Albert Einstein College of Medicine

To contact us:

Phone: 718-430-2839

Fax: 718-430-8565

Email: willis@aecom.yu.edu

Synthetic genetic array (SGA) analysis is a proven and powerful methodology for uncovering genes that function in the same or related pathways to a specific query gene. The systematic and automated application of this methodology to ordered arrays of yeast-gene deletions and conditional mutants is being conducted in several laboratories in order to construct a global map of gene function.

 

Genetic interaction maps are characterized by high connectivity between locally dense functional neighborhoods. This connectivity enables functional predictions based on genetic interaction data. Our laboratory is exploiting this genetic principle to investigate the diverse signaling pathways regulating transcription of ribosomal components and tRNAs.

Saccharomyces cerevisiae

(budding yeast)

Davierwala et al., (2005) The synthetic interaction spectrum of essential genes. Nat. Genet. 37, 1147-1152