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

Jitendra S. Kanodia; Yoosik Kim; Raju Tomer; Zia Khan; Kwanghun Chung; John D. Storey; Hang Lu; Philipp J. Keller; Stanislav Yefimovic Shvartsman

doi:10.1242/dev.071571

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

Jitendra S. Kanodia, Yoosik Kim, Raju Tomer, Zia Khan, Kwanghun Chung, John D. Storey, Hang Lu, Philipp J. Keller, Stanislav Yefimovic Shvartsman

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

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.

Original language	English (US)
Pages (from-to)	4867-4874
Number of pages	8
Journal	Development
Volume	138
Issue number	22
DOIs	https://doi.org/10.1242/dev.071571
State	Published - Nov 15 2011

All Science Journal Classification (ASJC) codes

Molecular Biology
Developmental Biology

Keywords

Computational biology
Confidence interval
Dorsal gradient
Drosophila embryo
Morphogen gradient
Statistics

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10.1242/dev.071571

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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.",

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AU - Kanodia, Jitendra S.

AU - Kim, Yoosik

AU - Tomer, Raju

AU - Khan, Zia

AU - Chung, Kwanghun

AU - Storey, John D.

AU - Lu, Hang

AU - Keller, Philipp J.

AU - Shvartsman, Stanislav Yefimovic

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AB - 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.

KW - Computational biology

KW - Confidence interval

KW - Dorsal gradient

KW - Drosophila embryo

KW - Morphogen gradient

KW - Statistics

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

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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