A computational statistics approach for estimating the spatial range of morphogen gradients. Author Jitendra Kanodia, Yoosik Kim, Raju Tomer, Zia Khan, Kwanghun Chung, John Storey, Hang Lu, Philipp Keller, Stanislav Shvartsman Publication Year 2011 Type Journal Article Abstract 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. Keywords Animals, Drosophila, Drosophila Proteins, Gene Expression Regulation, Developmental, In Situ Hybridization, Fluorescence, Embryo, Nonmammalian, Genes, Developmental, Morphogenesis, Computational Biology, Computer Simulation, Tissue Distribution, Imaging, Three-Dimensional, Osmolar Concentration, Biostatistics, Cleavage Stage, Ovum Journal Development Volume 138 Issue 22 Pages 4867-74 Date Published 11/2011 Alternate Journal Development Google ScholarBibTeXEndNote X3 XML