Literature DB >> 34389631

Characterizing Macrophage Diversity in Metastasis-Bearing Lungs Reveals a Lipid-Associated Macrophage Subset.

Danielle N Huggins1, Rebecca S LaRue2, Ying Wang1, Todd P Knutson2, Yingzheng Xu3, Jesse W Williams3,4, Kathryn L Schwertfeger5,4,6.   

Abstract

While macrophages are among the most abundant immune cell type found within primary and metastatic mammary tumors, how their complexity and heterogeneity change with metastatic progression remains unknown. Here, macrophages were isolated from the lungs of mice bearing orthotopic mammary tumors for single-cell RNA sequencing (scRNA-seq). Seven distinct macrophage clusters were identified, including populations exhibiting enhanced differential expression of genes related to antigen presentation (H2-Aa, Cd74), cell cycle (Stmn1, Cdk1), and interferon signaling (Isg15, Ifitm3). Interestingly, one cluster demonstrated a profile concordant with lipid-associated macrophages (Lgals3, Trem2). Compared with nontumor-bearing controls, the number of these cells per gram of tissue was significantly increased in lungs from tumor-bearing mice, with the vast majority costaining positively with the alveolar macrophage marker Siglec-F. Enrichment of genes implicated in pathways related to lipid metabolism as well extracellular matrix remodeling and immunosuppression was observed. In addition, these cells displayed reduced capacity for phagocytosis. Collectively, these findings highlight the diversity of macrophages present within metastatic lesions and characterize a lipid-associated macrophage subset previously unidentified in lung metastases. SIGNIFICANCE: scRNA-seq of macrophages isolated from lung metastases reveals extensive macrophage heterogeneity and identifies a novel subpopulation enriched for genes involved in lipid metabolism, extracellular matrix remodeling, and immunosuppression. ©2021 American Association for Cancer Research.

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Year:  2021        PMID: 34389631      PMCID: PMC8530952          DOI: 10.1158/0008-5472.CAN-21-0101

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  56 in total

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Authors:  Peishan Li; Ming Lu; Jiayuan Shi; Zheng Gong; Li Hua; Qing Li; Bora Lim; Xiang H-F Zhang; Xiaowen Chen; Sheng Li; Leonard D Shultz; Guangwen Ren
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Review 7.  Impact of single-cell RNA sequencing on understanding immune regulation.

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  8 in total

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