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|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.|
|Electronic Publication Date:||17-Oct-2011|
|Citation:||Kanodia, JS, Kim, Y, Tomer, R, Khan, Z, Chung, K, Storey, JD, Lu, H, Keller, PJ, Shvartsman, SY. (2011). A computational statistics approach for estimating the spatial range of morphogen gradients. Development, 138 (22), 4867 - 4874. doi:10.1242/dev.071571|
|Pages:||4867 - 4874|
|Type of Material:||Journal Article|
|Version:||Final published version. Article is made available in OAR by the publisher's permission or policy.|
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