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J Biomol Screen ; 17(1): 108-20, 2012 Jan.
Article in English | MEDLINE | ID: mdl-22223398

ABSTRACT

The biological complexity associated with the regulation of histone demethylases makes it desirable to configure a cellular mechanistic assay format that simultaneously encompasses as many of the relevant cellular processes as possible. In this report, the authors describe the configuration of a JMJD3 high-content cellular mechanistic imaging assay that uses single-cell multiparameter measurements to accurately assess cellular viability and the enzyme-dependent demethylation of the H3K27(Me)3 mark by exogenously expressed JMJD3. This approach couples robust statistical analyses with the spatial resolving power of cellular imaging. This enables segregation of expressing and nonexpressing cells into discrete subpopulations and consequently pharmacological quantification of compounds of interest in the expressing population at varying JMJD3 expression levels. Moreover, the authors demonstrate the utility of this hit identification strategy through the successful prosecution of a medium-throughput focused campaign of an 87 500-compound file, which has enabled the identification of JMJD3 cellular-active chemotypes. This study represents the first report of a demethylase high-content imaging assay with the ability to capture a repertoire of pharmacological tools, which are likely both to inform our mechanistic understanding of how JMJD3 is modulated and, more important, to contribute to the identification of novel therapeutic modalities for this demethylase enzyme.


Subject(s)
Enzyme Inhibitors/pharmacology , High-Throughput Screening Assays , Jumonji Domain-Containing Histone Demethylases/antagonists & inhibitors , Antibody Specificity , Cell Line , Histones/immunology , Histones/metabolism , Humans , Image Processing, Computer-Assisted , Jumonji Domain-Containing Histone Demethylases/genetics , Jumonji Domain-Containing Histone Demethylases/metabolism , Lysine/metabolism , Permeability , Recombinant Proteins/genetics , Recombinant Proteins/metabolism , Reproducibility of Results , Small Molecule Libraries
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