Aptamer‐based high‐throughput screening model for medicinal plant drugs against SGIV

2020 ◽  
Vol 43 (11) ◽  
pp. 1479-1482 ◽  
Author(s):  
Mingzhu Liu ◽  
Hehe Xiao ◽  
Siting Wu ◽  
Qing Yu ◽  
Pengfei Li
2021 ◽  
Vol 22 (17) ◽  
pp. 9505
Author(s):  
Rui Zhang ◽  
Caili Qiao ◽  
Qiuyan Liu ◽  
Jingwen He ◽  
Yifan Lai ◽  
...  

Depression is the most frequent affective disorder and is the leading cause of disability worldwide. In order to screen antidepressants and explore molecular mechanisms, a variety of animal models were used in experiments, but there is no reliable high-throughput screening method. Zebrafish is a common model organism for mental illness such as depression. In our research, we established chronic unpredictable mild stress (CUMS) models in C57BL/6 mice and zebrafish; the similarities in behavior and pathology suggest that zebrafish can replace rodents as high-throughput screening organisms. Stress mice (ip., 1 mg/kg/d, 3 days) and zebrafish (10 mg/L, 20 min) were treated with reserpine. As a result, reserpine caused depression-like behavior in mice, which was consistent with the results of the CUMS mice model. Additionally, reserpine reduced the locomotor ability and exploratory behavior of zebrafish, which was consistent with the results of the CUMS zebrafish model. Further analysis of the metabolic differences showed that the reserpine-induced zebrafish depression model was similar to the reserpine mice model and the CUMS mice model in the tyrosine metabolism pathway. The above results showed that the reserpine-induced depression zebrafish model was similar to the CUMS model from phenotype to internal metabolic changes and can replace the CUMS model for antidepressants screening. Moreover, the results from this model were obtained in a short time, which can shorten the cycle of drug screening and achieve high-throughput screening. Therefore, we believe it is a reliable high-throughput screening model.


Molecules ◽  
2014 ◽  
Vol 19 (8) ◽  
pp. 12699-12709 ◽  
Author(s):  
Fang Xu ◽  
Hong Chen ◽  
Xuelan He ◽  
Jingyi Xu ◽  
Bingbing Xu ◽  
...  

Author(s):  
Marcela M. Fernandez-Gutierrez ◽  
◽  
Peter P. J. Roosjen ◽  
David B. H. van Zessen ◽  
Jerry M. Wells ◽  
...  

2010 ◽  
Vol 400 (2) ◽  
pp. 207-212 ◽  
Author(s):  
Yanni Xu ◽  
Juan Wang ◽  
Yi Bao ◽  
Wei Jiang ◽  
Lian Zuo ◽  
...  

2018 ◽  
Vol 11 (11) ◽  
pp. dmm035873 ◽  
Author(s):  
Sohrab N. Ali ◽  
Thamara K. Dayarathna ◽  
Aymon N. Ali ◽  
Tijani Osumah ◽  
Mohamed Ahmed ◽  
...  

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