variability in Gene-Specific Translation Efficiency in Yeast

Petri-Jaan Lahtvee (Institutionen för biologi och bioteknik, Systembiologi) ; Benjamin Sánchez (Institutionen för biologi och bioteknik, Systembiologi) ; Agata Smialowska (Institutionen för biologi och bioteknik, Systembiologi) ; S. Kasvandik ; I. E. Elsemman ; Francesco Gatto (Institutionen för biologi och bioteknik, Systembiologi) ; Jens B. Nielsen (Institutionen för biologi och bioteknik, Systembiologi)
Cell Systems (2405-4712). Vol. 4 (2017), 5, p. 495-504.e5.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: Saccharomyces-Cerevisiae, Escherichia-Coli, Sequencing Technologies, Transcriptional Control, Lactococcus-Lactis, Metabolic Fluxes, Growth-Rate, Cell-Wall, In-Vivo, Dynamics

Denna post skapades 2017-07-20.
CPL Pubid: 250759


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Institutionen för biologi och bioteknik, Systembiologi


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