School of Biology and Environmental Science & Conway Institute of Biomolecular and Biomedical Research, University College Dublin (UCD), D04 N2E5, Dublin, Ireland.
Centre for Research in Medical Devices (CÚRAM), Galway, H91 W2TY, Ireland.
Small. 2019 Sep;15(37):e1902033. doi: 10.1002/smll.201902033. Epub 2019 Jul 23.
There is a high demand for advanced, image-based, automated high-content screening (HCS) approaches to facilitate phenotypic screening in 3D cell culture models. A major challenge lies in retaining the resolution of fine cellular detail but at the same time imaging multicellular structures at a large scale. In this study, a confocal microscopy-based HCS platform in optical multiwell plates that enables the quantitative morphological profiling of populations of nonuniform spheroids obtained from HT-29 human colorectal cancer cells is described. This platform is then utilized to demonstrate a quantitative dissection of the penetration of synthetic nanoparticles (NP) in multicellular 3D spheroids at multiple levels of scale. A pilot RNA interference-based screening validates this methodology and identifies a subset of RAB GTPases that regulate NP trafficking in these spheroids. This technology is suitable for high-content phenotyping in 3D cell-based screening, providing a framework for nanomedicine drug development as applied to translational oncology.
对于先进的、基于图像的、自动化的高通量筛选(HCS)方法有很高的需求,以促进 3D 细胞培养模型中的表型筛选。一个主要的挑战在于在保持精细细胞细节分辨率的同时,还能够对大规模的多细胞结构进行成像。在这项研究中,描述了一种基于共聚焦显微镜的 HCS 平台,该平台可用于对 HT-29 人结直肠癌细胞获得的非均匀球体群体进行定量形态分析。然后,该平台用于在多个尺度水平上定量剖析合成纳米颗粒(NP)在多细胞 3D 球体中的穿透情况。基于 RNA 干扰的初步筛选验证了该方法,并确定了一组 RAB GTPases,这些 GTPases 调节这些球体中的 NP 转运。这项技术适用于基于 3D 细胞的高通量表型筛选,为纳米医学药物开发提供了一个框架,可应用于转化肿瘤学。