溶酶体
药物发现
粒体自噬
计算生物学
共域化
线粒体
蛋白质组学
生物
药物开发
代谢组学
自噬
细胞器
细胞生物学
生物化学
药品
生物信息学
药理学
酶
基因
细胞凋亡
作者
Qixin Chen,Xintian Shao,Zhiqi Tian,Yang Chen,Payel Mondal,Fei Liu,Fengshan Wang,Peixue Ling,Weijiang He,Kai Zhang,Zijian Guo,Jiajie Diao
出处
期刊:Nano Research
[Springer Nature]
日期:2019-03-11
卷期号:12 (5): 1009-1015
被引量:49
标识
DOI:10.1007/s12274-019-2331-x
摘要
Technology advances in genomics, proteomics, and metabolomics largely expanded the pool of potential therapeutic targets. Compared with the in vitro setting, cell-based screening assays have been playing a key role in the processes of drug discovery and development. Besides the commonly used strategies based on colorimetric and cell viability, we reason that methods that capture the dynamic cellular events will facilitate optimal hit identification with high sensitivity and specificity. Herein, we propose a live-cell screening strategy using structured illumination microscopy (SIM) combined with an automated cell colocalization analysis software, Cellprofiler™, to screen and discover drugs for mitochondria and lysosomes interaction at a nanoscale resolution in living cells. This strategy quantitatively benchmarks the mitochondria-lysosome interactions such as mitochondria and lysosomes contact (MLC) and mitophagy. The automatic quantitative analysis also resolves fine changes of the mitochondria-lysosome interaction in response to genetic and pharmacological interventions. Super-resolution live-cell imaging on the basis of quantitative analysis opens up new avenues for drug screening and development by targeting dynamic organelle interactions at the nanoscale resolution, which could facilitate optimal hit identification and potentially shorten the cycle of drug discovery.
科研通智能强力驱动
Strongly Powered by AbleSci AI