The next 10 years will see an exponential increase in the amount of expression data available to analyze gene function. While it is now straightforward to generate the data, what is more problematic is the best way to sift through it to get useful correlations between gene expression and chemical compound activity. Rosetta Inpharmatics Inc. believes it has technology that addresses both concerns.

The company's approach is similar to using a "reporter" gene to monitor the activity of a single promoter within the cell, except that instead of a single gene, Rosetta uses transcript levels generated by the entire genome to monitor the activity of a given cell type.