OMIP-105：30 色全谱系流式细胞仪面板，用于表征合成体 MC-38 小鼠结肠癌模型中脾脏和肿瘤中的免疫细胞状况。

IF 2.5 4区生物学 Q3 BIOCHEMICAL RESEARCH METHODS Cytometry Part A Pub Date : 2024-08-06 DOI:10.1002/cyto.a.24886

Gabriel DeNiro, Kathryn Que, Trevor Fujimoto, Soo Min Koo, Bridget Schneider, Anandaroop Mukhopadhyay, Jeong Kim, Anandi Sawant, Tuan Andrew Nguyen

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摘要

该面板旨在描述小鼠肿瘤微环境和小鼠淋巴组织（如脾脏）中的免疫细胞状况。例如，利用 MC-38 小鼠合成肿瘤模型，我们证明可以测量 CD4 T 细胞、CD8 T 细胞、调节性 T 细胞、NK 细胞、B 细胞、巨噬细胞、粒细胞、单核细胞和树突状细胞的频率和功能状态。该面板特别适用于了解免疫细胞浸润极低的 "冷 "临床前肿瘤模型的免疫状况，以及研究治疗方法如何调节免疫状况。

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OMIP-105: A 30-color full-spectrum flow cytometry panel to characterize the immune cell landscape in spleen and tumor within a syngeneic MC-38 murine colon carcinoma model

This panel was designed to characterize the immune cell landscape in the mouse tumor microenvironment as well as mouse lymphoid tissues (e.g., spleen). As an example, using the MC-38 mouse syngeneic tumor model, we demonstrated that we could measure the frequency and characterize the functional status of CD4 T cells, CD8 T cells, regulatory T cells, NK cells, B cells, macrophages, granulocytes, monocytes, and dendritic cells. This panel is especially useful for understanding the immune landscape in “cold” preclinical tumor models with very low immune cell infiltration and for investigating how therapeutic treatments may modulate the immune landscape.

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来源期刊

Cytometry Part A 生物-生化研究方法

CiteScore

8.10

自引率

13.50%

发文量

183

审稿时长

4-8 weeks

期刊介绍： Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques. The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.