Title | A computational statistics approach for estimating the spatial range of morphogen gradients. |
Publication Type | Journal Article |
Year of Publication | 2011 |
Authors | Kanodia, JS, Kim, Y, Tomer, R, Khan, Z, Chung, K, Storey, JD, Lu, H, Keller, PJ, Shvartsman, SY |
Journal | Development |
Volume | 138 |
Issue | 22 |
Pagination | 4867-74 |
Date Published | 2011 Nov |
Keywords | Animals, 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 |
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. |
Alternate Journal | Development |