Cargando…
A three component model for superdiffusive motion effectively describes migration of eukaryotic cells moving freely or under a directional stimulus
Although the simple diffusion model can effectively describe the movement of eukaryotic cells on a culture surface observed at relatively low sampling frequency, at higher sampling rates more complex models are often necessary to better fit the experimental data. Currently available models can descr...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345344/ https://www.ncbi.nlm.nih.gov/pubmed/35917375 http://dx.doi.org/10.1371/journal.pone.0272259 |
_version_ | 1784761404390113280 |
---|---|
author | Toscano, Elvira Sepe, Leandra del Giudice, Giusy Tufano, Rossella Paolella, Giovanni |
author_facet | Toscano, Elvira Sepe, Leandra del Giudice, Giusy Tufano, Rossella Paolella, Giovanni |
author_sort | Toscano, Elvira |
collection | PubMed |
description | Although the simple diffusion model can effectively describe the movement of eukaryotic cells on a culture surface observed at relatively low sampling frequency, at higher sampling rates more complex models are often necessary to better fit the experimental data. Currently available models can describe motion paths by involving additional parameters, such as linearity or directional persistence in time. However sometimes difficulties arise as it is not easy to effectively evaluate persistence in presence of a directional bias. Here we present a procedure which helps solve this problem, based on a model which describes displacement as the vectorial sum of three components: diffusion, persistence and directional bias. The described model has been tested by analysing the migratory behaviour of simulated cell populations and used to analyse a collection of experimental datasets, obtained by observing cell cultures in time lapse microscopy. Overall, the method produces a good description of migration behaviour as it appears to capture the expected increase in the directional bias in presence of wound without a large concomitant increase in the persistence module, allowing it to remain as a physically meaningful quantity in the presence of a directional stimulus. |
format | Online Article Text |
id | pubmed-9345344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-93453442022-08-03 A three component model for superdiffusive motion effectively describes migration of eukaryotic cells moving freely or under a directional stimulus Toscano, Elvira Sepe, Leandra del Giudice, Giusy Tufano, Rossella Paolella, Giovanni PLoS One Research Article Although the simple diffusion model can effectively describe the movement of eukaryotic cells on a culture surface observed at relatively low sampling frequency, at higher sampling rates more complex models are often necessary to better fit the experimental data. Currently available models can describe motion paths by involving additional parameters, such as linearity or directional persistence in time. However sometimes difficulties arise as it is not easy to effectively evaluate persistence in presence of a directional bias. Here we present a procedure which helps solve this problem, based on a model which describes displacement as the vectorial sum of three components: diffusion, persistence and directional bias. The described model has been tested by analysing the migratory behaviour of simulated cell populations and used to analyse a collection of experimental datasets, obtained by observing cell cultures in time lapse microscopy. Overall, the method produces a good description of migration behaviour as it appears to capture the expected increase in the directional bias in presence of wound without a large concomitant increase in the persistence module, allowing it to remain as a physically meaningful quantity in the presence of a directional stimulus. Public Library of Science 2022-08-02 /pmc/articles/PMC9345344/ /pubmed/35917375 http://dx.doi.org/10.1371/journal.pone.0272259 Text en © 2022 Toscano et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Toscano, Elvira Sepe, Leandra del Giudice, Giusy Tufano, Rossella Paolella, Giovanni A three component model for superdiffusive motion effectively describes migration of eukaryotic cells moving freely or under a directional stimulus |
title | A three component model for superdiffusive motion effectively describes migration of eukaryotic cells moving freely or under a directional stimulus |
title_full | A three component model for superdiffusive motion effectively describes migration of eukaryotic cells moving freely or under a directional stimulus |
title_fullStr | A three component model for superdiffusive motion effectively describes migration of eukaryotic cells moving freely or under a directional stimulus |
title_full_unstemmed | A three component model for superdiffusive motion effectively describes migration of eukaryotic cells moving freely or under a directional stimulus |
title_short | A three component model for superdiffusive motion effectively describes migration of eukaryotic cells moving freely or under a directional stimulus |
title_sort | three component model for superdiffusive motion effectively describes migration of eukaryotic cells moving freely or under a directional stimulus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345344/ https://www.ncbi.nlm.nih.gov/pubmed/35917375 http://dx.doi.org/10.1371/journal.pone.0272259 |
work_keys_str_mv | AT toscanoelvira athreecomponentmodelforsuperdiffusivemotioneffectivelydescribesmigrationofeukaryoticcellsmovingfreelyorunderadirectionalstimulus AT sepeleandra athreecomponentmodelforsuperdiffusivemotioneffectivelydescribesmigrationofeukaryoticcellsmovingfreelyorunderadirectionalstimulus AT delgiudicegiusy athreecomponentmodelforsuperdiffusivemotioneffectivelydescribesmigrationofeukaryoticcellsmovingfreelyorunderadirectionalstimulus AT tufanorossella athreecomponentmodelforsuperdiffusivemotioneffectivelydescribesmigrationofeukaryoticcellsmovingfreelyorunderadirectionalstimulus AT paolellagiovanni athreecomponentmodelforsuperdiffusivemotioneffectivelydescribesmigrationofeukaryoticcellsmovingfreelyorunderadirectionalstimulus AT toscanoelvira threecomponentmodelforsuperdiffusivemotioneffectivelydescribesmigrationofeukaryoticcellsmovingfreelyorunderadirectionalstimulus AT sepeleandra threecomponentmodelforsuperdiffusivemotioneffectivelydescribesmigrationofeukaryoticcellsmovingfreelyorunderadirectionalstimulus AT delgiudicegiusy threecomponentmodelforsuperdiffusivemotioneffectivelydescribesmigrationofeukaryoticcellsmovingfreelyorunderadirectionalstimulus AT tufanorossella threecomponentmodelforsuperdiffusivemotioneffectivelydescribesmigrationofeukaryoticcellsmovingfreelyorunderadirectionalstimulus AT paolellagiovanni threecomponentmodelforsuperdiffusivemotioneffectivelydescribesmigrationofeukaryoticcellsmovingfreelyorunderadirectionalstimulus |