摘要翻译：
我们提出了干细胞网络及其发育动力学的一般计算理论。干细胞网络是发育控制网络的特例。我们的理论根据它们的网络结构生成了所有可能的干细胞网络的自然分类。每个干细胞网络都有独特的拓扑结构、语义和发育动力学，导致不同的表型。我们证明了由干细胞网络生成的多细胞系统的理想生长动力学具有与Pascal三角形系数有关的数学性质。阐明了其与肿瘤干细胞及其调控网络的关系。该理论为理解和研究干细胞的新研究范式奠定了基础。干细胞网络理论意味着新的产生和控制干细胞的方法将成为可能。
---
英文标题：
《Stem Cell Networks》
---
作者：
Eric Werner
---
最新提交年份：
2016
---
分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
--

---
英文摘要：
  We present a general computational theory of stem cell networks and their developmental dynamics. Stem cell networks are special cases of developmental control networks. Our theory generates a natural classification of all possible stem cell networks based on their network architecture. Each stem cell network has a unique topology and semantics and developmental dynamics that result in distinct phenotypes. We show that the ideal growth dynamics of multicellular systems generated by stem cell networks have mathematical properties related to the coefficients of Pascal's Triangle. The relationship to cancer stem cells and their control networks is indicated. The theory lays the foundation for a new research paradigm for understanding and investigating stem cells. The theory of stem cell networks implies that new methods for generating and controlling stem cells will become possible.
---
PDF链接：
https://arxiv.org/pdf/1607.04502