Dyson Louise, Holmes Alexander, Li Ang, Kulesa Paul M
Mathematics Institute, University of Warwick, Coventry, United Kingdom, CV4 7AL.
School of Life Sciences, University of Warwick, Coventry, UK, CV4 7AL.
Genesis. 2018 Sep;56(9):e23239. doi: 10.1002/dvg.23239. Epub 2018 Aug 21.
Trunk neural crest cells follow a common ventral migratory pathway but are distributed into two distinct locations to form discrete sympathetic and dorsal root ganglia along the vertebrate axis. Although fluorescent cell labeling and time-lapse studies have recorded complex trunk neural crest cell migratory behaviors, the signals that underlie this dynamic patterning remain unclear. The absence of molecular information has led to a number of mechanistic hypotheses for trunk neural crest cell migration. Here, we review recent data in support of three distinct mechanisms of trunk neural crest cell migration and develop and simulate a computational model based on chemotactic signaling. We show that by integrating the timing and spatial location of multiple chemotactic signals, trunk neural crest cells may be accurately positioned into two distinct targets that correspond to the sympathetic and dorsal root ganglia. In doing so, we honor the contributions of Wilhelm His to his identification of the neural crest and extend the observations of His and others to better understand a complex question in neural crest cell biology.
躯干神经嵴细胞遵循一条共同的腹侧迁移途径，但分布于两个不同的位置，沿着脊椎动物的轴形成离散的交感神经节和背根神经节。尽管荧光细胞标记和延时研究记录了复杂的躯干神经嵴细胞迁移行为，但这种动态模式形成背后的信号仍不清楚。分子信息的缺乏导致了许多关于躯干神经嵴细胞迁移的机制假说。在这里，我们回顾了支持躯干神经嵴细胞迁移三种不同机制的最新数据，并基于趋化信号开发和模拟了一个计算模型。我们表明，通过整合多种趋化信号的时间和空间位置，躯干神经嵴细胞可以被精确地定位到两个不同的目标，分别对应交感神经节和背根神经节。在此过程中，我们尊重威廉·希斯对神经嵴识别的贡献，并扩展了希斯等人的观察结果，以更好地理解神经嵴细胞生物学中的一个复杂问题。
