Related Experiment Video
Updated: Aug 23, 2025

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy
Published on: May 13, 2012
Quantitative Analysis of Collective Migration by Single-Cell Tracking Aimed at Understanding Cancer Metastasis
Zhuohan Xin1, Keiko Deguchi2, Shin-Ichiro Suye1,2,3
1Department of Advanced Interdisciplinary Science and Technology, University of Fukui, Fukui 910-8507, Japan.
Abstract:
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.
Related Concept Videos
Cell Migration
Chemotaxis and Direction of Cell Migration
Metastasis
Epithelial-to-Mesenchymal Transition
The epithelial-to-mesenchymal transition or EMT is a developmental process commonly observed in wound healing, embryogenesis, and cancer metastasis. EMT is induced by transforming growth factor-beta (TGF-β) or receptor tyrosine kinase (RTK) ligands, which further...

