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. 2021 Dec:499:113158.
doi: 10.1016/j.jim.2021.113158. Epub 2021 Sep 29.

Broad immunophenotyping of the murine brain tumor microenvironment

Affiliations

Broad immunophenotyping of the murine brain tumor microenvironment

W H Tomaszewski et al. J Immunol Methods. 2021 Dec.

Abstract

Here we present a 14-color flow cytometry panel for the evaluation of 13 myeloid and lymphoid populations within murine glioblastoma samples. Reagents, processing protocols, and downstream analyses were thoroughly validated and optimized to resolve the following populations: T cells (CD4, CD8, CD3), B cells (B220), NK cells (NK1.1), neutrophils (Ly6G), classical and non-classical monocytes (Ly6c, CD43), macrophages (F4/80, CD11b), microglia (CD45-lo, CD11b), and dendritic cells (DCs) (CD11c, MHC class II). In addition, this panel leaves Alexa Fluor 488/FITC open for the inclusion of fluorescent reporters or congenic marker staining.

Keywords: Glioblastoma; Multicolor flow cytometry; Preclinical; Tumor microenvironment; Unbiased cell classification.

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Figures

Figure 1 -
Figure 1 -
Graphical summary of unbiased cell type identification workflow
Figure 2 -
Figure 2 -
Representative gating strategy and tumor immune infiltrate analysis. (A) Singlets are defined, followed by leukocytes, and then lymphocytes and myeloid cells are separated. (B) Lymphocyte gating strategy. (C) Myeloid gating strategy. (D) Summary of tumor immune infiltrate from n = 5 mice. Results are representative of 2 experimental repeats.
Figure 3 -
Figure 3 -
Representative UMAP clustering results and unbiased tumor immune infiltrate analysis. (A) UMAP projection of CD45+ Live/Dead− cells from n=5 mice. (B) Heatmap of antigen targets included in the panel to guide cluster annotation. (C) Lineage markers projected into UMAP space. (D) Summary of tumor immune infiltrate from n = 5 mice. Results are representative of 2 experimental repeats.

References

    1. Stupp R, et al. , Effect of Tumor-Treating Fields Plus Maintenance Temozolomide vs Maintenance Temozolomide Alone on Survival in Patients With Glioblastoma: A Randomized Clinical Trial. Jama, 2017. 318(23): p. 2306–2316. - PMC - PubMed
    1. Reardon DA, et al. , Effect of Nivolumab vs Bevacizumab in Patients With Recurrent Glioblastoma: The CheckMate 143 Phase 3 Randomized Clinical Trial. JAMA Oncology, 2020. 6(7): p. 1003–1010. - PMC - PubMed
    1. Quail DF and Joyce JA, The Microenvironmental Landscape of Brain Tumors. Cancer Cell, 2017. 31(3): p. 326–341. - PMC - PubMed
    1. Cloughesy TF, et al. , Neoadjuvant anti-PD-1 immunotherapy promotes a survival benefit with intratumoral and systemic immune responses in recurrent glioblastoma. Nature Medicine, 2019. 25(3): p. 477–486. - PMC - PubMed
    1. Levine Jacob H., et al. , Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis. Cell, 2015. 162(1): p. 184–197. - PMC - PubMed

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