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 Video

Updated: Jun 4, 2026

Rapid Identification of Chemical Genetic Interactions in Saccharomyces cerevisiae
12:13

Rapid Identification of Chemical Genetic Interactions in Saccharomyces cerevisiae

Published on: April 5, 2015

Microarray-based target identification using drug hypersensitive fission yeast expressing ORFeome.

Yuko Arita1, Shinichi Nishimura, Akihisa Matsuyama

  • 1Chemical Genetics Laboratory, RIKEN Advanced Science Institute, Wako, Saitama 351-0198, Japan.

Molecular Biosystems
|February 23, 2011
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

Towards the construction of a virtual yeast.

Nature·2026
Same author

The novel antifungal agent NPD2560 perturbs the Rho1-centered signaling network to induce a cell wall integrity response.

Microbiology spectrum·2026
Same author

Orobas: A computational approach for scoring and analysis of quantitative chemical-genetic interactions from CRISPR-Cas9 screens.

STAR protocols·2026
Same author

Population-scale chemical response revealed by a barcoded yeast collection.

Nature communications·2026
Same author

Global genetic interaction network of a human cell maps conserved principles and informs functional interpretation of gene co-essentiality profiles.

Cell·2026
Same author

Expanding TheCellMap.org to visualize a genome-scale genetic interaction network for a human cell line.

bioRxiv : the preprint server for biology·2026
Same journal

Imbalance in amino acid and purine metabolisms at the hypothalamus in inflammation-associated depression by GC-MS.

Molecular bioSystems·2017
Same journal

Correction: Dynamic properties of dipeptidyl peptidase III from Bacteroides thetaiotaomicron and the structural basis for its substrate specificity - a computational study.

Molecular bioSystems·2017
Same journal

Conformational heterogeneity in tails of DNA-binding proteins is augmented by proline containing repeats.

Molecular bioSystems·2017
Same journal

Mechanism of the formation of the RecA-ssDNA nucleoprotein filament structure: a coarse-grained approach.

Molecular bioSystems·2017
Same journal

Staphylococcus aureus extracellular vesicles (EVs): surface-binding antagonists of biofilm formation.

Molecular bioSystems·2017
Same journal

Development of an AlphaLISA high throughput technique to screen for small molecule inhibitors targeting protein arginine methyltransferases.

Molecular bioSystems·2017
See all related articles

Researchers developed a new microarray system to quickly identify the cellular targets of small molecules. This method uses drug-hypersensitive yeast strains to find drug targets and pathways, accelerating drug discovery.

Area of Science:

  • Molecular Biology
  • Genomics
  • Drug Discovery

Background:

  • Identifying the cellular targets of small molecules is crucial for developing new drugs and biological tools.
  • Current methods for target identification can be time-consuming and require large amounts of compound.
  • A need exists for efficient, genome-wide screening methods for small molecule target identification.

Purpose of the Study:

  • To develop and validate a novel microarray-based system for the high-throughput identification of small molecule targets and pathways.
  • To demonstrate the utility of this system using etoposide as a model compound.
  • To accelerate the process of target identification for drug leads and biological probes.

Main Methods:

  • A microarray system was created using a collection of drug-hypersensitive fission yeast strains, each overexpressing a specific gene from the open reading frame-ome.

More Related Videos

Mating-based Overexpression Library Screening in Yeast
11:39

Mating-based Overexpression Library Screening in Yeast

Published on: July 6, 2018

Identification of Host Pathways Targeted by Bacterial Effector Proteins using Yeast Toxicity and Suppressor Screens
07:40

Identification of Host Pathways Targeted by Bacterial Effector Proteins using Yeast Toxicity and Suppressor Screens

Published on: October 25, 2019

Related Experiment Videos

Last Updated: Jun 4, 2026

Rapid Identification of Chemical Genetic Interactions in Saccharomyces cerevisiae
12:13

Rapid Identification of Chemical Genetic Interactions in Saccharomyces cerevisiae

Published on: April 5, 2015

Mating-based Overexpression Library Screening in Yeast
11:39

Mating-based Overexpression Library Screening in Yeast

Published on: July 6, 2018

Identification of Host Pathways Targeted by Bacterial Effector Proteins using Yeast Toxicity and Suppressor Screens
07:40

Identification of Host Pathways Targeted by Bacterial Effector Proteins using Yeast Toxicity and Suppressor Screens

Published on: October 25, 2019

  • This system allows for genome-wide screening of small molecule sensitivity.
  • The method requires a relatively small amount of the test compound for screening.
  • Main Results:

    • The system successfully identified 28 genes associated with etoposide sensitivity.
    • These identified genes include the known drug target, topoisomerase II, as well as other genes involved in etoposide tolerance.
    • The results demonstrate the system's capability for accurate and efficient target identification.

    Conclusions:

    • The novel microarray-based system provides an efficient and cost-effective approach for identifying small molecule targets and pathways.
    • This method accelerates the drug discovery pipeline by enabling rapid target validation.
    • The approach has the potential to uncover conserved genes with significant clinical relevance.