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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2016
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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. |
format | Online Article Text |
id | pubmed-5030728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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