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I-AbACUS: a Reliable Software Tool for the Semi-Automatic Analysis of Invasion and Migration Transwell Assays

The quantification of invasion and migration is an important aspect of cancer research, used both in the study of the molecular processes involved in this collection of diseases and the evaluation of the efficacy of new potential treatments. The transwell assay, while being one of the most widely us...

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Autores principales: Cortesi, Marilisa, Llamosas, Estelle, Henry, Claire E., Kumaran, Raani-Yogeeta A., Ng, Benedict, Youkhana, Janet, Ford, Caroline E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830488/
https://www.ncbi.nlm.nih.gov/pubmed/29491372
http://dx.doi.org/10.1038/s41598-018-22091-5
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author Cortesi, Marilisa
Llamosas, Estelle
Henry, Claire E.
Kumaran, Raani-Yogeeta A.
Ng, Benedict
Youkhana, Janet
Ford, Caroline E.
author_facet Cortesi, Marilisa
Llamosas, Estelle
Henry, Claire E.
Kumaran, Raani-Yogeeta A.
Ng, Benedict
Youkhana, Janet
Ford, Caroline E.
author_sort Cortesi, Marilisa
collection PubMed
description The quantification of invasion and migration is an important aspect of cancer research, used both in the study of the molecular processes involved in this collection of diseases and the evaluation of the efficacy of new potential treatments. The transwell assay, while being one of the most widely used techniques for the evaluation of these characteristics, shows a high dependence on the operator’s ability to correctly identify the cells and a low protocol standardization. Here we present I-AbACUS, a software tool specifically designed to aid the analysis of transwell assays that automatically and specifically recognizes cells in images of stained membranes and provides the user with a suggested cell count. A complete description of this instrument, together with its validation against the standard analysis technique for this assay is presented. Furthermore, we show that I-AbACUS is versatile and able to elaborate images containing cells with different morphologies and that the obtained results are less dependent on the operator and their experience. We anticipate that this instrument, freely available (Gnu Public Licence GPL v2) at www.marilisacortesi.com as a standalone application, could significantly improve the quantification of invasion and migration of cancer cells.
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spelling pubmed-58304882018-03-05 I-AbACUS: a Reliable Software Tool for the Semi-Automatic Analysis of Invasion and Migration Transwell Assays Cortesi, Marilisa Llamosas, Estelle Henry, Claire E. Kumaran, Raani-Yogeeta A. Ng, Benedict Youkhana, Janet Ford, Caroline E. Sci Rep Article The quantification of invasion and migration is an important aspect of cancer research, used both in the study of the molecular processes involved in this collection of diseases and the evaluation of the efficacy of new potential treatments. The transwell assay, while being one of the most widely used techniques for the evaluation of these characteristics, shows a high dependence on the operator’s ability to correctly identify the cells and a low protocol standardization. Here we present I-AbACUS, a software tool specifically designed to aid the analysis of transwell assays that automatically and specifically recognizes cells in images of stained membranes and provides the user with a suggested cell count. A complete description of this instrument, together with its validation against the standard analysis technique for this assay is presented. Furthermore, we show that I-AbACUS is versatile and able to elaborate images containing cells with different morphologies and that the obtained results are less dependent on the operator and their experience. We anticipate that this instrument, freely available (Gnu Public Licence GPL v2) at www.marilisacortesi.com as a standalone application, could significantly improve the quantification of invasion and migration of cancer cells. Nature Publishing Group UK 2018-02-28 /pmc/articles/PMC5830488/ /pubmed/29491372 http://dx.doi.org/10.1038/s41598-018-22091-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Cortesi, Marilisa
Llamosas, Estelle
Henry, Claire E.
Kumaran, Raani-Yogeeta A.
Ng, Benedict
Youkhana, Janet
Ford, Caroline E.
I-AbACUS: a Reliable Software Tool for the Semi-Automatic Analysis of Invasion and Migration Transwell Assays
title I-AbACUS: a Reliable Software Tool for the Semi-Automatic Analysis of Invasion and Migration Transwell Assays
title_full I-AbACUS: a Reliable Software Tool for the Semi-Automatic Analysis of Invasion and Migration Transwell Assays
title_fullStr I-AbACUS: a Reliable Software Tool for the Semi-Automatic Analysis of Invasion and Migration Transwell Assays
title_full_unstemmed I-AbACUS: a Reliable Software Tool for the Semi-Automatic Analysis of Invasion and Migration Transwell Assays
title_short I-AbACUS: a Reliable Software Tool for the Semi-Automatic Analysis of Invasion and Migration Transwell Assays
title_sort i-abacus: a reliable software tool for the semi-automatic analysis of invasion and migration transwell assays
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830488/
https://www.ncbi.nlm.nih.gov/pubmed/29491372
http://dx.doi.org/10.1038/s41598-018-22091-5
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