Application of high content imaging technique in research on effective components of traditional Chinese medicine: a review.
10.19540/j.cnki.cjcmm.20220510.601
- Author:
Yong-Juan ZHAO
1
;
Wen GAO
1
;
Xu-Dong XING
1
;
Hua YANG
1
Author Information
1. School of Traditional Chinese Pharmacy, China Pharmaceutical University Nanjing 210009, China.
- Publication Type:Review
- Keywords:
effective components;
high content imaging;
review;
traditional Chinese medicine
- MeSH:
Drugs, Chinese Herbal/pharmacology*;
Medicine, Chinese Traditional
- From:
China Journal of Chinese Materia Medica
2022;47(16):4269-4276
- CountryChina
- Language:Chinese
-
Abstract:
High content imaging(HCI) technique that combines automatic high throughput with high-resolution cell imaging, is characterized by abundant data information, high imaging sensitivity, easy visualization and standardization, and is commonly used in the cellular(or subcellular) phenotypic analysis. Abundant phenotypic information can be obtained by using HCI in one experiment, including cellular morphology, cellular structure, and signal transduction pathways of related functions, on the basis of the maintenance of the integrity of cellular structures and functions. Multiple studies have shown that a series of dynamic spatio-temporal interactive change processes were induced by the disturbance of cells by specific factors, making cell phenotypes change accordingly, especially for the slight perturbation response of cells. Generally, the detection of one or several endpoint effect indicators is often difficult to accurately and comprehensively reflect the overall efficacy information of traditional Chinese medicine(TCM) because of its unique characteristics of multi-components and multi-targets. The application of HCI is thus helpful to discover the effective components and their action modes in the complex system of TCM. This paper reviewed the application progress in the HCI technique in the screening of active components and their regulation mechanism to provide references for further research.
