Harnessing natural sequence variation to dissect posttranscriptional regulatory networks in yeast.

ABSTRACT: Understanding how genomic variation influences phenotypic variation through the molecular networks of the cell is one of the central challenges of biology. Transcriptional regulation has received much attention, but equally important is the posttranscriptional regulation of mRNA stability. Here we applied a systems genetics approach to dissect posttranscriptional regulatory networks in the budding yeast Saccharomyces cerevisiae. Quantitative sequence-to-affinity models were built from high-throughput in vivo RNA binding protein (RBP) binding data for 15 yeast RBPs. Integration of these models with genome-wide mRNA expression data allowed us to estimate protein-level RBP regulatory activity for individual segregants from a genetic cross between two yeast strains. Treating these activities a

SUBMITTER: Fazlollahi M 

PROVIDER: S-EPMC4132183 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature