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颅神经嵴迁移:老路新规则。

Cranial neural crest migration: new rules for an old road.

机构信息

Stowers Institute for Medical Research, Kansas City, MO 64110, USA.

出版信息

Dev Biol. 2010 Aug 15;344(2):543-54. doi: 10.1016/j.ydbio.2010.04.010. Epub 2010 Apr 23.

Abstract

The neural crest serve as an excellent model to better understand mechanisms of embryonic cell migration. Cell tracing studies have shown that cranial neural crest cells (CNCCs) emerge from the dorsal neural tube in a rostrocaudal manner and are spatially distributed along stereotypical, long distance migratory routes to precise targets in the head and branchial arches. Although the CNCC migratory pattern is a beautifully choreographed and programmed invasion, the underlying orchestration of molecular events is not well known. For example, it is still unclear how single CNCCs react to signals that direct their choice of direction and how groups of CNCCs coordinate their interactions to arrive at a target in an ordered manner. In this review, we discuss recent cellular and molecular discoveries of the CNCC migratory pattern. We focus on events from the time when CNCCs encounter the tissue adjacent to the neural tube and their travel through different microenvironments and into the branchial arches. We describe the patterning of discrete cell migratory streams that emerge from the hindbrain, rhombomere (r) segments r1-r7, and the signals that coordinate directed migration. We propose a model that attempts to unify many complex events that establish the CNCC migratory pattern, and based on this model we integrate information between cranial and trunk neural crest development.

摘要

神经嵴是一个很好的模型,可以帮助我们更好地理解胚胎细胞迁移的机制。细胞追踪研究表明,颅神经嵴细胞(CNCCs)从背侧神经管以头尾的方式出现,并沿特定的、长距离的迁移路径分布到头部和鳃弓的精确靶标。尽管 CNCC 的迁移模式是一种精心编排和编程的入侵,但分子事件的潜在协调机制尚不清楚。例如,单个 CNCC 如何对指导其方向选择的信号做出反应,以及 CNCC 群体如何协调它们的相互作用以有序地到达靶标,这些仍然不清楚。在这篇综述中,我们讨论了 CNCC 迁移模式的最新细胞和分子发现。我们重点介绍了 CNCC 遇到神经管相邻组织时以及它们通过不同的微环境进入鳃弓的时间的事件。我们描述了从后脑、菱脑节(r)节 r1-r7 中出现的离散细胞迁移流的模式,以及协调定向迁移的信号。我们提出了一个试图统一许多建立 CNCC 迁移模式的复杂事件的模型,并基于该模型整合了颅神经嵴和躯干神经嵴发育之间的信息。

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