The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China; Single Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China.
Talanta. 2020 Aug 1;215:120900. doi: 10.1016/j.talanta.2020.120900. Epub 2020 Mar 8.
During the past decades, few micro-devices for analysis of associative learning behavior have been reported. In this work, an agarose-PDMS hybridized micro-chip was developed to establish a new associative learning model between mechanosensation and food reward in C. elegans. The micro-chip consisted of column arrays which mimicked mechanical stimulation to C. elegans. After trained by pairing bacterial food and mechanical stimuli in the chip, the worms exhibited associative learning behavior and gathered in the regions where there was food during training. The key research findings include: (1) Associative learning behavior of C. elegans could be generated and quantitatively analyzed by this developed micro-chip. (2) Associative learning behavior could be enhanced by extending the training time and developmental stage. (3) Mechanosensation-related genes and neurotransmitters signals had effects on the learning behavior. (4) The associative learning ability could be strengthened by exogenous dopamine in both wild type and mutants. We validated that the design of the micro-chip was useful and convenient for the study of learning behavior based on mechanosensation.
在过去的几十年中,很少有用于分析联想学习行为的微设备被报道。在这项工作中,开发了一种琼脂糖 PDMS 杂交微芯片,以在秀丽隐杆线虫中建立机械感觉和食物奖励之间的新联想学习模型。微芯片由模仿机械刺激秀丽隐杆线虫的柱阵列组成。在芯片中经过细菌食物和机械刺激的配对训练后,线虫表现出联想学习行为,并聚集在训练期间有食物的区域。主要研究结果包括:(1) 通过开发的微芯片可以产生和定量分析秀丽隐杆线虫的联想学习行为。(2) 通过延长训练时间和发育阶段,可以增强联想学习行为。(3) 机械感觉相关基因和神经递质信号对学习行为有影响。(4) 外源性多巴胺可以增强野生型和突变体的联想学习能力。我们验证了微芯片的设计对于基于机械感觉的学习行为研究是有用和方便的。