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Chemistry & Biology
Article
License: Elsevier Non-Commercial
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Chemistry & Biology
Article . 2012
License: Elsevier Non-Commercial
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Chemistry & Biology
Article . 2012 . Peer-reviewed
License: Elsevier Non-Commercial
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Analyzing Fission Yeast Multidrug Resistance Mechanisms to Develop a Genetically Tractable Model System for Chemical Biology

Authors: Kawashima, Shigehiro A.; Takemoto, Ai; Nurse, Paul; Kapoor, Tarun M.;

Analyzing Fission Yeast Multidrug Resistance Mechanisms to Develop a Genetically Tractable Model System for Chemical Biology

Abstract

Chemical inhibitors can help analyze dynamic cellular processes, particularly when probes are active in genetically tractable model systems. Although fission yeast has served as an important model system, which shares more cellular processes (e.g., RNAi) with humans than budding yeast, its use for chemical biology has been limited by its multidrug resistance (MDR) response. Using genomics and genetics approaches, we identified the key transcription factors and drug-efflux transporters responsible for fission yeast MDR and designed strains sensitive to a wide-range of chemical inhibitors, including commonly used probes. We used this strain, along with acute chemical inhibition and high-resolution imaging, to examine metaphase spindle organization in a "closed" mitosis. Together, our findings suggest that our fission yeast strains will allow the use of several inhibitors as probes, discovery of new inhibitors, and analysis of drug action.

Related Organizations
Keywords

Pharmacology, Dose-Response Relationship, Drug, Models, Genetic, Clinical Biochemistry, Genomics, Saccharomyces cerevisiae, Biochemistry, Structure-Activity Relationship, Purines, Drug Resistance, Multiple, Fungal, Drug Discovery, Genetics, Molecular Medicine, Cycloheximide, Molecular Biology

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    42
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
42
Top 10%
Top 10%
Top 10%
hybrid