Stochastic Spatio-Temporal Dynamic Model for Gene/Protein Interaction Network in Early Drosophila Development

摘要: In order to investigate the possible mechanisms for eve stripe formation of Drosophila embryo, a spatio-temporal gene/ protein interaction network model is proposed mimic dynamic behaviors synthesis, decay, mRNA diffusion, transcription regulations and autoregulation analyze interplay genes proteins at different compartments in early embryogenesis. this study, we use maximum likelihood (ML) method identify stochastic 3-D Embryo Space-Time (3-DEST) gene/protein via expression data then Akaike Information Criterion (AIC) prune network. The identified allows us not only on border stripes but also infer that are established maintained by motifs built cooperation between diffusion Literature reference with wet experiments gene mutations provides clue validating can be extended construction biological phenotypes, which depend compartments, e.g. postnatal stem/progenitor cell differentiation.