Massively parallel interrogation of the effects of gene expression levels on cellular fitness

ABSTRACT: Data of gene expression levels across individuals, cell types, and disease states is rapidly expanding, yet we have limited understanding of how expression levels impact cellular and organismal phenotypes. Here, we present a massively parallel system for assaying the effect of gene expression levels on cellular fitness in Saccharomyces cerevisiae by systematically altering the expression level of each of ~100 endogenous genes at ~100 distinct expression levels spanning a 500-fold range at high resolution. Our results show that the relationship between expression levels and growth is gene- and environment-specific, with the specific relationship exhibited by each gene being highly informative on its function, stoichiometry within complexes, and interaction with other genes. Notably, in one

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Leeat Keren 

PROVIDER: E-GEOD-83936 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress