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

Jitendra Kanodia | Zendy; Yoosik Kim | Zendy; Raju Tomer | Zendy; Zia Khan | Zendy; Kwanghun Chung | Zendy; John D. Storey | Zendy; Hang Lu | Zendy; Philipp Keller | Zendy; Stanislav Y. Shvartsman | Zendy

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

Author(s) -

Jitendra Kanodia,

Yoosik Kim,

Raju Tomer,

Zia Khan,

Kwanghun Chung,

John D. Storey,

Hang Lu,

Philipp Keller,

Stanislav Y. Shvartsman

Publication year - 2011

Publication title -

development

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.15

H-Index - 36

eISSN - 1477-9129

pISSN - 0950-1991

DOI - 10.1242/dev.071571

Subject(s) - morphogen , biology , transcription factor , range (aeronautics) , embryo , cell fate determination , computational biology , dorsum , developmental biology , evolutionary biology , microbiology and biotechnology , genetics , gene , anatomy , composite material , materials science

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.

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