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Studying Cell Migration (Random and Wound Healing) Parameters with Imaging and MATLAB Analysis
Cell migration is an essential biological process for organisms, in processes including embryonic development, immune response, and cancer metastasis. To elucidate the regulatory machinery of this vital process, methods that mimic in vivo migration, including in vitro wound healing assay and random...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bio-Protocol
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632163/ https://www.ncbi.nlm.nih.gov/pubmed/37969751 http://dx.doi.org/10.21769/BioProtoc.4871 |
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author | Yu, Ling-Yea Lin, Hsuan-Chao Hsu, Chi-Lin Kao, Tuan-Yu Tsai, Feng-Chiao |
author_facet | Yu, Ling-Yea Lin, Hsuan-Chao Hsu, Chi-Lin Kao, Tuan-Yu Tsai, Feng-Chiao |
author_sort | Yu, Ling-Yea |
collection | PubMed |
description | Cell migration is an essential biological process for organisms, in processes including embryonic development, immune response, and cancer metastasis. To elucidate the regulatory machinery of this vital process, methods that mimic in vivo migration, including in vitro wound healing assay and random migration assay, are widely used for cell behavior investigation. However, several concerns are raised with traditional cell migration experiment analysis. First, a manually scratched wound often presents irregular edges, causing the speed analysis difficult. Second, only the migration speed of leading cells is considered in the wound healing assay. Here, we provide a reliable analysis method to trace each cell in the time-lapse images, eliminating the concern about wound shape and creating a more comprehensive understanding of cell migration—not only of collective migration speed but also single-cell directionality and coordination between cells. |
format | Online Article Text |
id | pubmed-10632163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Bio-Protocol |
record_format | MEDLINE/PubMed |
spelling | pubmed-106321632023-11-15 Studying Cell Migration (Random and Wound Healing) Parameters with Imaging and MATLAB Analysis Yu, Ling-Yea Lin, Hsuan-Chao Hsu, Chi-Lin Kao, Tuan-Yu Tsai, Feng-Chiao Bio Protoc Methods Article Cell migration is an essential biological process for organisms, in processes including embryonic development, immune response, and cancer metastasis. To elucidate the regulatory machinery of this vital process, methods that mimic in vivo migration, including in vitro wound healing assay and random migration assay, are widely used for cell behavior investigation. However, several concerns are raised with traditional cell migration experiment analysis. First, a manually scratched wound often presents irregular edges, causing the speed analysis difficult. Second, only the migration speed of leading cells is considered in the wound healing assay. Here, we provide a reliable analysis method to trace each cell in the time-lapse images, eliminating the concern about wound shape and creating a more comprehensive understanding of cell migration—not only of collective migration speed but also single-cell directionality and coordination between cells. Bio-Protocol 2023-11-05 /pmc/articles/PMC10632163/ /pubmed/37969751 http://dx.doi.org/10.21769/BioProtoc.4871 Text en ©Copyright : © 2023 The Authors; This is an open access article under the CC BY-NC license https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the CC BY-NC license (https://creativecommons.org/licenses/by-nc/4.0/). |
spellingShingle | Methods Article Yu, Ling-Yea Lin, Hsuan-Chao Hsu, Chi-Lin Kao, Tuan-Yu Tsai, Feng-Chiao Studying Cell Migration (Random and Wound Healing) Parameters with Imaging and MATLAB Analysis |
title | Studying Cell Migration (Random and Wound Healing) Parameters with Imaging and MATLAB Analysis |
title_full | Studying Cell Migration (Random and Wound Healing) Parameters with Imaging and MATLAB Analysis |
title_fullStr | Studying Cell Migration (Random and Wound Healing) Parameters with Imaging and MATLAB Analysis |
title_full_unstemmed | Studying Cell Migration (Random and Wound Healing) Parameters with Imaging and MATLAB Analysis |
title_short | Studying Cell Migration (Random and Wound Healing) Parameters with Imaging and MATLAB Analysis |
title_sort | studying cell migration (random and wound healing) parameters with imaging and matlab analysis |
topic | Methods Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632163/ https://www.ncbi.nlm.nih.gov/pubmed/37969751 http://dx.doi.org/10.21769/BioProtoc.4871 |
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