TitleA computational statistics approach for estimating the spatial range of morphogen gradients.
Publication TypeJournal Article
Year of Publication2011
AuthorsKanodia, JS, Kim, Y, Tomer, R, Khan, Z, Chung, K, Storey, JD, Lu, H, Keller, PJ, Shvartsman, SY
Date Published2011 Nov
KeywordsAnimals, Biostatistics, Cleavage Stage, Ovum, Computational Biology, Computer Simulation, Drosophila, Drosophila Proteins, Embryo, Nonmammalian, Gene Expression Regulation, Developmental, Genes, Developmental, Imaging, Three-Dimensional, In Situ Hybridization, Fluorescence, Morphogenesis, Osmolar Concentration, Tissue Distribution

A crucial issue in studies of morphogen gradients relates to their range: the distance over which they can act as direct regulators of cell signaling, gene expression and cell differentiation. To address this, we present a straightforward statistical framework that can be used in multiple developmental systems. We illustrate the developed approach by providing a point estimate and confidence interval for the spatial range of the graded distribution of nuclear Dorsal, a transcription factor that controls the dorsoventral pattern of the Drosophila embryo.

Alternate JournalDevelopment