Differentiating stem cells on patterned substrates for neural network formation

Chunxiong Luo; Li Liu; Xiaofang Ni; Li Wang; Shinichiro M. Nomura; Qi Ouyang; Yong Chen

doi:10.1016/j.mee.2010.12.062

Differentiating stem cells on patterned substrates for neural network formation

Chunxiong Luo, Li Liu, Xiaofang Ni, Li Wang, Shinichiro M. Nomura, Qi Ouyang, Yong Chen

ENG - Robotics

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

Both 3D topographic and 2D adhesive network patterns were used to guide the growth and differentiation of embryonic and mesenchymal stem cells towards a neurogenic lineage. In the case of topographic patterns, lattices composed of square micro-wells for single cell trapping combined with connection channels for neurite outgrowth guidance were designed, with optimal conditions being obtained with large well sizes and short channel lengths. In the case of adhesive micro-contact printed patterns, a similar network design can be applied, but the "well" size should be significantly smaller. Our results also proved the neuron-like characteristics of the induced cellular networks.

Original language	English
Pages (from-to)	1707-1710
Number of pages	4
Journal	Microelectronic Engineering
Volume	88
Issue number	8
DOIs	https://doi.org/10.1016/j.mee.2010.12.062
Publication status	Published - 2011 Aug

Keywords

Micropatterns
Neural networks
Stem cells

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10.1016/j.mee.2010.12.062

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title = "Differentiating stem cells on patterned substrates for neural network formation",

abstract = "Both 3D topographic and 2D adhesive network patterns were used to guide the growth and differentiation of embryonic and mesenchymal stem cells towards a neurogenic lineage. In the case of topographic patterns, lattices composed of square micro-wells for single cell trapping combined with connection channels for neurite outgrowth guidance were designed, with optimal conditions being obtained with large well sizes and short channel lengths. In the case of adhesive micro-contact printed patterns, a similar network design can be applied, but the {"}well{"} size should be significantly smaller. Our results also proved the neuron-like characteristics of the induced cellular networks.",

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author = "Chunxiong Luo and Li Liu and Xiaofang Ni and Li Wang and Nomura, {Shinichiro M.} and Qi Ouyang and Yong Chen",

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T1 - Differentiating stem cells on patterned substrates for neural network formation

AU - Luo, Chunxiong

AU - Liu, Li

AU - Ni, Xiaofang

AU - Wang, Li

AU - Nomura, Shinichiro M.

AU - Ouyang, Qi

AU - Chen, Yong

N1 - Funding Information: This work was supported by the Japanese Grants-in-Aid for Scientific Research No. 22710116 , the European Commission through project contract CP-FP 214566-2 (Nanoscales), and the Chinese Natural Science Foundation No. 10634010 .

PY - 2011/8

Y1 - 2011/8

N2 - Both 3D topographic and 2D adhesive network patterns were used to guide the growth and differentiation of embryonic and mesenchymal stem cells towards a neurogenic lineage. In the case of topographic patterns, lattices composed of square micro-wells for single cell trapping combined with connection channels for neurite outgrowth guidance were designed, with optimal conditions being obtained with large well sizes and short channel lengths. In the case of adhesive micro-contact printed patterns, a similar network design can be applied, but the "well" size should be significantly smaller. Our results also proved the neuron-like characteristics of the induced cellular networks.

AB - Both 3D topographic and 2D adhesive network patterns were used to guide the growth and differentiation of embryonic and mesenchymal stem cells towards a neurogenic lineage. In the case of topographic patterns, lattices composed of square micro-wells for single cell trapping combined with connection channels for neurite outgrowth guidance were designed, with optimal conditions being obtained with large well sizes and short channel lengths. In the case of adhesive micro-contact printed patterns, a similar network design can be applied, but the "well" size should be significantly smaller. Our results also proved the neuron-like characteristics of the induced cellular networks.

KW - Micropatterns

KW - Neural networks

KW - Stem cells

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JO - Microelectronic Engineering

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Differentiating stem cells on patterned substrates for neural network formation

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