Bayesian inference of whole-organ deformation dynamics from limited space-time point data
Bayesian inference of whole-organ deformation dynamics from limited space-time point data
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DOI：
10.1016/j.jtbi.2014.04.027
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发表时间：
2014-09-21
影响因子：
2
通讯作者：
Suzuki, Takayuki
中科院分区：
文献类型：
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作者：
Morishita, Yoshihiro;Suzuki, Takayuki
为了理解器官发育和再生的形态发生机制，必须阐明微观、分子/细胞活动和器官水平组织变形动力学之间的层次关系。虽然前者已经研究了几十年，后者的物理组织变形的宏观几何信息-往往是失踪，特别是对许多脊椎动物。这主要是因为在脊椎动物器官发生期间实时记录整个组织中的详细细胞行为在技术上很困难。在这项研究中，我们开发了一种新的方法，结合快照谱系跟踪与贝叶斯统计估计构建全器官变形地图的地标数据的有限数量的时空点。使用人工生成的数据集的方法进行验证后，我们将其应用于鸡肢体发育的组织变形动力学分析。已经构建了St.23-St.24的定量组织变形图，并通过评估其预测性能证明了其精度。地图的几何分析揭示了一个空间异质体积增长模式，这是一致的表达模式的主要形态和各向异性组织变形沿着轴。因此，我们的方法使变形动力学分析在器官发生，使用实用的谱系标记技术。(C)2014作者由爱思唯尔有限公司出版。这是一个开放获取的文章下CC BY-NC-ND许可证
To understand the morphogenetic mechanisms of organ development and regeneration, it is essential to clarify the inter-hierarchical relationship between microscopic, molecular/cellular activities and organ-level tissue deformation dynamics. While the former have been studied for several decades, the latter macroscopic geometrical information about physical tissue deformation - is often missing, especially for many vertebrates. This is mainly because live recording of detailed cell behaviors in whole tissues during vertebrate organogenesis is technically difficult. In this study, we have developed a novel method that combines snapshot lineage tracing with Bayesian statistical estimation to construct whole-organ deformation maps from landmark data on limited numbers of space-time points. Following the validation of the method using artificially generated data sets, we applied it to the analysis of tissue deformation dynamics in chick limb development. A quantitative tissue deformation map for St.23-St.24 has been constructed, and its precision has been proven by evaluating its predictive performance. Geometrical analyses of the map have revealed a spatially heterogeneous volume growth pattern that is consistent with the expression pattern of a major morphogen and anisotropic tissue deformation along an axis. Thus, our method enables deformation dynamics analysis in organogenesis using practical lineage marking techniques. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license