Dynamic differentiation of F4/80+ tumor-associated macrophage and its role in tumor vascularization in a syngeneic mouse model of colorectal liver metastasis
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ABSTRACT: Tumor-associated macrophages (TAMs) are highly heterogeneous, derived from myeloid monocyte/macrophages or tissue-resident macrophages, and play vital role in tumor progression. Here we adopted a C57BL/6 mouse model imitating the late-stage colorectal liver metastasis (CRLM) by Mc38 colorectal cancer cell injection via the portal vein. We defined the critical period at 7 to 9 days post injection (dpi) for tumor neovascularization on serial sections of CRLM biopsies. The tumor neovascularization was initiated from one of the liver blood vessels via vessel cooption and extended by vascular mimicry and growth of CD34+cells. In samples with increasing sized liver metastases of CRLM, infiltrated Ly6C+ CD11b+ F4/80 monocytes steadily gained the expression of F4/80, a Kupffer cell marker, and then transformed into Ly6C CD11bint F4/80+ cells, which, the same phenotype was also adapted by Ly6C CD11b F4/80+ Kupffer cells. F4/80+ TAMs showed proximity to neovascularization and tumor vessels. Depletion of macrophages or disturbance on macrophage polarization during the crucial period of neovascularization impeded tumor growth and vascularization and resulted in greatly reduced F4/80+ TAMs, yet increased CD11b+ cells due to inhibition of TAM differentiation. In summary, we showed dynamic F4/80+ TAM differentiation within the tumor microenvironment and strengthened its role as perivascular TAMs in CRLM. A set of aliquot samples (about 0.25 cm3) from for flow cytometry preparations (the above method and Fig. 4A) were used for bulk RNA-Sequencing, among these samples, Ht1 and Ht3 were identical samples; F4/80+cells and CD11b+ cells were selected from medium-sized CRLM (Mt2) with microbeads and MS column;A total of 20 samples were sent for analysis. These collected tissues were flash-frozen in liquid nitrogen, stored at - 80°C and shipped on dry ice to the sequencing provider (Novogene, www.novogene.com), who then extracted RNA from these samples and confirmed that all sample RNA were in good quality and adequate concentrations. The resulted RNA-Sequencing data were verified as the clean reads > 95%, Q30 > 90%, and error rate < 0.05%; Square of Pearson Correlation Coefficient (R2) between the biological replicates was > 0.89; R2 of the identical samples (Ht-1 and Ht-3) was > 0.98.
Project description:RNA-sequencing was performed on sorted tumor-associated macrophages (CD45+7AAD-CD11b+F4/80+CD8-Ly6C-Ly6G-) from 4T1 tumor (murine breast cancer) bearig mice with or without JHU083, pro-drug of 6-Diazo-5-oxo-L-norleucine (glutamine antagonist) treatment for expression profiling
Project description:Tumor associated macrophages show signs of both, classical pro-inflammatory as well as alternative macrophage activation. The aim of this study was to compare TAMs across tumor types, to characterize their phenotype in detail and to identify the signaling nodules involved regulating classical and alternative activation traits. To identify gene expression profiles and pathways differentially activated in tumor-associated macrophages (TAMs) we isolated TAMs from in vivo animal models of EG7 thymoma (n=3), glioma (n=3) and neuroblastoma (n=3) by tumor digestion and subsequent enrichment of CD11b+ cells using Miltenyi magnetic beads. Thymomas grown in WT or Myd88-/- mice (n=5 per group) were used to identify TLR/IL1R dependent signaling in TAMs. RNA extracted from CD11b+ TAMs was analyzed using the Affymetrx HT_MG-430_PM arrays. For in-depth analysis of the role of inflammatory signaling by TNFR1 (Tnfrsf1a) and/or Myd88, EG7 TAM populations A (CD11b+, Ly6G-, Ly6C+, MHCII-) and C (CD11b+, Ly6C-, MHCII+) were isolated by flow cytometric sorting from WT, TNFR1-/-, Myd88flox/flox; Tie2-Cre and TNFR-/-; Myd88flox/flox; Tie2-cre mice and extracted RNA was analyzed by microarray using the Mouse Gene 2.0 GeneChip arrays (n=2 per genotype and population).
