Integration of quantitative methods and mathematical approaches for the modeling of cancer cell proliferation dynamics
Abstract
Physiological processes rely on the control of cell proliferation, and the dysregulation of these processes underlies various pathological conditions, including cancer. Mathematical modeling can provide new insights into the complex regulation of cell proliferation dynamics. In this review, we first examine quantitative experimental approaches for measuring cell proliferation dynamics in vitro and compare the various types of data that can be obtained in these settings. We then explore the toolbox of common mathematical modeling frameworks that can describe cell behavior, dynamics, and interactions of proliferation. We discuss how these wet-laboratory studies may be integrated with different mathematical modeling approaches to aid the interpretation of the results and to enable the prediction of cell behaviors, specifically in the context of cancer.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 01, 2023
- Source ID
- 10.1152/ajpcell.00185.2022
Entities
People
- Amy Brock
- Andrea Gardner
- Carolina De Santiago
- Michael Cotner
- Sarah Meng
- Tyler Jost
Organizations
- National Cancer Institute
- National Institute of Biomedical Imaging and Bioengineering
- United States Department of Defense
- University of Texas at Austin