HCS has various applications that can be largely separated into three groups: drug discovery, toxicology, and functional genomics. The data from the analyzed image is then formatted and organized for ranking, clustering, statistics, and machine learning. The data from fluorescent microscopy is acquired from various fluorescent peaks of absorption and emission and their quantitative analysis. ![]() These are labeled with fluorescent labels to study specific live parameters such as viability or proliferation.Īfterward, cells are fixed and stained by immunocytochemistry or fluorescent probes to study the expression or localization of proteins of interest. The methodological steps include initially incubating cells with an in-vitro-based assay or molecule from a library. High-content screening is an extremely powerful tool that combines automated multicolor fluorescence imaging and high-throughput quantitative data analysis. It enables us to study the whole cell and the resultant effects of the molecule being studied on the entirety of the cell and not just the target molecules. High Content Screening (HCS) is a phenotypic screening tool that identifies molecules or peptides that alter the phenotype of a cell to a preferable form. ![]() Thus, most drug discovery approaches were target-based screening, and molecules were tested on specific molecular targets to find a drug that induces/inhibits it.ĭrug discovery methodology has since evolved to include phenotypic screening methods that differ from target-based screening as it studies not the interaction between two molecules but the final cell phenotype. By Storay Amiri, MPharm Reviewed by Emily Henderson, B.Sc.ĭrug discovery processes were initially based on the ideology that genetic mutation or dysfunction is responsible for a disease.
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