A stochastic framework of neurogenesis underlies the assembly of neocortical cytoarchitecture
A stochastic framework of neurogenesis underlies the assembly of neocortical cytoarchitecture
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DOI：
10.7554/elife.51381
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发表时间：
2019-11-18
期刊：
影响因子：
7.7
通讯作者：
Marin, Oscar
中科院分区：
文献类型：
--
作者：
Llorca, Alfredo;Ciceri, Gabriele;Marin, Oscar
大脑皮层包含多个具有独特细胞结构模式的区域，但这种多样性出现的细胞机制尚不清楚。在这里，我们研究了发育中的小鼠新皮层中单个祖细胞的神经元输出，使用了一系列方法，共同规避了单个方法的偏差和局限性。我们的实验结果表明，祖细胞产生锥体细胞谱系，具有广泛的大小和层流结构。数学模型表明，这些结果与皮质神经发生的随机模型是相容的，其中祖细胞经历了一系列的概率决定，导致了非常异质的后代的规范。我们的发现支持皮层神经发生的机制，其灵活性将使其能够产生不同的细胞结构，表征不同的新皮层区域。
The cerebral cortex contains multiple areas with distinctive cytoarchitectonic patterns, but the cellular mechanisms underlying the emergence of this diversity remain unclear. Here, we have investigated the neuronal output of individual progenitor cells in the developing mouse neocortex using a combination of methods that together circumvent the biases and limitations of individual approaches. Our experimental results indicate that progenitor cells generate pyramidal cell lineages with a wide range of sizes and laminar configurations. Mathematical modeling indicates that these outcomes are compatible with a stochastic model of cortical neurogenesis in which progenitor cells undergo a series of probabilistic decisions that lead to the specification of very heterogeneous progenies. Our findings support a mechanism for cortical neurogenesis whose flexibility would make it capable to generate the diverse cytoarchitectures that characterize distinct neocortical areas.