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Robust quantitative scratch assay

The wound healing assay (or scratch assay) is a technique frequently used to quantify the dependence of cell motility—a central process in tissue repair and evolution of disease—subject to various treatments conditions. However processing the resulting data is a laborious task due its high throughpu...

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Autores principales: Vargas, Andrea, Angeli, Marc, Pastrello, Chiara, McQuaid, Rosanne, Li, Han, Jurisicova, Andrea, Jurisica, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4848397/
https://www.ncbi.nlm.nih.gov/pubmed/26722119
http://dx.doi.org/10.1093/bioinformatics/btv746
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author Vargas, Andrea
Angeli, Marc
Pastrello, Chiara
McQuaid, Rosanne
Li, Han
Jurisicova, Andrea
Jurisica, Igor
author_facet Vargas, Andrea
Angeli, Marc
Pastrello, Chiara
McQuaid, Rosanne
Li, Han
Jurisicova, Andrea
Jurisica, Igor
author_sort Vargas, Andrea
collection PubMed
description The wound healing assay (or scratch assay) is a technique frequently used to quantify the dependence of cell motility—a central process in tissue repair and evolution of disease—subject to various treatments conditions. However processing the resulting data is a laborious task due its high throughput and variability across images. This Robust Quantitative Scratch Assay algorithm introduced statistical outputs where migration rates are estimated, cellular behaviour is distinguished and outliers are identified among groups of unique experimental conditions. Furthermore, the RQSA decreased measurement errors and increased accuracy in the wound boundary at comparable processing times compared to previously developed method (TScratch). Availability and implementation: The RQSA is freely available at: http://ophid.utoronto.ca/RQSA/RQSA_Scripts.zip. The image sets used for training and validation and results are available at: (http://ophid.utoronto.ca/RQSA/trainingSet.zip, http://ophid.utoronto.ca/RQSA/validationSet.zip, http://ophid.utoronto.ca/RQSA/ValidationSetResults.zip, http://ophid.utoronto.ca/RQSA/ValidationSet_H1975.zip, http://ophid.utoronto.ca/RQSA/ValidationSet_H1975Results.zip, http://ophid.utoronto.ca/RQSA/RobustnessSet.zip, http://ophid.utoronto.ca/RQSA/RobustnessSet.zip). Supplementary Material is provided for detailed description of the development of the RQSA. Contact: juris@ai.utoronto.ca Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-48483972016-04-29 Robust quantitative scratch assay Vargas, Andrea Angeli, Marc Pastrello, Chiara McQuaid, Rosanne Li, Han Jurisicova, Andrea Jurisica, Igor Bioinformatics Applications Notes The wound healing assay (or scratch assay) is a technique frequently used to quantify the dependence of cell motility—a central process in tissue repair and evolution of disease—subject to various treatments conditions. However processing the resulting data is a laborious task due its high throughput and variability across images. This Robust Quantitative Scratch Assay algorithm introduced statistical outputs where migration rates are estimated, cellular behaviour is distinguished and outliers are identified among groups of unique experimental conditions. Furthermore, the RQSA decreased measurement errors and increased accuracy in the wound boundary at comparable processing times compared to previously developed method (TScratch). Availability and implementation: The RQSA is freely available at: http://ophid.utoronto.ca/RQSA/RQSA_Scripts.zip. The image sets used for training and validation and results are available at: (http://ophid.utoronto.ca/RQSA/trainingSet.zip, http://ophid.utoronto.ca/RQSA/validationSet.zip, http://ophid.utoronto.ca/RQSA/ValidationSetResults.zip, http://ophid.utoronto.ca/RQSA/ValidationSet_H1975.zip, http://ophid.utoronto.ca/RQSA/ValidationSet_H1975Results.zip, http://ophid.utoronto.ca/RQSA/RobustnessSet.zip, http://ophid.utoronto.ca/RQSA/RobustnessSet.zip). Supplementary Material is provided for detailed description of the development of the RQSA. Contact: juris@ai.utoronto.ca Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-05-01 2015-12-31 /pmc/articles/PMC4848397/ /pubmed/26722119 http://dx.doi.org/10.1093/bioinformatics/btv746 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Vargas, Andrea
Angeli, Marc
Pastrello, Chiara
McQuaid, Rosanne
Li, Han
Jurisicova, Andrea
Jurisica, Igor
Robust quantitative scratch assay
title Robust quantitative scratch assay
title_full Robust quantitative scratch assay
title_fullStr Robust quantitative scratch assay
title_full_unstemmed Robust quantitative scratch assay
title_short Robust quantitative scratch assay
title_sort robust quantitative scratch assay
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4848397/
https://www.ncbi.nlm.nih.gov/pubmed/26722119
http://dx.doi.org/10.1093/bioinformatics/btv746
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