TY - JOUR T1 - A computational statistics approach for estimating the spatial range of morphogen gradients. JF - Development Y1 - 2011 A1 - Kanodia, Jitendra S A1 - Kim, Yoosik A1 - Tomer, Raju A1 - Khan, Zia A1 - Chung, Kwanghun A1 - Storey, John D A1 - Lu, Hang A1 - Keller, Philipp J A1 - Shvartsman, Stanislav Y KW - Animals KW - Biostatistics KW - Cleavage Stage, Ovum KW - Computational Biology KW - Computer simulation KW - Drosophila KW - Drosophila Proteins KW - Embryo, Nonmammalian KW - Gene Expression Regulation, Developmental KW - Genes, Developmental KW - Imaging, Three-Dimensional KW - In Situ Hybridization, Fluorescence KW - Morphogenesis KW - Osmolar Concentration KW - Tissue Distribution AB -

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.

VL - 138 CP - 22 M3 - 10.1242/dev.071571 ER -