基因
药品
基因表达
计算生物学
噪音(视频)
生物
遗传学
计算机科学
药理学
人工智能
图像(数学)
作者
Roy D. Dar,Nina N. Hosmane,Michelle R. Arkin,Robert F. Siliciano,Leor S. Weinberger
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2014-06-06
卷期号:344 (6190): 1392-1396
被引量:228
标识
DOI:10.1126/science.1250220
摘要
Stochastic fluctuations are inherent to gene expression and can drive cell-fate specification. We used such fluctuations to modulate reactivation of HIV from latency-a quiescent state that is a major barrier to an HIV cure. By screening a diverse library of bioactive small molecules, we identified more than 80 compounds that modulated HIV gene-expression fluctuations (i.e., "noise"), without changing mean expression. These noise-modulating compounds would be neglected in conventional screens, and yet, they synergized with conventional transcriptional activators. Noise enhancers reactivated latent cells significantly better than existing best-in-class reactivation drug combinations (and with reduced off-target cytotoxicity), whereas noise suppressors stabilized latency. Noise-modulating chemicals may provide novel probes for the physiological consequences of noise and an unexplored axis for drug discovery, allowing enhanced control over diverse cell-fate decisions.
科研通智能强力驱动
Strongly Powered by AbleSci AI