Evidence map›Paper›PMID 17439666›Full record

ArticleJournal of biology2007

Growth control of the eukaryote cell: a systems biology study in yeast.

Juan I Castrillo, Leo A Zeef, David C Hoyle, Nianshu Zhang, Andrew Hayes, David Cj Gardner, Michael J Cornell, June Petty, Luke Hakes, Leanne Wardleworth and 15 more

Open access · goldAbstract read
In one paragraph

Article in Journal of biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed
11.5field-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

137 citing papers in PubMed, 280 citations in OpenAlex.

  1. Review
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  10. Advances inJournal of fungi (Basel, Switzerland) · 2023
    Review
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  18. Review
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77 more citing papers are in PubMed but not listed here.

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

25 authors at 2 institutions in 1 country.

Juan I Castrillo *Faculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Leo A Zeef *Faculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
David C Hoyle *Northwest Institute for Bio-Health Informatics (NIBHI), School of Medicine, Stopford Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Nianshu ZhangFaculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Andrew HayesFaculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
David Cj GardnerFaculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Michael J CornellFaculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
June PettyFaculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Luke HakesFaculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Leanne WardleworthFaculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Bharat RashFaculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Marie BrownSchool of Chemistry, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess St, Manchester M1 7DN, UK.
Warwick B DunnManchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess St, Manchester M1 7DN, UK.
David BroadhurstSchool of Chemistry, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess St, Manchester M1 7DN, UK.
Kerry O'DonoghueCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Downing Site, Cambridge CB2 1QW, UK.
Svenja S HesterCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Downing Site, Cambridge CB2 1QW, UK.
Tom Pj DunkleyCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Downing Site, Cambridge CB2 1QW, UK.
Sarah R HartSchool of Chemistry, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess St, Manchester M1 7DN, UK.
Neil SwainstonManchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess St, Manchester M1 7DN, UK.
Peter LiManchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess St, Manchester M1 7DN, UK.
Simon J GaskellSchool of Chemistry, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess St, Manchester M1 7DN, UK.
Norman W PatonSchool of Computer Science, Kilburn Building, University of Manchester, Oxford Road, Manchester M13 9PL, UK.
Kathryn S LilleyCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Downing Site, Cambridge CB2 1QW, UK.
Douglas B KellSchool of Chemistry, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess St, Manchester M1 7DN, UK.
Stephen G OliverFaculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
University of Manchester · GBUniversity of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council E19354Biotechnology and Biological Sciences Research Council MET20484Wellcome Trust
6 · The paper itself

Abstract

backgroundCell growth underlies many key cellular and developmental processes, yet a limited number of studies have been carried out on cell-growth regulation. Comprehensive studies at the transcriptional, proteomic and metabolic levels under defined controlled conditions are currently lacking.

resultsMetabolic control analysis is being exploited in a systems biology study of the eukaryotic cell. Using chemostat culture, we have measured the impact of changes in flux (growth rate) on the transcriptome, proteome, endometabolome and exometabolome of the yeast Saccharomyces cerevisiae. Each functional genomic level shows clear growth-rate-associated trends and discriminates between carbon-sufficient and carbon-limited conditions. Genes consistently and significantly upregulated with increasing growth rate are frequently essential and encode evolutionarily conserved proteins of known function that participate in many protein-protein interactions. In contrast, more unknown, and fewer essential, genes are downregulated with increasing growth rate; their protein products rarely interact with one another. A large proportion of yeast genes under positive growth-rate control share orthologs with other eukaryotes, including humans. Significantly, transcription of genes encoding components of the TOR complex (a major controller of eukaryotic cell growth) is not subject to growth-rate regulation. Moreover, integrative studies reveal the extent and importance of post-transcriptional control, patterns of control of metabolic fluxes at the level of enzyme synthesis, and the relevance of specific enzymatic reactions in the control of metabolic fluxes during cell growth.

conclusionThis work constitutes a first comprehensive systems biology study on growth-rate control in the eukaryotic cell. The results have direct implications for advanced studies on cell growth, in vivo regulation of metabolic fluxes for comprehensive metabolic engineering, and for the design of genome-scale systems biology models of the eukaryotic cell.

Indexed as

Gene Expression Regulation, FungalTranscription, GeneticCarbonCell Culture TechniquesEukaryotic CellsGene Expression ProfilingHumansProtein KinasesSaccharomyces cerevisiaeSignal TransductionSystems BiologyTOR Serine-Threonine KinasesCarbonMTOR protein, humanProtein KinasesTOR Serine-Threonine Kinases

Identifiers

PMID17439666
PMCPMC2373899
OpenAlexW2107465057

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.