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

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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.
Publisher
COMPANY OF BIOLOGISTS LTD
Issue Date
2011-11
Language
English
Article Type
Article
Keywords

DROSOPHILA-EMBRYO; PATTERN-FORMATION; DORSAL MORPHOGEN; NUCLEAR; EXPRESSION; PROTEIN; ESTABLISH; SYSTEM; GENOME; TWIST

Citation

DEVELOPMENT, v.138, no.22, pp.4867 - 4874

ISSN
0950-1991
DOI
10.1242/dev.071571
URI
http://hdl.handle.net/10203/211822
Appears in Collection
CBE-Journal Papers(저널논문)
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