| Literature DB >> 22923784 |
Eberhard Krausz1, Ronald de Hoogt, Emmanuel Gustin, Frans Cornelissen, Thierry Grand-Perret, Lut Janssen, Nele Vloemans, Dirk Wuyts, Sandy Frans, Amy Axel, Pieter Johan Peeters, Brett Hall, Miroslav Cik.
Abstract
For drug discovery, cell-based assays are becoming increasingly complex to mimic more realistically the nature of biological processes and their diversifications in diseases. Multicellular co-cultures embedded in a three-dimensional (3D) matrix have been explored in oncology to more closely approximate the physiology of the human tumor microenvironment. High-content analysis is the ideal technology to characterize these complex biological systems, although running such complex assays at higher throughput is a major endeavor. Here, we report on adapting a 3D tumor co-culture growth assay to automated microscopy, and we compare various imaging platforms (confocal vs. nonconfocal) with correlating automated image analysis solutions to identify optimal conditions and settings for future larger scaled screening campaigns. The optimized protocol has been validated in repeated runs where established anticancer drugs have been evaluated for performance in this innovative assay.Entities:
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Year: 2012 PMID: 22923784 DOI: 10.1177/1087057112456874
Source DB: PubMed Journal: J Biomol Screen ISSN: 1087-0571