Self-construction in the context of cortical growth
Self-construction in the context of cortical growth
复制标题
皮质生长背景下的自我构建
DOI：
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Andreas Hauri
中科院分区：
文献类型：
--
作者：
Andreas Hauri
在这篇论文中，我们探讨了新皮层的生物学发展作为一个模型的自我构建系统。发育始于单个细胞，并通过细胞分裂和特化来扩展该细胞，以创建由数万亿（人类）细胞组成的复杂有机体。我们将考虑这个过程的分支，它通向新皮层，从脑室区的前体和神经节隆起开始。在生物学中，用于构建靶生物体的指令被编码在其DNA代码中，并且这些指令由基因调控网络根据主要的细胞内和细胞外条件选择性地解码。我们用一个模型来近似这个复杂的过程，这个模型包含了生物自我构建的基本要素，但又足够容易模拟。由于我们的最终目标是将生物构建作为一种实用的工程技术，因此我们选择了一种强调3D空间环境中物理过程的模拟风格。而且，由于生物发展的引人注目的特点是，它是分布式的，没有一个全球性的控制器，我们的模型强调自我建设的结果，本地相互作用的分布式自治代理。该模型使用专门的软件平台Cx 3Dp进行模拟，该平台能够模拟数百万个细胞的物理发育。这些细胞的生物学行为由G-Code控制，这是一种类似DNA的规范语言，能够模拟自然界中观察到的细胞行为。通过应用Pfister等人[146]的方法获得插入胚胎心室区皮质前体细胞的G代码“基因组”的组织，通过该方法，稀疏的实验数据用于估计能够表达控制小鼠皮质发生的基因调控网络（GRN）的模型基因组。皮质谱系树的各种细胞类型是GRN的吸引子状态的表达。各种状态释放G代码编码的细胞功能，导致细胞分裂，迁移和分化。使用这些概念和方法，我们能够模拟一张新皮层的自我构建，这张新皮层由两个区域组成，包含大约20万个神经元。模拟概括了大多数实验观察到的功能，这个过程中，包括详细的层间和层内轴突连接模式。该仿真平台是并行化的，其性能与仿真规模具有良好的可伸缩性，
In this thesis we explore the biological development of the neocortex as a model for selfconstructing systems. Development begins with a single cell, and expands that cell through cell division and specialization to create a complex organism consisting of trillions (in humans) of cells. We will consider the branch of this process that leads to the neocortex, beginning with precursors in the ventricular zone, and the ganglionic eminences. In biology the instructions for construction of a target organism are encoded in its DNA-code, and these instructions are selectively decoded by a gene regulatory network according to prevailing intra-cellular and extracellular conditions. We approximate this elaborate process with a model that contains the essential elements of biological self-construction, but is sufficiently tractable to be simulated. Because our final goal is to exploit biological construction as a practical engineering technology, we choose a style of simulation that emphasizes physical process in a 3D spatial environment. And, because the compelling feature of biological development is that it is distributed and proceeds without a global controller, our model emphasizes self-construction as the result of locally interacting distributed autonomous agents. The model is simulated using a specialized software platform, Cx3Dp, that is able to simulate the physical development of millions of cells. The biological behavior of these cells is controlled by G-Code, a DNA-like specification language that is able to model cellular behavior as observed in nature. The organization of the G-Code ‘genome’ that is inserted into the cortical precursor cells of the embryonic ventricular zone is obtained by applying the methods of Pfister et al. [146], by which sparse experimental data are used to estimate a model genome able to express a gene-regulatory network (GRN) that controls mouse corticogenesis. The various cell types of the cortical lineage tree are expressions of the attractor states of the GRN. The various states release G-Code encoded cellular functions that cause the cells to divide, migrate, and differentiate. Using these concepts and methods we are able to simulate the self-construction of a sheet of neocortex composed of two areas containing some 200,000 neurons. The simulation recapitulates the majority of experimentally observed features of this process, including the detailed interand intra-laminar axonal connection patterns. The simulation platform is parallelized, and its performance scales well with simulation size, so that
影响因子：
13.9
作者：
Kriegstein A;Alvarez-Buylla A
通讯作者：
Alvarez-Buylla A
DOI：
10.1073/pnas.0408031102
发表时间：
2005-04-05
影响因子：
11.1
作者：
Levine, M;Davidson, EH
通讯作者：
Davidson, EH
近分泌细胞间信号传导：另一种方法。
DOI：
10.1165/ajrcmb/9.6.573
发表时间：
1993
影响因子：
6.4
作者：
Zimmerman,GA;Lorant,DE;McIntyre,TM;Prescott,SM
通讯作者：
Prescott,SM