Evidence map›Paper›PMID 35145105›Full record

ArticleNature communications2022

Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies.

Ibrahim E Elsemman, Angelica Rodriguez Prado, Pranas Grigaitis, Manuel Garcia Albornoz, Victoria Harman, Stephen W Holman, Johan van Heerden, Frank J Bruggeman, Mark M M Bisschops, Nikolaus Sonnenschein and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
8.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 109 citations in OpenAlex.

  1. Review
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  11. Systems biology of yeast metabolism.FEMS yeast research · 2026
    Review
  12. Review
  13. Article
  14. Review
  15. Glycolytic ATP production enables rapid mammalian cell growth.bioRxiv : the preprint server for biology · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 5 countries.

Ibrahim E Elsemman *Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK2800, Lyngby, Denmark.
Angelica Rodriguez Prado *Systems Biology Lab, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Pranas Grigaitis *Systems Biology Lab, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-6379-7024
Manuel Garcia AlbornozDivision of Evolution & Genomic Sciences, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-2300-2047
Victoria HarmanInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Stephen W HolmanInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Johan van HeerdenSystems Biology Lab, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-9708-7517
Frank J BruggemanSystems Biology Lab, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-0255-4766
Mark M M BisschopsDepartment of Industrial Microbiology, Technical University Delft, Delft, The Netherlands.ORCID http://orcid.org/0000-0003-2963-3920
Nikolaus SonnenscheinNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK2800, Lyngby, Denmark.
Simon HubbardDivision of Evolution & Genomic Sciences, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-8601-9524
Rob BeynonInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.ORCID http://orcid.org/0000-0003-0857-495X
Pascale Daran-LapujadeDepartment of Industrial Microbiology, Technical University Delft, Delft, The Netherlands.ORCID http://orcid.org/0000-0002-4097-7831
Jens NielsenNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK2800, Lyngby, Denmark. nielsenj@chalmers.se.ORCID http://orcid.org/0000-0002-9955-6003
Bas TeusinkSystems Biology Lab, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. b.teusink@vu.nl.ORCID http://orcid.org/0000-0003-3929-0423
Vrije Universiteit Amsterdam · NLNovo Nordisk Foundation · DKUniversity of Liverpool · GBDelft University of Technology · NLUniversity of Manchester · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M025748/1Biotechnology and Biological Sciences Research Council BB/M025756/1
6 · The paper itself

Abstract

When conditions change, unicellular organisms rewire their metabolism to sustain cell maintenance and cellular growth. Such rewiring may be understood as resource re-allocation under cellular constraints. Eukaryal cells contain metabolically active organelles such as mitochondria, competing for cytosolic space and resources, and the nature of the relevant cellular constraints remain to be determined for such cells. Here, we present a comprehensive metabolic model of the yeast cell, based on its full metabolic reaction network extended with protein synthesis and degradation reactions. The model predicts metabolic fluxes and corresponding protein expression by constraining compartment-specific protein pools and maximising growth rate. Comparing model predictions with quantitative experimental data suggests that under glucose limitation, a mitochondrial constraint limits growth at the onset of ethanol formation-known as the Crabtree effect. Under sugar excess, however, a constraint on total cytosolic volume dictates overflow metabolism. Our comprehensive model thus identifies condition-dependent and compartment-specific constraints that can explain metabolic strategies and protein expression profiles from growth rate optimisation, providing a framework to understand metabolic adaptation in eukaryal cells.

Indexed as

Metabolic Networks and PathwaysProteomicsFermentationGene Expression Regulation, FungalGlucoseMitochondriaProteomeSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsYeastsGlucoseProteomeSaccharomyces cerevisiae Proteins

Identifiers

PMID35145105
PMCPMC8831649
OpenAlexW4221135528

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.