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An end-to-end software solution for the analysis of high-throughput single-cell migration data
The systematic study of single-cell migration requires the availability of software for assisting data inspection, quality control and analysis. This is especially important for high-throughput experiments, where multiple biological conditions are tested in parallel. Although the field of cell migra...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5304333/ https://www.ncbi.nlm.nih.gov/pubmed/28205527 http://dx.doi.org/10.1038/srep42383 |
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author | Masuzzo, Paola Huyck, Lynn Simiczyjew, Aleksandra Ampe, Christophe Martens, Lennart Van Troys, Marleen |
author_facet | Masuzzo, Paola Huyck, Lynn Simiczyjew, Aleksandra Ampe, Christophe Martens, Lennart Van Troys, Marleen |
author_sort | Masuzzo, Paola |
collection | PubMed |
description | The systematic study of single-cell migration requires the availability of software for assisting data inspection, quality control and analysis. This is especially important for high-throughput experiments, where multiple biological conditions are tested in parallel. Although the field of cell migration can count on different computational tools for cell segmentation and tracking, downstream data visualization, parameter extraction and statistical analysis are still left to the user and are currently not possible within a single tool. This article presents a completely new module for the open-source, cross-platform CellMissy software for cell migration data management. This module is the first tool to focus specifically on single-cell migration data downstream of image processing. It allows fast comparison across all tested conditions, providing automated data visualization, assisted data filtering and quality control, extraction of various commonly used cell migration parameters, and non-parametric statistical analysis. Importantly, the module enables parameters computation both at the trajectory- and at the step-level. Moreover, this single-cell analysis module is complemented by a new data import module that accommodates multiwell plate data obtained from high-throughput experiments, and is easily extensible through a plugin architecture. In conclusion, the end-to-end software solution presented here tackles a key bioinformatics challenge in the cell migration field, assisting researchers in their high-throughput data processing. |
format | Online Article Text |
id | pubmed-5304333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53043332017-03-14 An end-to-end software solution for the analysis of high-throughput single-cell migration data Masuzzo, Paola Huyck, Lynn Simiczyjew, Aleksandra Ampe, Christophe Martens, Lennart Van Troys, Marleen Sci Rep Article The systematic study of single-cell migration requires the availability of software for assisting data inspection, quality control and analysis. This is especially important for high-throughput experiments, where multiple biological conditions are tested in parallel. Although the field of cell migration can count on different computational tools for cell segmentation and tracking, downstream data visualization, parameter extraction and statistical analysis are still left to the user and are currently not possible within a single tool. This article presents a completely new module for the open-source, cross-platform CellMissy software for cell migration data management. This module is the first tool to focus specifically on single-cell migration data downstream of image processing. It allows fast comparison across all tested conditions, providing automated data visualization, assisted data filtering and quality control, extraction of various commonly used cell migration parameters, and non-parametric statistical analysis. Importantly, the module enables parameters computation both at the trajectory- and at the step-level. Moreover, this single-cell analysis module is complemented by a new data import module that accommodates multiwell plate data obtained from high-throughput experiments, and is easily extensible through a plugin architecture. In conclusion, the end-to-end software solution presented here tackles a key bioinformatics challenge in the cell migration field, assisting researchers in their high-throughput data processing. Nature Publishing Group 2017-02-13 /pmc/articles/PMC5304333/ /pubmed/28205527 http://dx.doi.org/10.1038/srep42383 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Masuzzo, Paola Huyck, Lynn Simiczyjew, Aleksandra Ampe, Christophe Martens, Lennart Van Troys, Marleen An end-to-end software solution for the analysis of high-throughput single-cell migration data |
title | An end-to-end software solution for the analysis of high-throughput single-cell migration data |
title_full | An end-to-end software solution for the analysis of high-throughput single-cell migration data |
title_fullStr | An end-to-end software solution for the analysis of high-throughput single-cell migration data |
title_full_unstemmed | An end-to-end software solution for the analysis of high-throughput single-cell migration data |
title_short | An end-to-end software solution for the analysis of high-throughput single-cell migration data |
title_sort | end-to-end software solution for the analysis of high-throughput single-cell migration data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5304333/ https://www.ncbi.nlm.nih.gov/pubmed/28205527 http://dx.doi.org/10.1038/srep42383 |
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