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Tracking cells in epithelial acini by light sheet microscopy reveals proximity effects in breast cancer initiation

Cancer clone evolution takes place within tissue ecosystem habitats. But, how exactly tumors arise from a few malignant cells within an intact epithelium is a central, yet unanswered question. This is mainly due to the inaccessibility of this process to longitudinal imaging together with a lack of s...

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Detalles Bibliográficos
Autores principales: Alladin, Ashna, Chaible, Lucas, Garcia del Valle, Lucia, Sabine, Reither, Loeschinger, Monika, Wachsmuth, Malte, Hériché, Jean-Karim, Tischer, Christian, Jechlinger, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7373425/
https://www.ncbi.nlm.nih.gov/pubmed/32690136
http://dx.doi.org/10.7554/eLife.54066
Descripción
Sumario:Cancer clone evolution takes place within tissue ecosystem habitats. But, how exactly tumors arise from a few malignant cells within an intact epithelium is a central, yet unanswered question. This is mainly due to the inaccessibility of this process to longitudinal imaging together with a lack of systems that model the progression of a fraction of transformed cells within a tissue. Here, we developed a new methodology based on primary mouse mammary epithelial acini, where oncogenes can be switched on in single cells within an otherwise normal epithelial cell layer. We combine this stochastic breast tumor induction model with inverted light-sheet imaging to study single-cell behavior for up to four days and analyze cell fates utilizing a newly developed image-data analysis workflow. The power of this integrated approach is illustrated by us finding that small local clusters of transformed cells form tumors while isolated transformed cells do not.