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The Company of Biologists, Development, 22(138), p. 4867-4874, 2011

DOI: 10.1242/dev.071571

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A computational statistics approach for estimating the spatial range of morphogen gradients

Journal article published in 2011 by Jitendra S. Kanodia, Yoosik Kim, Raju Tomer, Zia Khan ORCID, Kwanghun Chung, John D. Storey, Hang Lu ORCID, Philipp J. Keller, Stanislav Y. Shvartsman
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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.