1. Cell Biology
  2. Computational and Systems Biology

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

  1. Rosemary Yu
  2. Egor Vorontsov
  3. Carina Sihlbom
  4. Jens Nielsen  Is a corresponding author
  1. Chalmers University of Technology, Sweden
  2. University of Gothenburg, Sweden
https://doi.org/10.7554/eLife.65722
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  1. Rosemary Yu
  2. Egor Vorontsov
  3. Carina Sihlbom
  4. Jens Nielsen
(2021)
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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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.

The following data sets were generated
The following previously published data sets were used

Article and author information

Author details

  1. Rosemary Yu

    Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
    Competing interests
    No competing interests declared.

  2. Egor Vorontsov

    Proteomics Core Facility, University of Gothenburg, Gothenburg, Sweden
    Competing interests
    No competing interests declared.

  3. Carina Sihlbom

    Proteomics core facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
    Competing interests
    No competing interests declared.

  4. Jens Nielsen

    Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
    For correspondence
    nielsenj@chalmers.se
    Competing interests
    Jens Nielsen, J.N. is the CEO of the BioInnovation Institute, Denmark..
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9955-6003

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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  1. Rosemary Yu
  2. Egor Vorontsov
  3. Carina Sihlbom
  4. Jens Nielsen
(2021)
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

Share this article

https://doi.org/10.7554/eLife.65722

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