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Integration of Fluorescence Detection and Image-Based Automated Counting Increases Speed, Sensitivity, and Robustness of Plaque Assays

Plaque assays are used to measure the infectious titer of viral samples. These assays are multi-day and low-throughput and may be subject to analyst variability from biased or subjective manual plaque counting. Typically, on day 1, cells are adhered to plates overnight. On day 2, cells are infected...

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Autores principales: Masci, Allyson L., Menesale, Emily B., Chen, Wei-Chiang, Co, Carl, Lu, Xiaohui, Bergelson, Svetlana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717064/
https://www.ncbi.nlm.nih.gov/pubmed/31489337
http://dx.doi.org/10.1016/j.omtm.2019.07.007
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author Masci, Allyson L.
Menesale, Emily B.
Chen, Wei-Chiang
Co, Carl
Lu, Xiaohui
Bergelson, Svetlana
author_facet Masci, Allyson L.
Menesale, Emily B.
Chen, Wei-Chiang
Co, Carl
Lu, Xiaohui
Bergelson, Svetlana
author_sort Masci, Allyson L.
collection PubMed
description Plaque assays are used to measure the infectious titer of viral samples. These assays are multi-day and low-throughput and may be subject to analyst variability from biased or subjective manual plaque counting. Typically, on day 1, cells are adhered to plates overnight. On day 2, cells are infected with virus. After 3 additional days, plaques are fixed, stained with a horseradish peroxidase (HRP)-conjugated antibody and a HRP substrate, and counted by eye. Manual-based visual counting of plaques is time-consuming and laborious and may be subject to variability between analysts. Also, the assay must proceed for several days to allow the plaques to increase to sufficiently large sizes for manual identification. Here, we integrate fluorescent detection and automated plaque counting to increase the sensitivity and speed of the assay. First, we stain plaques with a fluorescent-labeled antibody. Second, we implement a plate-based cell imager to perform non-biased, non-subjective plaque counting. The integration of these two technologies decreases the assay length by 40%, from 5 days to 3 days, because plaque size, plaque signal to noise, and manual visualization are no longer limiting. This optimized plaque assay is sensitive, fast, and robust and expands the throughput and usage of this method for measuring plaque formation.
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spelling pubmed-67170642019-09-05 Integration of Fluorescence Detection and Image-Based Automated Counting Increases Speed, Sensitivity, and Robustness of Plaque Assays Masci, Allyson L. Menesale, Emily B. Chen, Wei-Chiang Co, Carl Lu, Xiaohui Bergelson, Svetlana Mol Ther Methods Clin Dev Article Plaque assays are used to measure the infectious titer of viral samples. These assays are multi-day and low-throughput and may be subject to analyst variability from biased or subjective manual plaque counting. Typically, on day 1, cells are adhered to plates overnight. On day 2, cells are infected with virus. After 3 additional days, plaques are fixed, stained with a horseradish peroxidase (HRP)-conjugated antibody and a HRP substrate, and counted by eye. Manual-based visual counting of plaques is time-consuming and laborious and may be subject to variability between analysts. Also, the assay must proceed for several days to allow the plaques to increase to sufficiently large sizes for manual identification. Here, we integrate fluorescent detection and automated plaque counting to increase the sensitivity and speed of the assay. First, we stain plaques with a fluorescent-labeled antibody. Second, we implement a plate-based cell imager to perform non-biased, non-subjective plaque counting. The integration of these two technologies decreases the assay length by 40%, from 5 days to 3 days, because plaque size, plaque signal to noise, and manual visualization are no longer limiting. This optimized plaque assay is sensitive, fast, and robust and expands the throughput and usage of this method for measuring plaque formation. American Society of Gene & Cell Therapy 2019-07-31 /pmc/articles/PMC6717064/ /pubmed/31489337 http://dx.doi.org/10.1016/j.omtm.2019.07.007 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Masci, Allyson L.
Menesale, Emily B.
Chen, Wei-Chiang
Co, Carl
Lu, Xiaohui
Bergelson, Svetlana
Integration of Fluorescence Detection and Image-Based Automated Counting Increases Speed, Sensitivity, and Robustness of Plaque Assays
title Integration of Fluorescence Detection and Image-Based Automated Counting Increases Speed, Sensitivity, and Robustness of Plaque Assays
title_full Integration of Fluorescence Detection and Image-Based Automated Counting Increases Speed, Sensitivity, and Robustness of Plaque Assays
title_fullStr Integration of Fluorescence Detection and Image-Based Automated Counting Increases Speed, Sensitivity, and Robustness of Plaque Assays
title_full_unstemmed Integration of Fluorescence Detection and Image-Based Automated Counting Increases Speed, Sensitivity, and Robustness of Plaque Assays
title_short Integration of Fluorescence Detection and Image-Based Automated Counting Increases Speed, Sensitivity, and Robustness of Plaque Assays
title_sort integration of fluorescence detection and image-based automated counting increases speed, sensitivity, and robustness of plaque assays
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717064/
https://www.ncbi.nlm.nih.gov/pubmed/31489337
http://dx.doi.org/10.1016/j.omtm.2019.07.007
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