Xenograft Model
Xenograft Model - Related Videos
03:21
Zebrafish Patient-Derived Xenograft (zPDX): A Cancer Model
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2023
This video describes the technique to create a zebrafish patient derived xenograft model. In the sample protocol, we assess the efficiency of the drugs Gemcitabine and Navitoclax on the pancreatic tumor xenograft model.
03:16
Patient-derived Xenograft Modeling: A Technique to Generate Melanoma Mouse Models
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2023
In this video, human-derived melanoma cells are implanted subcutaneously into the flank region of an immunocompromised mouse. The PDX model allows preclinical investigation of melanoma cells that better recapitulate the tumor heterogeneity and melanoma aggressiveness observed in in vivo conditions.
02:26
A Technique to Generate a Human PBMC-Engrafted Humanized Xenograft Mouse Model
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2025
This video demonstrates an assay to generate a humanized xenograft mouse model. An immunocompromised mouse is injected with cyclophosphamide to cause immune cell depletion. Patient-derived tumor cells mixed with human peripheral blood mononuclear cells (PBMCs) in a hydrogel are subcutaneously injected into the mouse, forming a tumor with infiltrating T cells.
12:44
The In ovo CAM-assay as a Xenograft Model for Sarcoma
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Cited by 64 •
2013
The in ovo chorioallantoic membrane (CAM) is grafted with fresh sarcoma-derived tumor tissues, their single cell suspensions, and permanent and transient fluorescently labeled established sarcoma cell lines. The model is used to study graft- (viability, Ki67 proliferation index, necrosis, infiltration) and host (fibroblast infiltration, vascular ingrowth) behavior.
10:52
Tumor Engraftment in a Xenograft Mouse Model of Human Mantle Cell Lymphoma
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Cited by 1 •
2018
Mantle cell lymphoma (MCL) is a difficult to treat B cell disorder and it is equally difficult to establish a xenograft mouse model of primary MCL to study and develop therapeutics. Here, we describe the successful establishment of MCL xenografts in mice to help understand its underlying biology.
FAQs
Reduced immune rejection allows transplanted cells or tissues from another species to establish within the host, where they can grow and interact with surrounding tissues. This condition is especially important for human tumor material, because an active immune response could eliminate the graft before researchers assess its development, behavior, or response to treatment.
The implanted human cells or tissue retain some characteristics of the original material, allowing researchers to examine disease-related behavior in a living organism. At the same time, the graft develops within a host of another species, so species-specific differences can affect its interactions and must be considered when interpreting experimental findings.
Following graft establishment and growth, researchers can examine tumor development and metastasis, meaning the spread of tumor cells to other sites. These observations provide information about how transplanted material behaves in vivo and help connect cellular or tissue-level properties with disease progression in an organism rather than in an isolated experimental system.
A typical workflow begins with implanting cells, tissue, or another graft from one species into a host of a different species. Researchers then allow the graft to establish and grow, observe its interaction with host tissues, and assess disease behavior or treatment response. The exact workflow depends on the biological question and the transplanted material.
Researchers use this approach when they need to assess drug efficacy or therapeutic targets in a living system containing human tumor cells or tissue. Measuring how the graft develops and responds after treatment can reveal effects that are not evident from the original material alone, supporting evaluation of treatment performance before further model development.
Results may not fully reproduce human disease because the graft develops in a different species and within a host whose immune rejection is reduced. Although the original human material can retain important features, species-specific interactions and the model’s immune context may limit prediction of treatment outcomes, making these systems useful for identifying limitations and guiding more predictive models.