Functional analysis of 150 deletion mutants in Saccharomyces cerevisiae by a systematic approach.

In a systematic approach to the study of Saccharomyces cerevisiae genes of unknown function, 150 deletion mutants were constructed (1 double, 149 single mutants) and phenotypically analysed. Twenty percent of all genes examined were essential. The viable deletion mutants were subjected to 20 different test systems, ranging from high throughput to highly specific test systems.

Yeast cells as tools for target-oriented screening.

Information about biomolecular interaction networks is crucial for understanding cellular functions and the development of disease processes. Many diseases are known to be based on aberrations of DNA sequences encoding proteins with key functions in the cellular metabolism. Alterations in the respective proteins often lead to disturbances in biomolecular interactions caused by unbalanced stoichiometries, and thus result in alterations of molecule fluxes, cell architecture and signalling pathways.

Single-read sequence tags of a limited number of genomic DNA fragments provide an inexpensive tool for comparative genome analysis.

Single-read sequences from both ends of 415 3-kb average size genomic DNA fragments of Candida albicans were compared with the complete sequence data of Saccharomyces cerevisiae. Comparison at the protein level, translated DNA against protein sequences, revealed 138 sequence tags with clear similarity to S. cerevisiae proteins or open reading frames.

Drug-induced phenotypes provide a tool for the functional analysis of yeast genes.

The post-genome sequencing era of Saccharomyces cerevisiae is defined by the analysis of newly discovered open reading frames of unknown function. In this report, we describe a genetic method for the rapid identification and characterisation of genes involved in a given phenotype. This approach is based on the ability of overexpressed genomic DNA fragments to cure an induced phenotype in yeast.