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

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Development. 2011 Nov;138(22):4867-74. doi: 10.1242/dev.071571
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A computational statistics approach for estimating the spatial range of morphogen gradients. Keller Lab
Kanodia JS, Kim Y, Tomer R, Khan Z, Chung K, Storey JD, Lu H, Keller PJ, Shvartsman SY
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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.

PMID: 22007136 [PubMed - indexed for MEDLINE]

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Janelia Authors

Philipp Keller
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