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Plaque2.0—A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion
Classical plaque assay measures the propagation of infectious agents across a monolayer of cells. It is dependent on cell lysis, and limited by user-specific settings and low throughput. Here, we developed Plaque2.0, a broadly applicable, fluorescence microscopy-based high-throughput method to mine...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587671/ https://www.ncbi.nlm.nih.gov/pubmed/26413745 http://dx.doi.org/10.1371/journal.pone.0138760 |
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author | Yakimovich, Artur Andriasyan, Vardan Witte, Robert Wang, I-Hsuan Prasad, Vibhu Suomalainen, Maarit Greber, Urs F. |
author_facet | Yakimovich, Artur Andriasyan, Vardan Witte, Robert Wang, I-Hsuan Prasad, Vibhu Suomalainen, Maarit Greber, Urs F. |
author_sort | Yakimovich, Artur |
collection | PubMed |
description | Classical plaque assay measures the propagation of infectious agents across a monolayer of cells. It is dependent on cell lysis, and limited by user-specific settings and low throughput. Here, we developed Plaque2.0, a broadly applicable, fluorescence microscopy-based high-throughput method to mine patho-biological clonal cell features. Plaque2.0 is an open source framework to extract information from chemically fixed cells by immuno-histochemistry or RNA in situ hybridization, or from live cells expressing GFP transgene. Multi-parametric measurements include infection density, intensity, area, shape or location information at single plaque or population levels. Plaque2.0 distinguishes lytic and non-lytic spread of a variety of DNA and RNA viruses, including vaccinia virus, adenovirus and rhinovirus, and can be used to visualize simultaneous plaque formation from co-infecting viruses. Plaque2.0 also analyzes clonal growth of cancer cells, which is relevant for cell migration and metastatic invasion studies. Plaque2.0 is suitable to quantitatively analyze virus infections, vector properties, or cancer cell phenotypes. |
format | Online Article Text |
id | pubmed-4587671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45876712015-10-01 Plaque2.0—A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion Yakimovich, Artur Andriasyan, Vardan Witte, Robert Wang, I-Hsuan Prasad, Vibhu Suomalainen, Maarit Greber, Urs F. PLoS One Research Article Classical plaque assay measures the propagation of infectious agents across a monolayer of cells. It is dependent on cell lysis, and limited by user-specific settings and low throughput. Here, we developed Plaque2.0, a broadly applicable, fluorescence microscopy-based high-throughput method to mine patho-biological clonal cell features. Plaque2.0 is an open source framework to extract information from chemically fixed cells by immuno-histochemistry or RNA in situ hybridization, or from live cells expressing GFP transgene. Multi-parametric measurements include infection density, intensity, area, shape or location information at single plaque or population levels. Plaque2.0 distinguishes lytic and non-lytic spread of a variety of DNA and RNA viruses, including vaccinia virus, adenovirus and rhinovirus, and can be used to visualize simultaneous plaque formation from co-infecting viruses. Plaque2.0 also analyzes clonal growth of cancer cells, which is relevant for cell migration and metastatic invasion studies. Plaque2.0 is suitable to quantitatively analyze virus infections, vector properties, or cancer cell phenotypes. Public Library of Science 2015-09-28 /pmc/articles/PMC4587671/ /pubmed/26413745 http://dx.doi.org/10.1371/journal.pone.0138760 Text en © 2015 Yakimovich et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yakimovich, Artur Andriasyan, Vardan Witte, Robert Wang, I-Hsuan Prasad, Vibhu Suomalainen, Maarit Greber, Urs F. Plaque2.0—A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion |
title | Plaque2.0—A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion |
title_full | Plaque2.0—A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion |
title_fullStr | Plaque2.0—A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion |
title_full_unstemmed | Plaque2.0—A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion |
title_short | Plaque2.0—A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion |
title_sort | plaque2.0—a high-throughput analysis framework to score virus-cell transmission and clonal cell expansion |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587671/ https://www.ncbi.nlm.nih.gov/pubmed/26413745 http://dx.doi.org/10.1371/journal.pone.0138760 |
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