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High-Content Imaging for Large-Scale Detection of Low-Affinity Extracellular Protein Interactions
Extracellular protein interactions coordinate cellular responses with their local environment and have important roles in pathogen invasion and disease. Due to technical challenges associated with studying binding events at the cell surface, the systematic and reliable identification of novel ligand...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873222/ https://www.ncbi.nlm.nih.gov/pubmed/31578119 http://dx.doi.org/10.1177/2472555219879053 |
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author | Wood, Laura Wright, Gavin J. |
author_facet | Wood, Laura Wright, Gavin J. |
author_sort | Wood, Laura |
collection | PubMed |
description | Extracellular protein interactions coordinate cellular responses with their local environment and have important roles in pathogen invasion and disease. Due to technical challenges associated with studying binding events at the cell surface, the systematic and reliable identification of novel ligand–receptor pairs remains difficult. Here, we describe the development of a cell-based assay using large-scale transient transfections and high-content imaging (HCI) to detect extracellular binding events. We optimized the parameters for efficient transfection of human cells with cDNA plasmids encoding full-length cell surface receptors in 384-well plates. Using a range of well-characterized structurally diverse low-affinity cell surface interactions, we show that transfected cells probed with highly avid ligands can be used to successfully identify ligand–receptor pairs using an HCI platform and automated image analysis software. To establish the high-throughput potential of this approach, we also screened a pool of ligands against a collection of 2455 cell surface expression clones and found that known ligand–receptor interactions could be robustly and consistently detected across the library using this technology. |
format | Online Article Text |
id | pubmed-6873222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-68732222019-12-12 High-Content Imaging for Large-Scale Detection of Low-Affinity Extracellular Protein Interactions Wood, Laura Wright, Gavin J. SLAS Discov Original Research Extracellular protein interactions coordinate cellular responses with their local environment and have important roles in pathogen invasion and disease. Due to technical challenges associated with studying binding events at the cell surface, the systematic and reliable identification of novel ligand–receptor pairs remains difficult. Here, we describe the development of a cell-based assay using large-scale transient transfections and high-content imaging (HCI) to detect extracellular binding events. We optimized the parameters for efficient transfection of human cells with cDNA plasmids encoding full-length cell surface receptors in 384-well plates. Using a range of well-characterized structurally diverse low-affinity cell surface interactions, we show that transfected cells probed with highly avid ligands can be used to successfully identify ligand–receptor pairs using an HCI platform and automated image analysis software. To establish the high-throughput potential of this approach, we also screened a pool of ligands against a collection of 2455 cell surface expression clones and found that known ligand–receptor interactions could be robustly and consistently detected across the library using this technology. SAGE Publications 2019-10-03 2019-12 /pmc/articles/PMC6873222/ /pubmed/31578119 http://dx.doi.org/10.1177/2472555219879053 Text en © 2019 Society for Laboratory Automation and Screening http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Wood, Laura Wright, Gavin J. High-Content Imaging for Large-Scale Detection of Low-Affinity Extracellular Protein Interactions |
title | High-Content Imaging for Large-Scale Detection of Low-Affinity
Extracellular Protein Interactions |
title_full | High-Content Imaging for Large-Scale Detection of Low-Affinity
Extracellular Protein Interactions |
title_fullStr | High-Content Imaging for Large-Scale Detection of Low-Affinity
Extracellular Protein Interactions |
title_full_unstemmed | High-Content Imaging for Large-Scale Detection of Low-Affinity
Extracellular Protein Interactions |
title_short | High-Content Imaging for Large-Scale Detection of Low-Affinity
Extracellular Protein Interactions |
title_sort | high-content imaging for large-scale detection of low-affinity
extracellular protein interactions |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873222/ https://www.ncbi.nlm.nih.gov/pubmed/31578119 http://dx.doi.org/10.1177/2472555219879053 |
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