Large-scale image-based screening and profiling of cellular phenotypes

被引:45
|
作者
Bougen-Zhukov, Nicola [1 ]
Loh, Sheng Yang [1 ]
Lee, Hwee Kuan [1 ]
Loo, Lit-Hsin [1 ,2 ]
机构
[1] Agcy Sci Tech & Res, Bioinformat Inst, Singapore 138671, Singapore
[2] Natl Univ Singapore, Sch Med, Dept Pharmacol, Singapore 117600, Singapore
关键词
high-content screening; phenotypic profiling; imaging-based phenotypic screens; automated image analysis; cellular phenotypes; high-throughput microscopy; GENOME-WIDE RNAI; DRUG DISCOVERY; SUBCELLULAR LOCATION; MICROSCOPE IMAGES; CHEMICAL LIBRARY; GLOBAL ANALYSIS; VERSATILE TOOL; HUMAN-CELLS; REVEALS; LOCALIZATION;
D O I
10.1002/cyto.a.22909
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Cellular phenotypes are observable characteristics of cells resulting from the interactions of intrinsic and extrinsic chemical or biochemical factors. Image-based phenotypic screens under large numbers of basal or perturbed conditions can be used to study the influences of these factors on cellular phenotypes. Hundreds to thousands of phenotypic descriptors can also be quantified from the images of cells under each of these experimental conditions. Therefore, huge amounts of data can be generated, and the analysis of these data has become a major bottleneck in large-scale phenotypic screens. Here, we review current experimental and computational methods for large-scale image-based phenotypic screens. Our focus is on phenotypic profiling, a computational procedure for constructing quantitative and compact representations of cellular phenotypes based on the images collected in these screens. (c) 2016 International Society for Advancement of Cytometry
引用
收藏
页码:115 / 125
页数:11
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