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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...

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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
Descripción
Sumario: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.