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Self-Aligned Functionalization Approach to Order Neuronal Networks at the Single-Cell Level
Adrien Casanova1, Marie-Charline Blatche1, Cécile A Ferre2
1LAAS-CNRS , Université de Toulouse, CNRS , Toulouse 31031 , France.
Langmuir : the ACS Journal of Surfaces and Colloids
|May 15, 2018
Summary
Researchers developed a novel surface patterning method to precisely control neuron location, enabling low-density neuronal networks for single-cell activity monitoring. This technique allows for highly organized neural cultures with precise soma placement and guided axonal growth.
Area of Science:
- Neuroscience
- Biotechnology
- Materials Science
Background:
- Understanding central nervous system function requires detailed knowledge of neuronal activity at the single-cell level.
- Current methods for monitoring neuronal activity face challenges in creating spatially ordered, low-density networks with precise cell location control.
- Miniaturized sensing devices are crucial for high-resolution neuronal activity monitoring, but network organization remains a key hurdle.
Purpose of the Study:
- To develop a novel method for creating spatially ordered, low-density neuronal networks with precise control over cell location and axonal growth.
- To enable precise monitoring of neuronal network activity at the single-cell level.
- To create a scalable and compatible method for neuronal culturing on chip.
Main Methods:
- A self-aligned chemical functionalization method using repellent surfaces with patterned attractive areas was employed.
- Rat cortical neurons were cultured on these patterned surfaces for over one month.
- The method's compatibility with complementary metal-oxide-semiconductor (CMOS) technology and control over neuronal growth on nanostructures were assessed.
Main Results:
- Achieved low-density neuronal networks with high control over soma location and axonal growth, down to individual cells.
- Demonstrated over 90% network nodes settled by a soma and 100% of connecting lines occupied by neurites with high selectivity.
- Obtained networks with 75% unicellular nodes and controlled dendritic growth along aligned nanostructures with sub-micrometer precision.
Conclusions:
- The novel surface functionalization method enables the creation of highly organized, low-density neuronal networks with unprecedented control over cell placement.
- This approach facilitates precise monitoring of neuronal network activity at the single-cell level, advancing neuroscience research.
- The technique's compatibility with wafer-scale CMOS technology and microelectronics facilities opens new avenues for neural interface development.
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