Invasion Measurement
Invasion Measurement - Related Videos
05:15
Impedance-Based Measurements of Brain Cancer Cell Invasion
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2025
Source: Mudduluru, G., et. al. Impedance-based Real-time Measurement of Cancer Cell Migration and Invasion. J. Vis. Exp. (2020)This video demonstrates an impedance-based assay to measure glioblastoma cell invasion and migration. Cells degrade the extracellular matrix, move through microporous membranes, and adhere to electrodes, generating impedance. This real-time analysis reflects their invasive potential for cancer research applications.
09:18
Spheroid Assay to Measure TGF-β-induced Invasion
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Cited by 41 •
2011
An assay to quantitatively measure Transforming Growth Factor (TGF)-β-induced invasion in 3-dimensional collagen gels is described. This assay takes advantage of the MCF10A series of cell lines, which represent different stages of breast cancer development. This method can be adopted to be used with other cell lines and might be used to investigate other potential activators or inhibitors of invasion.
11:39
Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants
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Cited by 49 •
2013
We combined frequency-domain near-infrared spectroscopy measures of cerebral hemoglobin oxygenation with diffuse correlation spectroscopy measures of cerebral blood flow index to estimate an index of oxygen metabolism. We tested the utility of this measure as a bedside screening tool to evaluate the health and development of the newborn brain.
08:51
A Real-time Electrical Impedance Based Technique to Measure Invasion of Endothelial Cell Monolayer by Cancer Cells
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Cited by 68 •
2011
This article describes an in vitro technique for monitoring cancer cells invading through a monolayer of endothelial cells. The data is acquired in real-time as a function of changes in impedance on the surface of electrodes at the well bottom.
10:16
Chick Heart Invasion Assay for Testing the Invasiveness of Cancer Cells and the Activity of Potentially Anti-invasive Compounds
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Cited by 4 •
2015
Here, we present a protocol to study the invasion of tumor cells into living normal tissue fragments in three dimensions. This organ culture technique is mainly applied to test potentially anti-invasive drugs in vitro.
FAQs
The coated barrier creates a defined challenge between the cell population and the destination side of the membrane. Cells that reach the opposite side must either degrade the extracellular matrix substitute or navigate through it, so the readout reflects behavior under a barrier rather than simple movement across an unobstructed surface. This distinction helps focus interpretation on invasive capacity.
Comparisons are most informative when the same measurement framework is applied to different cancer cell lines or experimental conditions. The resulting differences can reveal variation in invasive potential, while changes after a drug treatment or genetic alteration can indicate that the tested intervention affects behavior associated with metastasis. The assay therefore links a measurable phenotype to candidate regulatory factors.
Invasion measurement supports more than one quantitative readout: researchers can count cells that appear on the opposite side or measure the intensity of a signal associated with that population. Both approaches convert barrier crossing into a comparable result, allowing invasive behavior to be evaluated across cell lines, treatments, or genetic conditions when the same measurement approach is maintained.
A typical workflow places cancer cells near a porous membrane coated with an extracellular matrix substitute, allows invasive cells to interact with and cross the barrier, and then evaluates the cells that appear on the opposite side. Researchers can quantify that population by counting cells or measuring signal intensity, producing a result for comparison between experimental conditions.
Standardized measurements make results easier to compare across cell lines and experimental conditions. Consistent quantitative readouts help distinguish differences in invasive potential from differences caused by how the assay was assessed. This consistency is especially important when researchers examine molecular regulators, test genetic changes, or evaluate whether a drug alters tumor cell behavior.
This approach is useful for studying cancer dissemination, identifying molecular factors that regulate metastasis, and assessing how drugs or genetic changes affect tumor cell behavior. By converting barrier crossing into a quantitative outcome, it supports comparisons among experimental groups and contributes evidence for evaluating candidate therapeutic strategies aimed at limiting invasive behavior.