Chapter title |
Analysis of Invasion Dynamics of Matrix-Embedded Cells in a Multisample Format
|
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Chapter number | 9 |
Book title |
Cell Migration
|
Published in |
Methods in molecular biology, March 2018
|
DOI | 10.1007/978-1-4939-7701-7_9 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7700-0, 978-1-4939-7701-7
|
Authors |
Marleen Van Troys, Paola Masuzzo, Lynn Huyck, Karima Bakkali, Davy Waterschoot, Lennart Martens, Christophe Ampe |
Abstract |
In vitro tests of cancer cell invasion are the "first line" tools of preclinical researchers for screening the multitude of chemical compounds or cell perturbations that may aid in halting or treating cancer malignancy. In order to have predictive value or to contribute to designing personalized treatment regimes, these tests need to take into account the cancer cell environment and measure effects on invasion in sufficient detail. The in vitro invasion assays presented here are a trade-off between feasibility in a multisample format and mimicking the complexity of the tumor microenvironment. They allow testing multiple samples and conditions in parallel using 3D-matrix-embedded cells and deal with the heterogeneous behavior of an invading cell population in time. We describe the steps to take, the technical problems to tackle and useful software tools for the entire workflow: from the experimental setup to the quantification of the invasive capacity of the cells. The protocol is intended to guide researchers to standardize experimental set-ups and to annotate their invasion experiments in sufficient detail. In addition, it provides options for image processing and a solution for storage, visualization, quantitative analysis, and multisample comparison of acquired cell invasion data. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 4 | 25% |
Student > Master | 2 | 13% |
Student > Bachelor | 1 | 6% |
Librarian | 1 | 6% |
Professor > Associate Professor | 1 | 6% |
Other | 1 | 6% |
Unknown | 6 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 19% |
Agricultural and Biological Sciences | 3 | 19% |
Medicine and Dentistry | 1 | 6% |
Chemistry | 1 | 6% |
Engineering | 1 | 6% |
Other | 1 | 6% |
Unknown | 6 | 38% |