Genetic screening for signal transduction in the era of network biology.
In contrast to animal-based mutant phenotype assays, recent biochemical and quantitative genetic studies have identified hundreds of potential regulators of known signaling pathways. We discuss the discrepancy between previous models and new data, put forward a different signaling conceptual framework incorporating time-dependent quantitative contributions, and suggest how this new framework can impact our study of human disease.
Friedman
Adam
A
Department of Genetics, Howard Hughes Medical Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02175, USA.
Perrimon
Norbert
N
D000818:Animals; D019295:Computational Biology / Q000379:methods / Q000639:trends; D005786:Gene Expression Regulation / Q000235:genetics; D053263:Gene Regulatory Networks / Q000235:genetics*; D030342:Genetic Diseases, Inborn / Q000235:genetics / Q000503:physiopathology / Q000628:therapy; D005820:Genetic Testing / Q000379:methods* / Q000639:trends; D006801:Humans; D008967:Molecular Biology / Q000379:methods* / Q000639:trends; D009369:Neoplasms / Q000628:therapy; D015398:Signal Transduction / Q000235:genetics*