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Automation of Infectious Focus Assay for Determination of Filovirus Titers and Direct Comparison to Plaque and TCID(50) Assays
Ongoing efforts to develop effective therapies against filoviruses rely, to different extents, on quantifying the amount of viable virus in samples by plaque, TCID(50), and focus assays. Unfortunately, these techniques have inherent variance, and laboratory-specific preferences make direct compariso...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826780/ https://www.ncbi.nlm.nih.gov/pubmed/33445537 http://dx.doi.org/10.3390/microorganisms9010156 |
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author | Keiser, Patrick T. Anantpadma, Manu Staples, Hilary Carrion, Ricardo Davey, Robert A. |
author_facet | Keiser, Patrick T. Anantpadma, Manu Staples, Hilary Carrion, Ricardo Davey, Robert A. |
author_sort | Keiser, Patrick T. |
collection | PubMed |
description | Ongoing efforts to develop effective therapies against filoviruses rely, to different extents, on quantifying the amount of viable virus in samples by plaque, TCID(50), and focus assays. Unfortunately, these techniques have inherent variance, and laboratory-specific preferences make direct comparison of data difficult. Additionally, human errors such as operator errors and subjective bias can further compound the differences in outcomes. To overcome these biases, we developed a computer-based automated image-processing method for a focus assay based on the open-source CellProfiler software platform, which enables high-throughput screening of many treatment samples at one time. We compared virus titers calculated using this platform to plaque and TCID(50) assays using common stocks of virus for 3 major Filovirus species, Zaire ebolavirus, Sudan ebolavirus, and Marburg marburgvirus with each assay performed by multiple operators on multiple days. We show that plaque assays give comparable findings that differ by less than 3-fold. Focus-forming unit (FFU) and TCID(50) assays differ by 10-fold or less from the plaque assays due a higher (FFU) and lower (TCID(50)) sensitivity. However, reproducibility and accuracy of each assay differs significantly with Neutral Red Agarose Overlay plaque assays and TCID(50) with the lowest reproducibility due to subjective analysis and operator error. Both crystal violet methylcellulose overlay plaque assay and focus assays perform best for accuracy and the focus assay performs best for speed and throughput. |
format | Online Article Text |
id | pubmed-7826780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78267802021-01-25 Automation of Infectious Focus Assay for Determination of Filovirus Titers and Direct Comparison to Plaque and TCID(50) Assays Keiser, Patrick T. Anantpadma, Manu Staples, Hilary Carrion, Ricardo Davey, Robert A. Microorganisms Article Ongoing efforts to develop effective therapies against filoviruses rely, to different extents, on quantifying the amount of viable virus in samples by plaque, TCID(50), and focus assays. Unfortunately, these techniques have inherent variance, and laboratory-specific preferences make direct comparison of data difficult. Additionally, human errors such as operator errors and subjective bias can further compound the differences in outcomes. To overcome these biases, we developed a computer-based automated image-processing method for a focus assay based on the open-source CellProfiler software platform, which enables high-throughput screening of many treatment samples at one time. We compared virus titers calculated using this platform to plaque and TCID(50) assays using common stocks of virus for 3 major Filovirus species, Zaire ebolavirus, Sudan ebolavirus, and Marburg marburgvirus with each assay performed by multiple operators on multiple days. We show that plaque assays give comparable findings that differ by less than 3-fold. Focus-forming unit (FFU) and TCID(50) assays differ by 10-fold or less from the plaque assays due a higher (FFU) and lower (TCID(50)) sensitivity. However, reproducibility and accuracy of each assay differs significantly with Neutral Red Agarose Overlay plaque assays and TCID(50) with the lowest reproducibility due to subjective analysis and operator error. Both crystal violet methylcellulose overlay plaque assay and focus assays perform best for accuracy and the focus assay performs best for speed and throughput. MDPI 2021-01-12 /pmc/articles/PMC7826780/ /pubmed/33445537 http://dx.doi.org/10.3390/microorganisms9010156 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Keiser, Patrick T. Anantpadma, Manu Staples, Hilary Carrion, Ricardo Davey, Robert A. Automation of Infectious Focus Assay for Determination of Filovirus Titers and Direct Comparison to Plaque and TCID(50) Assays |
title | Automation of Infectious Focus Assay for Determination of Filovirus Titers and Direct Comparison to Plaque and TCID(50) Assays |
title_full | Automation of Infectious Focus Assay for Determination of Filovirus Titers and Direct Comparison to Plaque and TCID(50) Assays |
title_fullStr | Automation of Infectious Focus Assay for Determination of Filovirus Titers and Direct Comparison to Plaque and TCID(50) Assays |
title_full_unstemmed | Automation of Infectious Focus Assay for Determination of Filovirus Titers and Direct Comparison to Plaque and TCID(50) Assays |
title_short | Automation of Infectious Focus Assay for Determination of Filovirus Titers and Direct Comparison to Plaque and TCID(50) Assays |
title_sort | automation of infectious focus assay for determination of filovirus titers and direct comparison to plaque and tcid(50) assays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826780/ https://www.ncbi.nlm.nih.gov/pubmed/33445537 http://dx.doi.org/10.3390/microorganisms9010156 |
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