期刊
MICROORGANISMS
卷 11, 期 6, 页码 -出版社
MDPI
DOI: 10.3390/microorganisms11061548
关键词
humanization; humanized mouse model; xenograft; CD34; NSG; NCG; NOG-EXL; NSG-SGM3; lymphoid; myeloid
类别
Humanized mice are valuable for studying human diseases, but it is important to understand their strengths and limitations and choose the appropriate model. This study found that the Hu-SGM3 model consistently produced higher numbers of various human immune cells, while the hu-NOG-EXL model had a higher number of circulating platelets in an inactivated state. The hu-NSG and hu-NCG models had low frequencies of immune cells. Therefore, selecting the right humanized mouse model is crucial for specific research questions.
Humanized mice are an invaluable tool for investigating human diseases such as cancer, infectious diseases, and graft-versus-host disease (GvHD). However, it is crucial to understand the strengths and limitations of humanized mice and select the most appropriate model. In this study, we describe the development of the human lymphoid and myeloid lineages using a flow cytometric analysis in four humanized mouse models derived from NOD mice xenotransplanted with CD34(+) fetal cord blood from a single donor. Our results showed that all murine strains sustained human immune cells within a proinflammatory environment induced by GvHD. However, the Hu-SGM3 model consistently generated higher numbers of human T cells, monocytes, dendritic cells, mast cells, and megakaryocytes, and a low number of circulating platelets showing an activated profile when compared with the other murine strains. The hu-NOG-EXL model had a similar cell development profile but a higher number of circulating platelets with an inactivated state, and the hu-NSG and hu-NCG developed low frequencies of immune cells compared with the other models. Interestingly, only the hu-SGM3 and hu-EXL models developed mast cells. In conclusion, our findings highlight the importance of selecting the appropriate humanized mouse model for specific research questions, considering the strengths and limitations of each model and the immune cell populations of interest.
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