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Absolute quantification of yeast proteome

ABSTRACT: Protein synthesis is the most energy consuming process in a proliferating cell, and understanding what controls protein abundances and how this impacts changes in metabolic fluxes is a key question in biology. We quantified mRNA and protein levels in Saccharomyces cerevisiae under ten environmental conditions. Linear correlation across all proteins predicted only 45% of the final protein abundances based on corresponding mRNAs, however, very good condition-dependent correlation was identified for individual proteins pointing to constant translation efficiency across the ten conditions. Hence, protein turnover was measured and combined with quantitative abundances to calculate translation efficiencies which were found to vary more than 400-fold. Non-linear regression analysis detected that mRNA abundance and translation elongation are the dominant factors controlling protein synthesis rate. Protein turnover was detected to play a minor role in determining protein levels, however, contributing markedly to overall cellular energy metabolism. Mitochondrial fluxes were detected to be the only major exception for flux control being at the posttranscriptional level. The here collected quantitative data provide a valuable resource for future studies.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Petri-Jaan Lahtvee

LAB HEAD: Jens Nielsen

PROVIDER: PXD005041 | Pride | 2017-03-07

REPOSITORIES: Pride

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			Action	DRS
	150415_05_Orbi2_SK_SER_G240_T275_Lahtvee_C2U7.raw	Raw
	150415_07_Orbi2_SK_SER_G240_T275_Lahtvee_C2U5.raw	Raw
	150415_09_Orbi2_SK_SER_G240_T275_Lahtvee_C6U5.raw	Raw
	150415_11_Orbi2_SK_SER_G240_T275_Lahtvee_C3U6_R1.raw	Raw
	150415_13_Orbi2_SK_SER_G240_T275_Lahtvee_C3U1.raw	Raw

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