| Chapter title |
4D Tumorigenesis Model for Quantitating Coalescence, Directed Cell Motility and Chemotaxis, Identifying Unique Cell Behaviors, and Testing Anticancer Drugs
|
|---|---|
| Chapter number | 18 |
| Book title |
Chemotaxis
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3480-5_18 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3478-2, 978-1-4939-3480-5
|
| Authors |
Spencer Kuhl, Edward Voss, Amanda Scherer, Daniel F. Lusche, Deborah Wessels, David R. Soll, Kuhl, Spencer, Voss, Edward, Scherer, Amanda, Lusche, Daniel F., Wessels, Deborah, Soll, David R. |
| Abstract |
A 4D high-resolution computer-assisted reconstruction and motion analysis system has been developed and applied to the long-term (14-30 days) analysis of cancer cells migrating and aggregating within a 3D matrix. 4D tumorigenesis models more closely approximate the tumor microenvironment than 2D substrates and, therefore, are improved tools for elucidating the interactions within the tumor microenvironment that promote growth and metastasis. The model we describe here can be used to analyze the growth of tumor cells, aggregate coalescence, directed cell motility and chemotaxis, matrix degradation, the effects of anticancer drugs, and the behavior of immune and endothelial cells mixed with cancer cells. The information given in this chapter is also intended to acquaint the reader with computer-assisted methods and algorithms that can be used for high-resolution 3D reconstruction and quantitative motion analysis. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |