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Tumor Transplantation for Assessing the Dynamics of Tumor-Infiltrating CD8+ T Cells in Mice
Published on: June 12, 2021
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Longitudinal tracking of T cell lymphomas in mice using flow cytometry
Elizabeth A Kuczynski1, Larissa Carnevalli1, Charles Sinclair2
1AstraZeneca, Cambridge CB2 0AA, UK.
STAR Protocols
|March 11, 2023
Summary
This study introduces a flow cytometry protocol to distinguish T cell lymphoma cancer cells from host immune cells in mice. This method aids in analyzing cancer and immune cell phenotypes after transplantation.
Area of Science:
- Immunology
- Hematology
- Cancer Research
Background:
- T cell hematological cancers involve complex interactions with host immune cells.
- Distinguishing transplanted cancer cells from host cells using flow cytometry is technically difficult.
- Congenic markers are crucial for differentiating cell populations in transplantation studies.
Purpose of the Study:
- To present a reliable flow cytometry protocol for evaluating cancer cell and host immune phenotypes.
- To enable experimental discrimination of T cell lymphoma cells from host immune cells post-transplantation.
- To provide a detailed method for analyzing immune responses in hematological cancer models.
Main Methods:
- Isolation of primary immune cells from mice.
- Staining of cells using flow cytometry antibody cocktails with congenic markers (CD45.1 and CD45.2).
- Analysis of immune cell populations and cancer cell phenotypes via flow cytometry.
Main Results:
- Successful differentiation of transplanted T cell lymphoma cells (CD45.2) from syngeneic host immune cells (CD45.1).
- Detailed protocol steps for cell isolation, staining, and flow cytometric analysis.
- Enables quantitative assessment of cancer cell burden and host immune response.
Conclusions:
- The developed flow cytometry protocol effectively distinguishes cancer cells from host immune cells.
- This method facilitates robust analysis of immune cell phenotypes in T cell lymphoma models.
- The protocol is essential for advancing research in T cell hematological cancers and immune interplay.

