Rudin-Bitterli Tabitha S, Tills Oliver, Spicer John I, Culverhouse Phil F, Wielhouwer Eric M, Richardson Michael K, Rundle Simon D
Marine Biology and Ecology Research Centre, School of Marine Science and Engineering, University of Plymouth, Drake Circus, Plymouth, United Kingdom.
Centre for Robotics and Neural Systems, School of Computing and Mathematics, University of Plymouth, Drake Circus, Plymouth, United Kingdom.
PLoS One. 2014 Dec 2;9(12):e113235. doi: 10.1371/journal.pone.0113235. eCollection 2014.
Small, early life stages, such as zebrafish embryos are increasingly used to assess the biological effects of chemical compounds in vivo. However, behavioural screens of such organisms are challenging in terms of both data collection (culture techniques, drug delivery and imaging) and data evaluation (very large data sets), restricting the use of high throughput systems compared to in vitro assays. Here, we combine the use of a microfluidic flow-through culture system, or BioWell plate, with a novel motion analysis technique, (sparse optic flow - SOF) followed by spectral analysis (discrete Fourier transformation - DFT), as a first step towards automating data extraction and analysis for such screenings. Replicate zebrafish embryos housed in a BioWell plate within a custom-built imaging system were subject to a chemical exposure (1.5% ethanol). Embryo movement was videoed before (30 min), during (60 min) and after (60 min) exposure and SOF was then used to extract data on movement (angles of rotation and angular changes to the centre of mass of embryos). DFT was subsequently used to quantify the movement patterns exhibited during these periods and Multidimensional Scaling and ANOSIM were used to test for differences. Motion analysis revealed that zebrafish had significantly altered movements during both the second half of the alcohol exposure period and also the second half of the recovery period compared to their pre-treatment movements. Manual quantification of tail flicking revealed the same differences between exposure-periods as detected using the automated approach. However, the automated approach also incorporates other movements visible in the organism such as blood flow and heart beat, and has greater power to discern environmentally-driven changes in the behaviour and physiology of organisms. We suggest that combining these technologies could provide a highly efficient, high throughput assay, for assessing whole embryo responses to various drugs and chemicals.
小型的生命早期阶段,如斑马鱼胚胎,越来越多地被用于评估体内化合物的生物学效应。然而,对此类生物体进行行为筛选在数据收集(培养技术、药物递送和成像)和数据评估(非常大的数据集)方面都具有挑战性,与体外试验相比,限制了高通量系统的使用。在这里,我们将微流控流通培养系统(或生物孔板)与一种新颖的运动分析技术(稀疏光流 - SOF)相结合,随后进行频谱分析(离散傅里叶变换 - DFT),作为朝着此类筛选的数据提取和分析自动化迈出的第一步。置于定制成像系统内生物孔板中的多组斑马鱼胚胎接受化学物质暴露(1.5%乙醇)。在暴露前(30分钟)、暴露期间(60分钟)和暴露后(60分钟)对胚胎运动进行录像,然后使用SOF提取关于运动的数据(胚胎旋转角度和质心角度变化)。随后使用DFT对这些时期表现出的运动模式进行量化,并使用多维尺度分析和ANOSIM来测试差异。运动分析表明,与预处理运动相比,斑马鱼在酒精暴露期的后半段以及恢复期的后半段运动均有显著改变。手动量化甩尾显示,暴露期之间的差异与使用自动化方法检测到的相同。然而,自动化方法还纳入了生物体中可见的其他运动,如血流和心跳,并且有更大的能力辨别环境驱动的生物体行为和生理变化。我们认为,结合这些技术可以提供一种高效、高通量的检测方法,用于评估整个胚胎对各种药物和化学物质的反应。