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Continuous, label-free, 96-well-based determination of cell migration using confluence measurement
Cellular migration is essential in diverse physiological and pathophysiological processes. Here, we present a protocol for quantitative analysis of migration using confluence detection allowing continuous, non-endpoint measurement with minimal hands-on time under cell incubator conditions. Applicabi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527382/ https://www.ncbi.nlm.nih.gov/pubmed/30295122 http://dx.doi.org/10.1080/19336918.2018.1526612 |
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author | Mayr, Christian Beyreis, Marlena Dobias, Heidemarie Gaisberger, Martin Fuchs, Julia Pichler, Martin Ritter, Markus Jakab, Martin Helm, Katharina Neureiter, Daniel Kiesslich, Tobias |
author_facet | Mayr, Christian Beyreis, Marlena Dobias, Heidemarie Gaisberger, Martin Fuchs, Julia Pichler, Martin Ritter, Markus Jakab, Martin Helm, Katharina Neureiter, Daniel Kiesslich, Tobias |
author_sort | Mayr, Christian |
collection | PubMed |
description | Cellular migration is essential in diverse physiological and pathophysiological processes. Here, we present a protocol for quantitative analysis of migration using confluence detection allowing continuous, non-endpoint measurement with minimal hands-on time under cell incubator conditions. Applicability was tested using substances which enhance (EGF) or inhibit (cytochalasin D, ouabain) migration. Using a gap-closure assay we demonstrate that automated confluence detection monitors cellular migration in the 96-well microplate format. Quantification by % confluence, % cell free-area or % confluence in cell-free area against time, allows detailed analysis of cellular migration. The study describes a practicable approach for continuous, non-endpoint measurement of migration in 96-well microplates and for detailed data analysis, which allows for medium/high-throughput analysis of cellular migration in vitro. |
format | Online Article Text |
id | pubmed-6527382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-65273822019-05-31 Continuous, label-free, 96-well-based determination of cell migration using confluence measurement Mayr, Christian Beyreis, Marlena Dobias, Heidemarie Gaisberger, Martin Fuchs, Julia Pichler, Martin Ritter, Markus Jakab, Martin Helm, Katharina Neureiter, Daniel Kiesslich, Tobias Cell Adh Migr Technical Report Cellular migration is essential in diverse physiological and pathophysiological processes. Here, we present a protocol for quantitative analysis of migration using confluence detection allowing continuous, non-endpoint measurement with minimal hands-on time under cell incubator conditions. Applicability was tested using substances which enhance (EGF) or inhibit (cytochalasin D, ouabain) migration. Using a gap-closure assay we demonstrate that automated confluence detection monitors cellular migration in the 96-well microplate format. Quantification by % confluence, % cell free-area or % confluence in cell-free area against time, allows detailed analysis of cellular migration. The study describes a practicable approach for continuous, non-endpoint measurement of migration in 96-well microplates and for detailed data analysis, which allows for medium/high-throughput analysis of cellular migration in vitro. Taylor & Francis 2018-10-08 /pmc/articles/PMC6527382/ /pubmed/30295122 http://dx.doi.org/10.1080/19336918.2018.1526612 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Report Mayr, Christian Beyreis, Marlena Dobias, Heidemarie Gaisberger, Martin Fuchs, Julia Pichler, Martin Ritter, Markus Jakab, Martin Helm, Katharina Neureiter, Daniel Kiesslich, Tobias Continuous, label-free, 96-well-based determination of cell migration using confluence measurement |
title | Continuous, label-free, 96-well-based determination of cell migration using confluence measurement |
title_full | Continuous, label-free, 96-well-based determination of cell migration using confluence measurement |
title_fullStr | Continuous, label-free, 96-well-based determination of cell migration using confluence measurement |
title_full_unstemmed | Continuous, label-free, 96-well-based determination of cell migration using confluence measurement |
title_short | Continuous, label-free, 96-well-based determination of cell migration using confluence measurement |
title_sort | continuous, label-free, 96-well-based determination of cell migration using confluence measurement |
topic | Technical Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527382/ https://www.ncbi.nlm.nih.gov/pubmed/30295122 http://dx.doi.org/10.1080/19336918.2018.1526612 |
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