School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, USA.
Interdisciplinary Bioengineering Program, Georgia Institute of Technology, USA.
Lab Chip. 2017 Jul 25;17(15):2609-2618. doi: 10.1039/c7lc00465f.
C. elegans is a useful genetic model system for investigating mechanisms involved in sensory behavior which are potentially relevant to human diseases. While utilities of advanced techniques such as microfluidics have accelerated some areas of C. elegans sensory biology such as chemosensation, studies of mechanosensation conventionally require immobilization by glue and manual delivery of stimuli, leading to low experimental throughput and high variability. Here we present a microfluidic platform that precisely and robustly delivers a wide range of mechanical stimuli and can also be used in conjunction with functional imaging and optical interrogation techniques. The platform is fully automated, thereby greatly enhancing the throughput and robustness of experiments. We show that the behavior of the well-known gentle and harsh touch neurons and their receptive fields can be recapitulated. Using calcium dynamics as a read-out, we demonstrate its ability to perform a drug screen in vivo. We envision that this system will be able to greatly accelerate the discovery of genes and molecules involved in mechanosensation and multimodal sensory behavior, as well as the discovery of therapeutics for related diseases.
秀丽隐杆线虫是研究感觉行为机制的有效遗传模式生物,这些机制可能与人类疾病有关。虽然微流控等先进技术的应用加速了秀丽隐杆线虫感觉生物学的某些领域,如化学感觉的研究,但机械感觉的研究通常需要通过胶水固定和手动施加刺激,这导致实验通量低、变异性大。在这里,我们提出了一个微流控平台,该平台可以精确和稳健地施加广泛的机械刺激,并且还可以与功能成像和光学检测技术结合使用。该平台完全自动化,从而大大提高了实验的通量和稳健性。我们表明,该平台可以再现著名的温和和强烈触摸神经元及其感受野的行为。我们还利用钙动力学作为读出信号,展示了其在体内进行药物筛选的能力。我们设想,该系统将能够极大地加速机械感觉和多模态感觉行为相关基因和分子的发现,以及相关疾病治疗方法的发现。