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Med Sci (Paris). 2015 Feb;31(2):187-96. doi: 10.1051/medsci/20153102016. Epub 2015 Mar 4.

[High content screening in chemical biology: overview and main challenges].

[Article in French]

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Inserm U1019, CNRS UMR8204, université de Lille-Nord de France, institut Pasteur de Lille, centre pour l'infection et l'immunité, 1, rue du professeur Calmette, 59000 Lille, France.
Institut Curie, centre de recherche, département de recherche translationnelle, 26, rue d'Ulm, 75005 Paris, France.
Université Grenoble Alpes, institut de recherches en technologies et sciences pour le vivant (iRTSV) -biologie à grande échelle (BGE), 38000 Grenoble, France - CEA, iRTSV (Institut de recherches en technologies et sciences pour le vivant) - BGE (biologie à grande échelle) - criblages de molécules bioactives (CMBA), 38000 Grenoble, France - Inserm, BGE, 38000 Grenoble, France.


The last two decades have seen the development of high content screening (HCS) methodology and its adaptation for the evaluation of small molecules as drug candidates or their use as chemical tools for research purpose. HCS was initially set-up for the understanding of the mechanism of action of compounds by testing them on cell based-assays for pharmacological and toxicological studies. Since the last decade, the use of HCS has been extended to academic research laboratories and this technology has become the starting point for numerous projects aiming at the identification of molecular targets and cellular pathways for a given disease on which novel type of drugs could act. This screening approach relies on image capture of fluorescently labeled cells therefore generating a large amount of data that must be handled by appropriate automated image analysis methods and storage instrumentation. These latter in addition to the integration and data sharing are current challenges that HCS must still tackle.

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