一种估算形态发生梯度空间范围的计算统计学方法。
A computational statistics approach for estimating the spatial range of morphogen gradients.
机构信息
Department of Chemical and Biological Engineering and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
出版信息
Development. 2011 Nov;138(22):4867-74. doi: 10.1242/dev.071571. Epub 2011 Oct 17.
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.
摘要
形态发生梯度研究中的一个关键问题涉及到它们的作用范围
它们可以作为细胞信号转导、基因表达和细胞分化的直接调节剂的距离。为了解决这个问题，我们提出了一个简单的统计框架，可以在多个发育系统中使用。我们通过提供核 Dorsal（一种转录因子，控制果蝇胚胎的背腹模式）的梯度分布的空间范围的点估计和置信区间来说明所开发的方法。
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