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Home | Seminars and Symposia | Past seminars/symposia: Monday, October 24, 2005

Comparative Genomics Techniques for analyzing distantly related yeasts


Judith Berman
Depts of Genetics, Cell Biology & Development,

Monday, October 24, 2005
2:30 pm

402 Walter Library

Download slides (pdf 1.64 MB) My lab is interested in the biology of yeasts. We have worked for a long time with the premier model yeast, S. cerevisiae but now focus much of our attention on Candida albicans, a serious fungal pathogen of immunocompromised patients. We are interested in several aspects of C. albicans biology. The two major biology projects in my lab study: 1) morphogenesis and the cell cycle events that accompany it; and 2) genome stability and how gene copy number is altered during the development of drug resistance. In addition, I spend a sabbatical year with Dr. Naama Barkai and co-workers at the Weizmann Institute, analyzing the global expression patterns displayed by C. albicans and developing tools for the comparative analysis of global expression patterns between any two organisms (applied in this case to C. albicans and S. cerevisiae). The new tool we developed, the "Differential Clustering Algorithm," not only permits the comparison of groups of genes with similar or entirely different expression patterns, but most importantly, it enables the identification and easily visualization of groups of genes from the two organisms with partial or split groups of co-regulated genes. I will briefly describe this work and some of the insights it revealed. Relevant references:

  1. Ihmels, J., Bergmann, S., Gerami-Nejad, M., Yanai, I., Berman, J. and N. Barkai (2005), “Rewiring of the yeast transcriptional network through the evolution of motif usage,” Science, 309:938-40.
  2. Ihmels, J. Bergmann, S., Berman, J. and N. Barkai (2005), “The Differential Clustering for comparative gene expression analysis: application to the Candida albicans transcription program,” PloS Genetics, 1: e39;0380-0393.