18. INFERRING THE FLUCONAZOLE-TRANSCRIPTIONAL RESPONSE NETWORK IN YEAST
Department: Bioengineering
Faculty Advisor(s): Trey Ideker

Primary Student
Name: Paul D Kuo
Email: pdkuo @ ucsd.edu
Phone: 858-243-5763
Grad Year: 2010

Abstract
There are over 600 fungi which are pathogenic to humans. Infection leads to death in 40% of blood-stream Candida infections. Since fungi are so similar to humans (both eukaryotes), this has lead to the development of few effective drugs. What drugs do exist have been losing effectiveness due to the induction of resistance.

This project studies the transcriptional response of three yeast species to treatment by the azole drug fluconazole. Using genetic microarrays, chromatin immunoprecipitation on a chip, and other data from the literature such as protein-protein interactions, we hope to construct a network model which can elucidate both the transcriptional reaction to fluconazole treatment in addition to possible mechanisms of fluconazole resistance.

Such a network model may also be used to infer how the three yeast species have evolved differently over time.

Related Links:

  1. http://www.jacobsschool.ucsd.edu/

Related Files:

  1. re08.gif

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