A High-Content Larval Zebrafish Brain Imaging Method for Small Molecule Drug Discovery

被引:6
|
作者
Liu, Harrison [1 ,2 ]
Chen, Steven [3 ,4 ]
Huang, Kevin [5 ]
Kim, Jeffrey [5 ]
Mo, Han [5 ]
Iovine, Raffael [5 ]
Gendre, Julie [5 ]
Pascal, Pauline [5 ]
Li, Qiang [5 ]
Sun, Yaping [5 ]
Done, Zhiqiang [5 ]
Arkin, Michelle [3 ]
Guo, Su [5 ]
Huang, Bo [4 ,6 ]
机构
[1] Univ Calif San Francisco, Joint Grad Program Bioengn, Berkeley, CA USA
[2] Univ Calif Berkeley, Berkeley, CA 94720 USA
[3] Univ Calif San Francisco, Small Mol Discovery Ctr, San Francisco, CA 94143 USA
[4] Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
[5] Univ Calif San Francisco, Dept Bioengn & Therapeut Sci, San Francisco, CA 94143 USA
[6] Univ Calif San Francisco, Dept Biochem & Biophys, San Francisco, CA 94143 USA
来源
PLOS ONE | 2016年 / 11卷 / 10期
基金
美国国家科学基金会;
关键词
HIGH-THROUGHPUT; VERTEBRATE; ABLATION; BEHAVIOR; NITROREDUCTASE; PLATFORM; SCREENS;
D O I
10.1371/journal.pone.0164645
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Drug discovery in whole-organisms such as zebrafish is a promising approach for identifying biologically-relevant lead compounds. However, high content imaging of zebrafish at cellular resolution is challenging due to the difficulty in orienting larvae en masse such that the cell type of interest is in clear view. We report the development of the multi-pose imaging method, which uses 96-well round bottom plates combined with a standard liquid handler to repose the larvae within each well multiple times, such that an image in a specific orientation can be acquired. We have validated this method in a chemo-genetic zebrafish model of dopaminergic neuron degeneration. For this purpose, we have developed an analysis pipeline that identifies the larval brain in each image and then quantifies neuronal health in CellProfiler. Our method achieves a SSMD* score of 6.96 (robust Z'-factor of 0.56) and is suitable for screening libraries up to 10(5) compounds in size.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] The development of high-content screening (HCS) technology and its importance to drug discovery
    Fraietta, Ivan
    Gasparri, Fabio
    EXPERT OPINION ON DRUG DISCOVERY, 2016, 11 (05) : 501 - 514
  • [32] A high-content small molecule screen identifies novel inducers of definitive endoderm
    Korostylev, Alexander
    Mahaddalkar, Pallavi U.
    Keminer, Oliver
    Hadian, Kamyar
    Schorpp, Kenji
    Gribbon, Philip
    Lickert, Heiko
    MOLECULAR METABOLISM, 2017, 6 (07): : 640 - 650
  • [33] Cell-based high-content screening of small-molecule libraries
    Korn, Kerstin
    Krausz, Eberhard
    CURRENT OPINION IN CHEMICAL BIOLOGY, 2007, 11 (05) : 503 - 510
  • [34] Zebrafish-based small molecule discovery
    MacRae, CA
    Peterson, RT
    CHEMISTRY & BIOLOGY, 2003, 10 (10): : 901 - 908
  • [35] High-content imaging of presynaptic assembly
    Poon, Vivian Y.
    Goh, Chiatzun
    Voorhoeve, P. Mathijs
    Fivaz, Marc
    FRONTIERS IN CELLULAR NEUROSCIENCE, 2014, 8
  • [36] Artificial intelligence for high content imaging in drug discovery
    Carreras-Puigvert, Jordi
    Spjuth, Ola
    CURRENT OPINION IN STRUCTURAL BIOLOGY, 2024, 87
  • [37] High-Content Screening of Developmental Neurotoxicity in Zebrafish Embryos
    Volz, D. C.
    Vliet, S. M.
    Raftery, T. D.
    BIRTH DEFECTS RESEARCH PART A-CLINICAL AND MOLECULAR TERATOLOGY, 2016, 106 (05) : 380 - 380
  • [38] High-content phenotypic and pathway profiling to advance drug discovery in diseases of unmet need
    Hughes, Rebecca E.
    Elliott, Richard J. R.
    Dawson, John C.
    Carragher, Neil O.
    CELL CHEMICAL BIOLOGY, 2021, 28 (03): : 338 - 355
  • [39] Benchmarking of Multivariate Similarity Measures for High-Content Screening Fingerprints in Phenotypic Drug Discovery
    Reisen, Felix
    Zhang, Xian
    Gabriel, Daniela
    Selzer, Paul
    JOURNAL OF BIOMOLECULAR SCREENING, 2013, 18 (10) : 1284 - 1297
  • [40] Concise Review: A High-Content Screening Approach to Stem Cell Research and Drug Discovery
    Xia, Xiaofeng
    Wong, Stephen T.
    STEM CELLS, 2012, 30 (09) : 1800 - 1807