ArticlePloS one2011
Self-organizing circuit assembly through spatiotemporally coordinated neuronal migration within geometric constraints.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Engineering Cortical Networks: An Open Platform for Controlled Human Circuit Formation and Synaptic Analysis In Vitro.Advanced healthcare materials · 2025Article
- Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study.Frontiers in neuroinformatics · 2022Article
- Ligand functionalization of titanium nanopattern enables the analysis of cell-ligand interactions by super-resolution microscopy.Nature protocols · 2022Review
- Small-world networks of neuroblastoma cells cultured in three-dimensional polymeric scaffolds featuring multi-scale roughness.Neural regeneration research · 2020Article
- Self-organization of modular network architecture by activity-dependent neuronal migration and outgrowth.eLife · 2019Article
- Neural Circuits on a Chip.Micromachines · 2016Review
- Emergence of assortative mixing between clusters of cultured neurons.PLoS computational biology · 2014Article
- Galvanotactic control of collective cell migration in epithelial monolayers.Nature materials · 2014Article
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Authors and funding
8 authors.
Funding
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Abstract
backgroundNeurons are dynamically coupled with each other through neurite-mediated adhesion during development. Understanding the collective behavior of neurons in circuits is important for understanding neural development. While a number of genetic and activity-dependent factors regulating neuronal migration have been discovered on single cell level, systematic study of collective neuronal migration has been lacking. Various biological systems are shown to be self-organized, and it is not known if neural circuit assembly is self-organized. Besides, many of the molecular factors take effect through spatial patterns, and coupled biological systems exhibit emergent property in response to geometric constraints. How geometric constraints of the patterns regulate neuronal migration and circuit assembly of neurons within the patterns remains unexplored. METHODOLOGY/PRINCIPAL
findingsWe established a two-dimensional model for studying collective neuronal migration of a circuit, with hippocampal neurons from embryonic rats on Matrigel-coated self-assembled monolayers (SAMs). When the neural circuit is subject to geometric constraints of a critical scale, we found that the collective behavior of neuronal migration is spatiotemporally coordinated. Neuronal somata that are evenly distributed upon adhesion tend to aggregate at the geometric center of the circuit, forming mono-clusters. Clustering formation is geometry-dependent, within a critical scale from 200 µm to approximately 500 µm. Finally, somata clustering is neuron-type specific, and glutamatergic and GABAergic neurons tend to aggregate homo-philically. CONCLUSIONS/SIGNIFICANCE: We demonstrate self-organization of neural circuits in response to geometric constraints through spatiotemporally coordinated neuronal migration, possibly via mechanical coupling. We found that such collective neuronal migration leads to somata clustering, and mono-cluster appears when the geometric constraints fall within a critical scale. The discovery of geometry-dependent collective neuronal migration and the formation of somata clustering in vitro shed light on neural development in vivo.
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