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Development of a 3D Tissue Culture–Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases

3D tissue cultures provide a more physiologically relevant context for the screening of compounds, compared with 2D cell cultures. Cells cultured in 3D hydrogels also show complex phenotypes, increasing the scope for phenotypic profiling. Here we describe a high-content screening platform that uses...

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Autores principales: Booij, Tijmen H., Klop, Maarten J. D., Yan, Kuan, Szántai-Kis, Csaba, Szokol, Balint, Orfi, Laszlo, van de Water, Bob, Keri, Gyorgy, Price, Leo S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030728/
https://www.ncbi.nlm.nih.gov/pubmed/27412535
http://dx.doi.org/10.1177/1087057116657269
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author Booij, Tijmen H.
Klop, Maarten J. D.
Yan, Kuan
Szántai-Kis, Csaba
Szokol, Balint
Orfi, Laszlo
van de Water, Bob
Keri, Gyorgy
Price, Leo S.
author_facet Booij, Tijmen H.
Klop, Maarten J. D.
Yan, Kuan
Szántai-Kis, Csaba
Szokol, Balint
Orfi, Laszlo
van de Water, Bob
Keri, Gyorgy
Price, Leo S.
author_sort Booij, Tijmen H.
collection PubMed
description 3D tissue cultures provide a more physiologically relevant context for the screening of compounds, compared with 2D cell cultures. Cells cultured in 3D hydrogels also show complex phenotypes, increasing the scope for phenotypic profiling. Here we describe a high-content screening platform that uses invasive human prostate cancer cells cultured in 3D in standard 384-well assay plates to study the activity of potential therapeutic small molecules and antibody biologics. Image analysis tools were developed to process 3D image data to measure over 800 phenotypic parameters. Multiparametric analysis was used to evaluate the effect of compounds on tissue morphology. We applied this screening platform to measure the activity and selectivity of inhibitors of the c-Met and epidermal growth factor (EGF) receptor (EGFR) tyrosine kinases in 3D cultured prostate carcinoma cells. c-Met and EGFR activity was quantified based on the phenotypic profiles induced by their respective ligands, hepatocyte growth factor and EGF. The screening method was applied to a novel collection of 80 putative inhibitors of c-Met and EGFR. Compounds were identified that induced phenotypic profiles indicative of selective inhibition of c-Met, EGFR, or bispecific inhibition of both targets. In conclusion, we describe a fully scalable high-content screening platform that uses phenotypic profiling to discriminate selective and nonselective (off-target) inhibitors in a physiologically relevant 3D cell culture setting.
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spelling pubmed-50307282016-09-30 Development of a 3D Tissue Culture–Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases Booij, Tijmen H. Klop, Maarten J. D. Yan, Kuan Szántai-Kis, Csaba Szokol, Balint Orfi, Laszlo van de Water, Bob Keri, Gyorgy Price, Leo S. SLAS Discov Special Collection 3D tissue cultures provide a more physiologically relevant context for the screening of compounds, compared with 2D cell cultures. Cells cultured in 3D hydrogels also show complex phenotypes, increasing the scope for phenotypic profiling. Here we describe a high-content screening platform that uses invasive human prostate cancer cells cultured in 3D in standard 384-well assay plates to study the activity of potential therapeutic small molecules and antibody biologics. Image analysis tools were developed to process 3D image data to measure over 800 phenotypic parameters. Multiparametric analysis was used to evaluate the effect of compounds on tissue morphology. We applied this screening platform to measure the activity and selectivity of inhibitors of the c-Met and epidermal growth factor (EGF) receptor (EGFR) tyrosine kinases in 3D cultured prostate carcinoma cells. c-Met and EGFR activity was quantified based on the phenotypic profiles induced by their respective ligands, hepatocyte growth factor and EGF. The screening method was applied to a novel collection of 80 putative inhibitors of c-Met and EGFR. Compounds were identified that induced phenotypic profiles indicative of selective inhibition of c-Met, EGFR, or bispecific inhibition of both targets. In conclusion, we describe a fully scalable high-content screening platform that uses phenotypic profiling to discriminate selective and nonselective (off-target) inhibitors in a physiologically relevant 3D cell culture setting. SAGE Publications 2016-07-07 2016-10 /pmc/articles/PMC5030728/ /pubmed/27412535 http://dx.doi.org/10.1177/1087057116657269 Text en © 2016 Society for Laboratory Automation and Screening http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Special Collection
Booij, Tijmen H.
Klop, Maarten J. D.
Yan, Kuan
Szántai-Kis, Csaba
Szokol, Balint
Orfi, Laszlo
van de Water, Bob
Keri, Gyorgy
Price, Leo S.
Development of a 3D Tissue Culture–Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases
title Development of a 3D Tissue Culture–Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases
title_full Development of a 3D Tissue Culture–Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases
title_fullStr Development of a 3D Tissue Culture–Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases
title_full_unstemmed Development of a 3D Tissue Culture–Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases
title_short Development of a 3D Tissue Culture–Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases
title_sort development of a 3d tissue culture–based high-content screening platform that uses phenotypic profiling to discriminate selective inhibitors of receptor tyrosine kinases
topic Special Collection
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030728/
https://www.ncbi.nlm.nih.gov/pubmed/27412535
http://dx.doi.org/10.1177/1087057116657269
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