Advances in zebrafish chemical screening technologies.
Advances in zebrafish chemical screening technologies.
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DOI：
10.4155/fmc.12.115
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发表时间：
2012-09
影响因子：
4.2
通讯作者：
Mumm JS
中科院分区：
文献类型：
--
作者：
Mathias JR;Saxena MT;Mumm JS
由于几个固有的优势，斑马鱼被用于日益复杂的筛选中，以直接评估化学化合物对活脊椎动物的生理影响。多样化的筛选平台展示了这些优势。形态学测定涵盖基本定性观察到自动成像、操作和数据处理系统，提供整个生物体到亚细胞水平的细节。行为筛选将化学筛选扩展到复杂系统的水平。此外，基于斑马鱼的疾病模型提供了一种识别新的潜在治疗策略的方法。近年来，用于处理/分类、高分辨率成像和定量数据收集的自动化系统显着提高了吞吐量。这些进步将使从给定样本中捕获多个信息流变得更容易，并促进斑马鱼在药物发现过程的最早阶段的整合，为当前药物开发瓶颈提供潜在的解决方案。在这里，我们概述了斑马鱼化学筛选不断发展的领域所取得的进展。
Due to several inherent advantages, zebrafish are being utilized in increasingly sophisticated screens to assess the physiological effects of chemical compounds directly in living vertebrate organisms. Diverse screening platforms showcase these advantages. Morphological assays encompassing basic qualitative observations to automated imaging, manipulation, and data-processing systems provide whole organism to subcellular levels of detail. Behavioral screens extend chemical screening to the level of complex systems. In addition, zebrafish-based disease models provide a means of identifying new potential therapeutic strategies. Automated systems for handling/sorting, high-resolution imaging and quantitative data collection have significantly increased throughput in recent years. These advances will make it easier to capture multiple streams of information from a given sample and facilitate integration of zebrafish at the earliest stages of the drug-discovery process, providing potential solutions to current drug-development bottlenecks. Here we outline advances that have been made within the growing field of zebrafish chemical screening.
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影响因子：
6.1
作者：
Farrell, Thomas C.;Cario, Clinton L.;Milanese, Chiara;Vogt, Andreas;Jeong, Jong-Hyeon;Burton, Edward A.
通讯作者：
Burton, Edward A.
影响因子：
14.8
作者：
Blackburn, Jessica S.;Liu, Sali;Raimondi, Aubrey R.;Ignatius, Myron S.;Salthouse, Christopher D.;Langenau, David M.
通讯作者：
Langenau, David M.
影响因子：
14.8
作者：
Burns, CG;Milan, DJ;Fishman, MC
通讯作者：
Fishman, MC
影响因子：
6.1
作者：
Chang TY;Pardo-Martin C;Allalou A;Wählby C;Yanik MF
通讯作者：
Yanik MF
自动化的全动物生物成像分析用于人类癌症传播。
影响因子：
3.7
作者：
Ghotra VP;He S;de Bont H;van der Ent W;Spaink HP;van de Water B;Snaar-Jagalska BE;Danen EH
通讯作者：
Danen EH