Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
Trends Pharmacol Sci. 2022 Jul;43(7):569-581. doi: 10.1016/j.tips.2022.03.014. Epub 2022 Apr 30.
3D cell cultures are being utilized for drug discovery and development. However, there are still challenges to implementing them generally in quantitative high-throughput screening (HTS) due to the complexity of the 3D architecture, the time- and labor-consuming process, and the lack of compatibility with traditional screening protocols. Therefore, there is a great need for the integration of microfabrication techniques, automation systems, and high-throughput analytical tools that reveal the pharmacological and toxicological effects of therapeutics using 3D cultures. We first review the current advances in 3D culture models and discuss their key challenges in HTS. Last, we review recent progress and breakthroughs in the automation and high-throughput imaging of 3D culture models, which can be integrated with machine-learning (ML) tools to aid quantitative HTS for drug discovery and development.
3D 细胞培养正被用于药物发现和开发。然而，由于 3D 结构的复杂性、耗时耗力的过程以及与传统筛选方案缺乏兼容性，在定量高通量筛选（HTS）中普遍实施仍然存在挑战。因此，非常需要整合微制造技术、自动化系统和高通量分析工具，这些工具可以使用 3D 培养物揭示治疗药物的药理和毒理效应。我们首先回顾了 3D 培养模型的当前进展，并讨论了它们在 HTS 中的关键挑战。最后，我们回顾了 3D 培养模型的自动化和高通量成像方面的最新进展和突破，这些进展和突破可以与机器学习（ML）工具相结合，以辅助药物发现和开发的定量 HTS。
