Syngeneic Ovarian Cancer Model Development
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Syngeneic Ovarian Cancer Model Development

The syngeneic ovarian cancer model is an experimental system that uses genetically identical mice injected with ovarian cancer cells to replicate the tumor microenvironment. Alfa Cytology specializes in developing these models, offering researchers customized syngeneic ovarian cancer models to facilitate precise studies of tumor biology and the evaluation of novel therapies.

Introduction to Syngeneic Ovarian Cancer Model

The syngeneic ovarian cancer model uses genetically identical mice to implant murine ovarian cancer cells, allowing study of tumor growth, progression, and tumor-host immune interactions within a consistent genetic background. Unlike xenograft models, syngeneic models retain an intact immune system, making them ideal for studying immune responses and escape mechanisms. This model is crucial for evaluating new immunotherapies and understanding natural tumor biology.

The process of constructing syngeneic cancer models.Fig.1 The process of constructing syngeneic cancer models. (LYUBETSKAYA A, et al., 2022)

Criteria for Cells/Tissues in Syngeneic Ovarian Cancer Model

Cell or tissue sources in the syngeneic ovarian cancer model must meet specific requirements and characteristics.

  • Genetic Background Consistency: Ensure donor and recipient mice share the same genetic background to prevent rejection.
  • Biological Stability: Transplanted cells/tissues should maintain original biological characteristics and genetic stability for accurate, reproducible results.
  • Availability: Selected cell lines or tissues should be easy to obtain, process, and preserve for experimental use.

Our Services

Alfa Cytology offers comprehensive syngeneic ovarian cancer model development services, encompassing everything from cell line selection to model evaluation. Our objective is to provide researchers with a reliable experimental platform that enables efficient ovarian cancer studies, facilitating the development of new therapies and a deeper understanding of tumor biology.

Workflow of Syngeneic Ovarian Cancer Model Development

Mouse Strain Selection

Select suitable syngeneic mouse lines based on research objectives and specific needs, ensuring their genetic background matches the target tumor cell line. This enhances the reliability and validity of the experiment.

Cell Line Acquisition and Culture

Obtain validated ovarian cancer cell lines and culture them under stringent aseptic conditions. Use standard culture media, changing it regularly to maintain cell activity and proliferation. Monitor cell morphology and growth to ensure stability and consistency.

Tumor Cell Injection and Monitoring

Prepare and dilute tumor cells for injection. Anesthetize mice, then inject cells intraperitoneally or subcutaneously. Regularly monitor tumor growth using ultrasound or computed tomography (CT), and record changes in volume, growth rate, and morphology.

Pharmacodynamic Analysis

Pharmacodynamic assays in ovarian cancer are designed to evaluate the effects of drugs on cancer cell growth and survival. These typically include cell proliferation assays (e.g., MTT or CCK-8), apoptosis assays (flow cytometry), cell cycle analyses, and migration and invasion assays (e.g., scratch or transwell assays).

Syngeneic Ovarian Cancer Model

  • ID8 Syngeneic Model: Suitable for studying tumor-host immune interactions and immune-based therapies.
  • MOC (Mouse Ovarian Cancer) Models: MOC1 and MOC2 cell lines derived from genetically engineered mouse models. Enables the investigation of genetic modifications on tumor growth and immune modulation.

With accumulated extensive experience in the development of syngeneic ovarian cancer models and, Alfa Cytology provides you with comprehensive experimental support and assistance. If you have any questions or need further information, please feel free to contact us; we are here to help.

Reference

  1. LYUBETSKAYA A, RABE B, FISHER A, et al. Assessment of spatial transcriptomics for oncology discovery [J]. Cell Rep Methods, 2022, 2(11): 100340.

! For research use only.