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

Functional genomics: lessons from yeast.

Stephen G Oliver1

  • 1School of Biological Sciences, University of Manchester, 2.205 Stopford Building, Oxford Road, Manchester M13 9PT, UK. steve.oliver@man.ac.uk

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|February 13, 2002
PubMed
Summary
This summary is machine-generated.

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
Same journal

The microlandscapes of tree trunks: the effect of lichen and tree-level characteristics on arthropod communities.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same journal

Centimetre-scale landscapes to assess the motion behaviour and cognition of gastropods and bivalves.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same journal

Intertidal microcosms of wave-swept rocky shores: ecological and physiological insights from a uniquely stressful environment.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same journal

Temporal and spatial variation in temperature and oxygen at the microscale: key niche axes for aquatic life.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same journal

Natural microcosms in ecology: fulfilling the promise of model systems?

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same journal

Microbe-induced galls and plant defence: metabolite crosstalk in a co-evolutionary battle.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
See all related articles

Functional genomics uses a hierarchical strategy to understand gene functions, leveraging model organisms like yeast. This approach aids in analyzing complex genomes and has implications for studying human diseases and parasitic protozoa.

Area of Science:

  • Genomics and Bioinformatics
  • Molecular Biology
  • Systems Biology

Background:

  • The advent of complete genome sequences necessitates systematic methods for gene function elucidation.
  • Functional genomics aims for an integrative understanding of cellular processes.
  • Model organisms, particularly yeast, offer valuable insights due to conserved genes, including those linked to human diseases.

Purpose of the Study:

  • To present a systematic, hierarchical approach for functional genomics analysis.
  • To discuss various methods for analyzing the Saccharomyces cerevisiae genome.
  • To explore the potential of yeast-based methods for studying protozoan gene function.

Main Methods:

  • Hierarchical strategy for gene function analysis.

Related Experiment Videos

  • Systematic functional analysis of the Saccharomyces cerevisiae genome.
  • Integration of genome, transcriptome, proteome, and metabolome data.
  • Application of genetic, biochemical, and physico-chemical techniques.

    • Main Results:

    • A systematic approach to functional genomics, emphasizing a hierarchical strategy, is proposed.
    • Various methods for analyzing yeast gene function across different biological domains are discussed.
    • The utility of yeast as a model organism for understanding gene function, including homologs of human disease genes, is highlighted.

    Conclusions:

    • A hierarchical functional genomics approach is efficient for gene function elucidation.
    • Yeast (Saccharomyces cerevisiae) serves as an excellent model for comprehensive genomic analysis.
    • Methods developed in yeast can be applied to study parasitic protozoa, potentially using yeast as a surrogate system.