Quantifying absolute gene expression profiles reveals distinct regulation of central carbon metabolism genes in yeast
- Chalmers University of Technology, Sweden
- University of Gothenburg, Sweden
Abstract
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 translation are coordinately controlled by the cell growth rate via RNA polymerase II and ribosome abundance, but they are independently controlled by nitrogen metabolism via amino acid and nucleotide availabilities. Genes in central carbon metabolism, however, are distinctly regulated and do not respond to the cell growth rate or nitrogen metabolism as all other genes. Understanding these effects allows the confounding factors of growth rate and metabolism to be accounted for in gene expression profiling studies.
Data availability
Processed quantitative transcriptomics and proteomics data are in Supplementary Table 2 and 3. Processed intracellular amino acid concentrations are in Supplementary Table 4. Raw RNAseq data are available at ArrayExpress, accession E-MTAB-9117. The mass spectrometry proteomics data are deposited to the Proteome Xchange Consortium via the PRIDE partner repository with dataset identifier PXD021218.
Article and author information
Author details
Funding
Novo Nordisk Fonden (NNF10CC1016517)
- Rosemary Yu
- Jens Nielsen
Knut och Alice Wallenbergs Stiftelse
- Rosemary Yu
- Jens Nielsen
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2021, Yu et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Quantifying absolute gene expression profiles reveals distinct regulation of central carbon metabolism genes in yeast
eLife 10:e65722.
https://doi.org/10.7554/eLife.65722
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