Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

From genomes to systems: the path with yeast.

Stephen G Oliver1

  • 1Faculty of Life Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK. steve.oliver@manchester.ac.uk

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|March 10, 2006
PubMed
Summary

Metabolic Control Analysis (MCA) models pathway contributions to flux and intermediate concentrations. This study applied MCA to yeast, measuring transcriptome, proteome, and metabolome changes to understand cellular systems.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Yeast at Forty.

Yeast (Chichester, England)·2026
Same author

Enhancing genome-scale metabolic models with kinetic data: resolving growth and citramalate production trade-offs in <i>Escherichia coli</i>.

Bioinformatics advances·2025
Same author

Inferring gene regulatory networks of ALS from blood transcriptome profiles.

Heliyon·2024
Same author

Minimisation of metabolic networks defines a new functional class of genes.

Nature communications·2024
Same author

pyPGCF: A Python Software for Phylogenomic Analysis, Species Demarcation, Identification of Core, and Fingerprint Proteins of Bacterial Genomes That Are Important for Plants.

Methods in molecular biology (Clifton, N.J.)·2024
Same author

Synthetic yeast chromosome XI design provides a testbed for the study of extrachromosomal circular DNA dynamics.

Cell genomics·2023

Area of Science:

  • Systems Biology
  • Metabolic Engineering
  • Biochemistry

Background:

  • Metabolic Control Analysis (MCA) provides a framework for understanding how individual components affect metabolic pathways.
  • Systems Biology requires robust methods to model complex cellular processes in eukaryotes.

Purpose of the Study:

  • To apply Metabolic Control Analysis (MCA) to Saccharomyces cerevisiae for a systems biology approach.
  • To identify key genes and proteins that control metabolic flux in yeast.
  • To develop a coarse-grained model of eukaryotic cellular systems.

Main Methods:

  • Category 1 experiments: altering flux (growth rate) and measuring impacts on transcriptome, proteome, and metabolome.
  • Category 2 experiments: utilizing competition analyses of heterozygous yeast deletion mutants to identify genes with high flux control coefficients.

Related Experiment Videos

  • Integration of flux balance analysis with genetics and metabolomics.

    • Main Results:

    • Measured the impact of flux changes on the transcriptome, proteome, and metabolome of Saccharomyces cerevisiae.
    • Identified genes encoding proteins with high flux control coefficients through competition analyses.
    • Demonstrated the utility of MCA for a top-down analysis of cellular systems.

    Conclusions:

    • MCA is a valuable tool for systems biology analysis of eukaryotic cells.
    • The identified genes can inform the construction of coarse-grained models of cellular metabolism.
    • Further detailed modeling necessitates the identification of 'natural' biological systems.