Proteomics

Dataset Information

0

Proteome allocation of budding yeast under different growth rates


ABSTRACT: Metabolism is at the core of cellular function as it provides free energy and building blocks required for cellular growth, and it has evolved to contain extensive regulation to adjust the activity of each pathway to the cellular needs at a given time. Here we used yeast as model to study how flux through the metabolic network is controlled. Using a systems biology approach, where we combined multi-omics analysis with metabolic modelling, we could classify overall regulatory patterns in key cellular pathways. We conclude that whereas transcriptional regulation is dominant for most metabolic pathways, there is increased enzyme saturation for increased specific growth rates, but glycolysis stands out as having far more complex regulation, which involves both protein-phosphorylation and metabolite-enzyme interactions.

INSTRUMENT(S): Q Exactive

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

SUBMITTER: Jianye Xia  

LAB HEAD: Jens Nielsen

PROVIDER: PXD012891 | Pride | 2021-09-08

REPOSITORIES: Pride

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Publications

Quantifying absolute gene expression profiles reveals distinct regulation of central carbon metabolism genes in yeast.

Yu Rosemary R   Vorontsov Egor E   Sihlbom Carina C   Nielsen Jens J  

eLife 20210315


In addition to controlled expression of genes by specific regulatory circuits, the abundance of proteins and transcripts can also be influenced by physiological states of the cell such as growth rate and metabolism. Here we examine the control of gene expression by growth rate and metabolism, by analyzing a multi-omics dataset consisting of absolute-quantitative abundances of the transcriptome, proteome, and amino acids in 22 steady-state yeast cultures. We find that transcription and translatio  ...[more]

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