Rapid behavior-based identification of neuroactive small molecules in the zebrafish.

Rapid behavior-based identification of neuroactive small molecules in the zebrafish.
复制标题

DOI:
10.1038/nchembio.307
复制
发表时间:
2010-03
影响因子:
14.8
通讯作者:
Peterson, Randall T.
Peterson, Randall T.
中科院分区:
生物学1区
文献类型:
--
作者:
Kokel, David;Bryan, Jennifer;Laggner, Christian;White, Rick;Cheung, Chung Yan J.;Mateus, Rita;Healey, David;Kim, Sonia;Werdich, Andreas A.;Haggarty, Stephen J.;MacRae, Calum A.;Shoichet, Brian;Peterson, Randall T.

文献摘要

参考文献

被引文献

相似文献

神经活性小分子是治疗精神疾病和解剖神经系统功能不可或缺的工具。然而,很难发现新的神经活性药物。在这里,我们描述了一个高通量(HT)的行为为基础的方法,在斑马鱼神经活性小分子的发现。我们使用自动筛选分析来评估数千种化合物,并发现不同类别的神经活性分子会导致不同的行为模式。这些“行为条形码”可用于快速识别新型精神药物,并预测其分子靶点。例如,我们确定新的乙酰胆碱酯酶和单胺氧化酶抑制剂使用表型比较和计算技术。通过将HT筛选技术与体内行为表型分析相结合,基于行为的化学筛选可能会加快神经活性药物发现的步伐,并为理解脊椎动物行为提供小分子工具。
Neuroactive small molecules are indispensable tools for treating mental illnesses and dissecting nervous system function. However, it has been difficult to discover novel neuroactive drugs. Here, we describe a high—throughput (HT) behavior—based approach to neuroactive small molecule discovery in the zebrafish. We use automated screening assays to evaluate thousands of chemical compounds and find that diverse classes of neuroactive molecules cause distinct patterns of behavior. These `behavioral barcodes' can be used to rapidly identify novel psychotropic chemicals and to predict their molecular targets. For example, we identify novel acetylcholinesterase and monoamine oxidase inhibitors using phenotypic comparisons and computational techniques. By combining HT screening technologies with behavioral phenotyping in vivo, behavior—based chemical screens may accelerate the pace of neuroactive drug discovery and provide small—molecule tools for understanding vertebrate behavior.
DOI: 10.1021/jm001028o
发表时间: 2000-12-14
影响因子: 7.3
作者:
Gnerre, C;Catto, M;Testa, B
通讯作者: Testa, B
DOI: 10.1021/jm800656v
发表时间: 2008-11-13
影响因子: 7.3
作者:
Santana, Lourdes;Gonzalez-Diaz, Humberto;Orallo, Francisco
通讯作者: Orallo, Francisco
DOI: 10.1371/journal.pone.0004348
发表时间: 2009
期刊: PLOS ONE
影响因子: 3.7
作者:
Foley, Jonathan E.;yeh, Jing-Ruey J.;Maeder, Morgan L.;Reyon, Deepak;Sander, Jeffry D.;Peterson, Randall T.;Joung, J. Keith
通讯作者: Joung, J. Keith
DOI: 10.1073/pnas.72.5.1782
发表时间: 1975-01-01
影响因子: 11.1
作者:
CATTERALL, WA
通讯作者: CATTERALL, WA
DOI: 10.1126/science.144320
发表时间: 1977-01-01
期刊: SCIENCE
影响因子: 56.9
作者:
AKERA, T
通讯作者: AKERA, T