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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...

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Autores principales: Yakimovich, Artur, Andriasyan, Vardan, Witte, Robert, Wang, I-Hsuan, Prasad, Vibhu, Suomalainen, Maarit, Greber, Urs F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
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.
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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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