Prediction of phenotype and gene expression for combinations of mutations.
Document Type
Article
Publication Date
2007
Keywords
Alleles, Epistasis-Genetic, Gene-Expression-Regulation-Fungal, Genes-Fungal, Genetic-Heterogeneity, Genotype, Least-Squares-Analysis, Models-Genetic, Mutation, Phenotype, Saccharomyces-cerevisiae, Saccharomyces-cerevisiae-Proteins, Transcription-Factors
First Page
96
Last Page
96
JAX Source
Mol Syst Biol 2007; 3:96.
Abstract
Molecular interactions provide paths for information flows. Genetic interactions reveal active information flows and reflect their functional consequences. We integrated these complementary data types to model the transcription network controlling cell differentiation in yeast. Genetic interactions were inferred from linear decomposition of gene expression data and were used to direct the construction of a molecular interaction network mediating these genetic effects. This network included both known and novel regulatory influences, and predicted genetic interactions. For corresponding combinations of mutations, the network model predicted quantitative gene expression profiles and precise phenotypic effects. Multiple predictions were tested and verified.
Recommended Citation
Carter GW,
Prinz S,
Neou C,
Shelby JP,
Marzolf B,
Thorsson V,
Galitski T.
Prediction of phenotype and gene expression for combinations of mutations. Mol Syst Biol 2007; 3:96.