Mda-mb231 Cells
Mda-mb231 Cells - Related Videos
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.
07:31
Testing the Vascular Invasive Ability of Cancer Cells in Zebrafish (Danio Rerio)
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Cited by 19 •
2016
This method utilizes zebrafish embryos to efficiently test the vascular invasive ability of cancer cells. Fluorescent cancer cells are injected into the precardiac sinus or yolk sac of developing embryos. Cancer cell vascular invasion and extravasation is assessed via fluorescence microscopy of the tail region 24 to 96 hr later.
03:33
Generating Conditional Knockdown Cells Using a Tetracycline-Responsive Lentiviral shRNA Expression System
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2026
Source: Kubala, M. H. & DeClerck, Y. A. Conditional Knockdown of Gene Expression in Cancer Cell Lines to Study the Recruitment of Monocytes/Macrophages to the Tumor Microenvironment. J. Vis. Exp. (2017)This video demonstrates the generation of conditional knockdown cancer cell lines using a Tet-inducible lentiviral shRNA system. It outlines the steps for viral transduction, antibiotic selection, and doxycycline-induced gene silencing.
15:53
Cell Death Associated with Abnormal Mitosis Observed by Confocal Imaging in Live Cancer Cells
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Cited by 13 •
2013
The cytotoxic activity of the phenanthridine PJ-34 in cancer cells undergoing mitosis was documented in real time by live confocal imaging. PJ-34 eradicated human breast cancer MDA-MB-231 cells harboring extra-centrosomes in mitosis. Unlike normal bi-focal mitosis, the extra-centrosomes were not clustered in the two spindle poles in the presence of PJ-34.
03:57
Preparation of Reporter-Expressing Cancer Cells for In Vivo Imaging
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2026
Source: Chen, H. et. al. Live Cell Imaging of the TGF-β/Smad3 Signaling Pathway In Vitro and In Vivo Using an Adenovirus Reporter System. J. Vis. Exp. (2018)This video demonstrates the preparation of luciferase-expressing breast cancer cells using recombinant adenoviruses for in vivo imaging.
FAQs
Their lack of estrogen receptor, progesterone receptor, and HER2 expression defines the biological context of experiments using this model. Researchers can therefore examine signaling, treatment responses, and tumor behavior without those receptor markers being present in the cells. This profile also helps interpret results when comparing findings with models that have different receptor characteristics.
Each assay addresses a different aspect of tumor biology. Viability measurements indicate how cells respond to a treatment, whereas migration and invasion assays examine movement-related behavior. Gene-expression analysis reveals changes in cellular programs associated with signaling or treatment. Using these readouts together can connect a treatment or condition with both functional outcomes and molecular responses.
Controlled nutrient, temperature, and gas conditions help maintain a consistent in vitro environment so that observed differences are more plausibly associated with the experimental treatment or comparison. Because cell behavior can be evaluated through viability, movement, invasion, and gene-expression assays, consistent culture conditions are important for making those measurements interpretable across experiments.
A study generally begins by maintaining the adherent cells under controlled culture conditions, then exposing them to the condition or treatment being investigated. Researchers next select assays that match the question, such as viability, migration, invasion, or gene-expression measurements, and interpret the results in relation to tumor biology, signaling, or treatment response.
This model is particularly useful when a study focuses on aggressive breast cancer biology, metastatic behavior, cancer-cell signaling, or responses to potential treatments. Its applications include testing how experimental conditions affect cell viability, movement, invasion, and gene expression. Findings can support preclinical research by identifying biological responses that merit investigation in additional models.
Results provide evidence about tumor-related behavior and treatment responses in a controlled in vitro system, but they do not represent every feature of cancer in patients. Researchers should treat the findings as preclinical information and validate them in additional models and patient-derived systems. This comparison is especially important for conclusions involving the tumor microenvironment or therapeutic relevance.