Large-scale Topographical Screen for Investigation of Physical Neural-Guidance Cues

被引:67
|
作者
Li, Wei [1 ,3 ]
Tang, Qing Yuan [2 ,3 ]
Jadhav, Amol D. [1 ,3 ]
Narang, Ankit [1 ,3 ]
Qian, Wei Xian [2 ,3 ,5 ]
Shi, Peng [1 ,3 ,4 ]
Pang, Stella W. [2 ,3 ]
机构
[1] City Univ Hong Kong, Dept Mech & Biomed Engn, Kowloon, Hong Kong, Peoples R China
[2] City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
[3] City Univ Hong Kong, Ctr Biosyst Neurosci & Nanotechnol, Kowloon, Hong Kong, Peoples R China
[4] City Univ Hong Kong Shenzhen, Shenzhen, Guangdong, Peoples R China
[5] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing, Jiangsu, Peoples R China
来源
SCIENTIFIC REPORTS | 2015年 / 5卷
基金
美国国家科学基金会;
关键词
SUBSTRATE INTERACTION; DIFFERENTIATION; OUTGROWTH; GROWTH; MIGRATION; NEURONS; CELLS;
D O I
10.1038/srep08644
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A combinatorial approach was used to present primary neurons with a large library of topographical features in the form of micropatterned substrate for high-throughput screening of physical neural-guidance cues that can effectively promote different aspects of neuronal development, including axon and dendritic outgrowth. Notably, the neuronal-guidance capability of specific features was automatically identified using a customized image processing software, thus significantly increasing the screening throughput with minimal subjective bias. Our results indicate that the anisotropic topographies promote axonal and in some cases dendritic extension relative to the isotropic topographies, while dendritic branching showed preference to plain substrates over the microscale features. The results from this work can be readily applied towards engineering novel biomaterials with precise surface topography that can serve as guidance conduits for neuro-regenerative applications. This novel topographical screening strategy combined with the automated processing capability can also be used for high-throughput screening of chemical or genetic regulatory factors in primary neurons.
引用
收藏
页数:8
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