title: Elucidating regulatory mechanisms downstream of a signaling pathway using informative experiments.
abstract: Signaling cascades are triggered by environmental stimulation and propagate the signal to regulate transcription. Systematic reconstruction of the underlying regulatory mechanisms requires pathway-targeted, informative experimental data. However, practical experimental design approaches are still in their infancy. Here, we propose a framework that iterates design of experiments and identification of regulatory relationships downstream of a given pathway. The experimental design component, called MEED, aims to minimize the amount of laboratory effort required in this process. To avoid ambiguity in the identification of regulatory relationships, the choice of experiments maximizes diversity between expression profiles of genes regulated through different mechanisms. The framework takes advantage of expert knowledge about the pathways under study, formalized in a predictive logical model. By considering model-predicted dependencies between experiments, MEED is able to suggest a whole set of experiments that can be carried out simultaneously. Our framework was applied to investigate interconnected signaling pathways in yeast. In comparison with other approaches, MEED suggested the most informative experiments for unambiguous identification of transcriptional regulation in this system.
authors: Computational Molecular Biology Department, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany. szczurek@molgen.mpg.de
authors: Ewa
authors: E
authors: Szczurek
authors: Irit
authors: I
authors: Gat-Viks
authors: Jerzy
authors: J
authors: Tiuryn
authors: Martin
authors: M
authors: Vingron
mesh_terms: D000465:Algorithms; D005656:Fungal Proteins / Q000096:biosynthesis / Q000235:genetics; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D008954:Models, Biological; D050436:Regulatory Elements, Transcriptional; D015398:Signal Transduction; D014158:Transcription, Genetic; D015003:Yeasts / Q000235:genetics / Q000378:metabolism
chemical_list: D005656:Fungal Proteins