Chapter title |
Analysis of Invasive Activity of CAF Spheroids into Three Dimensional (3D) Collagen Matrices
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Chapter number | 14 |
Book title |
Proteases and Cancer
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Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7595-2_14 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7594-5, 978-1-4939-7595-2
|
Authors |
María Ángeles Villaronga, Saúl Álvarez Teijeiro, Francisco Hermida-Prado, Marta Garzón-Arango, Victoria Sanz-Moreno, Juana María García-Pedrero |
Abstract |
Tumor growth and progression is the result of a complex process controlled not only by malignant cancer cells but also by the surrounding tumor microenvironment (TME). Cancer associated fibroblasts (CAFs), the most abundant cellular component of TME, play an active role in tumor invasion and metastasis by promoting cancer cell invasion through cell-cell interactions and secretion of pro-invasive factors such as extracellular matrix (ECM)-degrading proteases. Due to their tumor-promoting activities, there is an emerging interest in investigating CAFs biology and its potential as drug targets for cancer therapies. Here we describe an easy and highly reproducible quantitative method to analyze CAF invasive activity by forming multicellular spheroids embedded into a three-dimensional (3D) matrix that mimics in vivo ECM. Subsequently, invasion is monitored over time using a time-lapse microscope. We also provide an automated image analysis system that enables the rapid quantification of the spheroid area increase (invasive area) over time. The use of a 96-well plate format with one CAF spheroid per well and the automated analysis provides a method suitable for drug screening test, such as protease inhibitors. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 5 | 23% |
Student > Bachelor | 3 | 14% |
Researcher | 3 | 14% |
Student > Doctoral Student | 2 | 9% |
Other | 1 | 5% |
Other | 4 | 18% |
Unknown | 4 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 50% |
Agricultural and Biological Sciences | 3 | 14% |
Nursing and Health Professions | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Engineering | 1 | 5% |
Other | 0 | 0% |
Unknown | 5 | 23% |