title: Constructing quantitative models from qualitative mutant phenotypes: preferences in selecting sensory organ precursors.
abstract: BACKGROUND
  To study biology from the systems level, mathematical models that describe the time-evolution of the system offer useful insights. Quantitative information is required for constructing such models, but such information is rarely provided.
  
  
  RESULTS
  We propose a scheme-based on random searches over a parameter space, according to criteria set by qualitative experimental observations-for inferring quantitative parameters from qualitative experimental results. We used five mutant constraints to construct genetic network models for sensory organ precursor formation in Drosophila development. Most of the models were capable of generating expression patterns for the gene Enhancer of split that were compatible with experimental observations for wild type and two Notch mutants. We further examined factors differentiating the neural fate among cells in a proneural cluster, and found two opposite driving forces that bias the choice between middle cells and the peripheral cells. Therefore, it is possible to build numerical models from mutant screening and to study mechanisms behind the complicated network.
authors.affiliation: Institute of Chemistry, Academia Sinica, 128 Section, 2 Academia Road, Nankang, Taipei 115, Taiwan.
authors.forename: Chao-Ping
authors.initials: CP
authors.lastname: Hsu
authors.forename: Pei-Hsuan
authors.initials: PH
authors.lastname: Lee
authors.forename: Ching-Wei
authors.initials: CW
authors.lastname: Chang
authors.forename: Cheng-Tsung
authors.initials: CT
authors.lastname: Lee
mesh_terms: D000818:Animals; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D004330:Drosophila; D019143:Evolution, Molecular; D005786:Gene Expression Regulation; D018507:Gene Expression Regulation, Developmental; D008954:Models, Biological; D009154:Mutation; D009474:Neurons / Q000378:metabolism; D010641:Phenotype; D012679:Sense Organs / Q000196:embryology*; D049490:Systems Biology; D013997:Time Factors