Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Ling-Yea, Lin, Hsuan-Chao, Hsu, Chi-Lin, Kao, Tuan-Yu, Tsai, Feng-Chiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bio-Protocol 2023
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
_version_ 1785146111861719040
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
work_keys_str_mv AT yulingyea studyingcellmigrationrandomandwoundhealingparameterswithimagingandmatlabanalysis
AT linhsuanchao studyingcellmigrationrandomandwoundhealingparameterswithimagingandmatlabanalysis
AT hsuchilin studyingcellmigrationrandomandwoundhealingparameterswithimagingandmatlabanalysis
AT kaotuanyu studyingcellmigrationrandomandwoundhealingparameterswithimagingandmatlabanalysis
AT tsaifengchiao studyingcellmigrationrandomandwoundhealingparameterswithimagingandmatlabanalysis