Cancer Cell Tracking
Cancer Cell Tracking - Related Videos
06:00
Through the Looking Glass: Time-lapse Microscopy and Longitudinal Tracking of Single Cells to Study Anti-cancer Therapeutics
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Cited by 13 •
2016
Here, we describe a method of long-term time-lapse microscopy to longitudinally track single cells in response to anti-cancer therapeutics.
22:49
Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes
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Cited by 45 •
2012
Successful use of cell tracking dyes to monitor immune cell function and proliferation involves several critical steps. We describe methods for: 1) obtaining bright, uniform, reproducible label-ing with membrane dyes; 2) selecting fluorochromes and data acquisition conditions; and 3) choosing a model to quantify cell proliferation based on dye dilution.
07:16
Isolation of Cancer Stem Cells From Human Prostate Cancer Samples
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Cited by 6 •
2014
The isolation of cancer stem cells (CSCs) directly from human tissues is requisite for their biological characterization. This manuscript describes a methodology for the isolation of prostate CSCs from human tissues, while also providing tips on troubleshooting difficult steps.
07:29
Studying Pancreatic Cancer Stem Cell Characteristics for Developing New Treatment Strategies
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Cited by 27 •
2015
Pancreatic cancer stem cells (CSCs) can be expanded in vitro using the anchorage-independent sphere culture technique, which represents a powerful tool to study CSC biology and can serve as the first step to develop novel CSC-targeting therapies. Here the methodology for expanding, analyzing and targeting of pancreatic CSCs is provided.
09:22
Invasive Behavior of Human Breast Cancer Cells in Embryonic Zebrafish
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Cited by 44 •
2017
Here, we describe xenograft zebrafish models using two different injection sites, i.e., perivitelline space and duct of Cuvier, to investigate the invasive behavior and to assess the intravasation and extravasation potential of human breast cancer cells, respectively.
FAQs
These markers make otherwise difficult-to-follow cancer cells detectable during imaging. Fluorescent dyes and genetically encoded reporters provide signals that microscopy can capture, whereas bioluminescent markers support imaging of labeled cells. Selecting one of these approaches establishes the signal used to locate cells and compare their behavior across observations.
Repeated observations add a time dimension to cancer research. Rather than showing only where cells are at one moment, tracking can indicate whether they survive, move, or change as a tumor develops or treatment is administered. This temporal information helps relate cellular behavior to disease progression, treatment response, and drug resistance.
Tracking can be interpreted alongside the surrounding tissue and other cellular participants. In particular, it can help examine invasion, metastasis, and interactions between cancer cells and immune cells, while also showing changes in tumor composition. These linked observations help researchers study how local cellular behavior contributes to broader tumor progression.
Researchers first label cancer cells with fluorescent dyes, genetically encoded reporters, or bioluminescent markers. They then use microscopy or whole-body imaging to locate the labeled cells and monitor them over time. Finally, the resulting observations can be compared with tumor development, spread, cellular interactions, or treatment response.
Microscopy and whole-body imaging extend the analysis to different observational settings. Microscopy provides a route for examining labeled cells and their surrounding tissue, while whole-body imaging supports monitoring across the organism. This distinction allows researchers to connect cellular behavior with either local processes, such as invasion, or broader patterns of spread and progression.
By monitoring labeled cells during disease progression or treatment, researchers can relate survival, movement, and changes in tumor composition to treatment outcomes. This approach can reveal patterns associated with drug resistance and help evaluate how cancer cells respond to therapy. The resulting evidence supports the development of more targeted therapeutic strategies.