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

  作者 Kanodia, JS; Kim, Y; Tomer, R; Khan, Z; Chung, KH; Storey, JD; Lu, H; Keller, PJ; Shvartsman, SY  
  选自 期刊  Development;  卷期  2011年138-22;  页码  4867-4874  
  关联知识点  
 

[摘要]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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