Kanodia, J.S., Kim, Y., Tomer, R., Khan, Z., Chung, K., Storey, J.D., Lu, H., Keller, P.J., Shvartsman, S.Y. (2011). A computational statistics approach for estimating the spatial range of morphogen gradients. Development 138(22): 4867--4874.
FlyBase ID
FBrf0216509
Publication Type
Research paper
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.
