Guidelines for Application of High-Content Screening in Traditional Chinese Medicine: Concept, Equipment, and Troubleshooting

Author:

Chen Xuechun12,Li Lu13,Zhang Mingxu4,Yang Jian5,Lyu ChunMing6,Xu Yizhou2,Yang Yang6,Wang Yi137

Affiliation:

1. Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.

2. Department of Cardiology, Hangzhou First People’s Hospital, Hangzhou 310006, China.

3. National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314100, China.

4. Molecular Devices Shanghai Corporation, Shanghai 200335, China.

5. State Key Laboratory of component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.

6. Science and Technology Experiment Center, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.

7. Engineering Research Center of Innovative Anticancer Drugs, Ministry of Education, China

Abstract

High-content screening (HCS) technology combines automated high-speed imaging hardware and single-cell quantitative analysis. It can greatly accelerate data acquisition in cellular fluorescence imaging and is a powerful research technique in traditional Chinese medicine (TCM). An increasing number of laboratories and platforms, including TCM laboratories, have begun utilizing HCS systems. However, this technology is still in its infancy in TCM research and there is a lack of sufficient experience with the associated concepts, instrument configurations, and analysis methods. To improve the understanding of HCS among researchers in the field of TCM, this paper summarizes the concept of HCS, software and hardware configuration, the overall research process, as well as common problems and related solutions of HCS in TCM research based on our team’s previous research experience, providing several research examples and an outlook on future perspectives, aiming to provide a technical guide for HCS in TCM research.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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