Profiling of the effects of antifungal agents on yeast cells based on morphometric analysis.

@article{Gebre2015ProfilingOT,
  title={Profiling of the effects of antifungal agents on yeast cells based on morphometric analysis.},
  author={Abraham Abera Gebre and Hiroki Okada and Cholgwang Kim and Karen Sumire Kubo and Shinsuke Ohnuki and Yoshikazu Ohya},
  journal={FEMS yeast research},
  year={2015},
  volume={15 5},
  pages={
          fov040
        }
}
The incidence of fungal infection and evolution of multidrug resistance have increased the need for new antifungal agents. To gain further insight into the development of antifungal drugs, the phenotypic profiles of currently available antifungal agents of three classes-ergosterol, cell wall and nucleic acid biosynthesis inhibitors-were investigated using yeast morphology as a chemogenomic signature. The comparison of drug-induced morphological changes with the deletion of 4718 non-essential… 
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References

SHOWING 1-10 OF 94 REFERENCES

Exploring the Mode-of-Action of Bioactive Compounds by Chemical-Genetic Profiling in Yeast

Antifungal agents: mode of action in yeast cells.

In order to overcome the problems derived from the exploitation of azole drugs, macrolides and echinocandins, novel targets were explored.

Antifungal Agents: Mode of Action, Mechanisms of Resistance, and Correlation of These Mechanisms with Bacterial Resistance

The mode of action of antifungals and their mechanisms of resistance are discussed, and an attempt is made to discuss the correlation between fungal and bacterial resistance.

Genomic and genetic approaches for the identification of antifungal drug targets.

Various genomic and genetic technologies have been developed in the model yeast Saccharomyces cerevisiae, and have been successfully used to identify drug target pathways, and how they have been used to evaluate the cellular pathways affected by a variety of therapeutic drugs and inhibitors are discussed.

Mechanism of action of antifungals and combination therapy

Plant-derived antifungal agent poacic acid targets β-1,3-glucan

The discovery of poacic acid as a natural antifungal agent targeting β-1,3-glucan highlights the potential side use of products generated in the processing of renewable biomass toward biofuels as a source of valuable bioactive compounds and further clarifies the nature and mechanism of fermentation inhibitors found in lignocellulosic hydrolysates.

Candida albicans Sterol C-14 Reductase, Encoded by the ERG24 Gene, as a Potential Antifungal Target Site

Erg24 mutants were shown to be significantly less pathogenic in a mouse model system and failed to produce germ tubes upon incubation in human serum, suggesting that inhibitors of Erg24p would be effective against C. albicans.

Morphobase, an encyclopedic cell morphology database, and its use for drug target identification.

Integration of chemical-genetic and genetic interaction data links bioactive compounds to cellular target pathways

By filtering chemical-genetic profiles for the multidrug-resistant genes and then clustering the compound-specific profiles with a compendium of large-scale genetic interaction profiles, this method provides a powerful means for inferring mechanism of action.

Analysis of the biological activity of a novel 24-membered macrolide JBIR-19 in Saccharomyces cerevisiae by the morphological imaging program CalMorph.

Using a fitness assay, the genes required for robust growth in the presence of JBIR-19 were identified, and CCW12, YLR111W, and DHH1, which are also involved in abnormal bud morphology, were identified.
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