Cargando…

Quantitative Analysis of Collective Migration by Single-Cell Tracking Aimed at Understanding Cancer Metastasis

Metastasis is a major complication of cancer treatments. Studies of the migratory behavior of cells are needed to investigate and control metastasis. Metastasis is based on the epithelial–mesenchymal transition, in which epithelial cells acquire mesenchymal properties and the ability to leave the po...

Descripción completa

Detalles Bibliográficos
Autores principales: Xin, Zhuohan, Deguchi, Keiko, Suye, Shin-ichiro, Fujita, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604284/
https://www.ncbi.nlm.nih.gov/pubmed/36293228
http://dx.doi.org/10.3390/ijms232012372
_version_ 1784817775116550144
author Xin, Zhuohan
Deguchi, Keiko
Suye, Shin-ichiro
Fujita, Satoshi
author_facet Xin, Zhuohan
Deguchi, Keiko
Suye, Shin-ichiro
Fujita, Satoshi
author_sort Xin, Zhuohan
collection PubMed
description Metastasis is a major complication of cancer treatments. Studies of the migratory behavior of cells are needed to investigate and control metastasis. Metastasis is based on the epithelial–mesenchymal transition, in which epithelial cells acquire mesenchymal properties and the ability to leave the population to invade other regions of the body. In collective migration, highly migratory “leader” cells are found at the front of the cell population, as well as cells that “follow” these leader cells. However, the interactions between these cells are not well understood. We examined the migration properties of leader–follower cells during collective migration at the single-cell level. Different mixed ratios of “leader” and “follower” cell populations were compared. Collective migration was quantitatively analyzed from two perspectives: cell migration within the colony and migration of the entire colony. Analysis of the effect of the cell mixing ratio on migration behavior showed that a small number of highly migratory cells enhanced some of the migratory properties of other cells. The results provide useful insights into the cellular interactions in collective cell migration of cancer cell invasion.
format Online
Article
Text
id pubmed-9604284
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96042842022-10-27 Quantitative Analysis of Collective Migration by Single-Cell Tracking Aimed at Understanding Cancer Metastasis Xin, Zhuohan Deguchi, Keiko Suye, Shin-ichiro Fujita, Satoshi Int J Mol Sci Article Metastasis is a major complication of cancer treatments. Studies of the migratory behavior of cells are needed to investigate and control metastasis. Metastasis is based on the epithelial–mesenchymal transition, in which epithelial cells acquire mesenchymal properties and the ability to leave the population to invade other regions of the body. In collective migration, highly migratory “leader” cells are found at the front of the cell population, as well as cells that “follow” these leader cells. However, the interactions between these cells are not well understood. We examined the migration properties of leader–follower cells during collective migration at the single-cell level. Different mixed ratios of “leader” and “follower” cell populations were compared. Collective migration was quantitatively analyzed from two perspectives: cell migration within the colony and migration of the entire colony. Analysis of the effect of the cell mixing ratio on migration behavior showed that a small number of highly migratory cells enhanced some of the migratory properties of other cells. The results provide useful insights into the cellular interactions in collective cell migration of cancer cell invasion. MDPI 2022-10-15 /pmc/articles/PMC9604284/ /pubmed/36293228 http://dx.doi.org/10.3390/ijms232012372 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xin, Zhuohan
Deguchi, Keiko
Suye, Shin-ichiro
Fujita, Satoshi
Quantitative Analysis of Collective Migration by Single-Cell Tracking Aimed at Understanding Cancer Metastasis
title Quantitative Analysis of Collective Migration by Single-Cell Tracking Aimed at Understanding Cancer Metastasis
title_full Quantitative Analysis of Collective Migration by Single-Cell Tracking Aimed at Understanding Cancer Metastasis
title_fullStr Quantitative Analysis of Collective Migration by Single-Cell Tracking Aimed at Understanding Cancer Metastasis
title_full_unstemmed Quantitative Analysis of Collective Migration by Single-Cell Tracking Aimed at Understanding Cancer Metastasis
title_short Quantitative Analysis of Collective Migration by Single-Cell Tracking Aimed at Understanding Cancer Metastasis
title_sort quantitative analysis of collective migration by single-cell tracking aimed at understanding cancer metastasis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604284/
https://www.ncbi.nlm.nih.gov/pubmed/36293228
http://dx.doi.org/10.3390/ijms232012372
work_keys_str_mv AT xinzhuohan quantitativeanalysisofcollectivemigrationbysinglecelltrackingaimedatunderstandingcancermetastasis
AT deguchikeiko quantitativeanalysisofcollectivemigrationbysinglecelltrackingaimedatunderstandingcancermetastasis
AT suyeshinichiro quantitativeanalysisofcollectivemigrationbysinglecelltrackingaimedatunderstandingcancermetastasis
AT fujitasatoshi quantitativeanalysisofcollectivemigrationbysinglecelltrackingaimedatunderstandingcancermetastasis