Project description:RNA-seq analysis of cardiac, renal, and liver macrophages. CD11b+F4/80+Ly6C-Ly6G- tissue resident macrophages were isolated from the heart, kidney, and liver of mice. Isolated RNA was subjected to RNA-seq to identify differentially expressed transcripts.
Project description:To better understand the impact of integrin beta3 signaling in myeloid cells on the tumor microenvironment, we compared the gene expression profiles of FACS isolated GFP+ PyMT-BO1 MFP tumor cells and also M2 TAMs (CD11b+Gr1-F4/80+CD206+) from tumor tissue of WT mice and b3ÎÎÎ mice. PyMT-BO1-GFP-Luc tumor cells (100,000) were injected into mammary fat pad (MFP) tissue from WT and b3KOM mice. PyMT-BO1-GFP-Luc cells and CD206hi tumor-associated macrophages (TAMs) were FACS-sorted from day 10 MFP tumor tissue. FACS-sorted cells directly used for RNA extraction and hybridization on Affymetrix microarrays.
Project description:Genes expression in Ly6C+/F4/80+ inflammatory macrophages, CX3CR1+/F4/80+ tissue resident macrophages and Ly6G+/F4/80- neutrophils which were isolated from day 3 wounds in C57/B6 mice aged 8 weeks by cell sorting Ly6C+ macrophages expressed higher (over 5 folds) levels of 241 genes compared to CX3CR1+ macrophages, and 3382 genes compared to neutrophils
Project description:Mice brain at different age were digested and cell suspension were prepared. Cells were stained using anti-CD45, F4/80, CD11b and Ly6C and sorted using an cell sorter BD ARIA. Macrophages were then prepared in order to perform single cell RNA-Seq
Project description:Genes expression in Ly6C+/F4/80+ inflammatory macrophages, CX3CR1+/F4/80+ tissue resident macrophages and Ly6G+/F4/80- neutrophils which were isolated from day 3 wounds in C57/B6 mice aged 8 weeks by cell sorting
Project description:Splenic red pulp macrophages (RPM) degrade senescent erythrocytes and recycle heme-associated iron. The transcription factor Spic is selectively expressed by RPM and is required for their development, but the physiologic stimulus inducing Spic is unknown. Here, we report that Spic also regulated the development of F4/80+VCAM+ bone marrow macrophages (BMM) and that Spic expression in BMM and RPM development was induced by heme, a metabolite of erythrocyte degradation. Pathologic hemolysis induced loss of RPM and BMM due to excess heme but induced Spic in monocytes to generate new RPM and BMM. Spic expression in monocytes was constitutively inhibited by the transcriptional repressor Bach1. Heme induced proteasome-dependent BACH1 degradation and rapid Spic derepression. Further, cysteine-proline dipeptide motifs in BACH1 that mediate heme-dependent degradation were necessary for Spic induction by heme. These findings are the first example of metabolite-driven differentiation of a tissue-resident macrophage subset and provide new insight into iron homeostasis. Global gene expression pattern of Spic+ monocytes, Spic- monocytes, and Spic high red pulp macrophages were compared by sorting these cells from Spic(igfp/+) splenocytes and performing microarray-based gene expression profiling. Splenocytes were prepared from Spic(igfp/+) mice and were first negatively selected for CD4, CD8, and B220 by MACS (Miltenyi Biotech) purification using the respective microbeads. Negatively selected splenocytes were then stained with anti-CD11b and anti-Ly6c and sorted for Spic+ monocytes (CD11b+Ly6c+Spic+) and Spic- monocytes (CD11b+Ly6c+Spic-). Purified RPM were obtained by staining splenocytes with anti-F4/80 and sorting for F4/80 hi Spic-EGFP hi cells.
Project description:To better understand the impact of integrin beta3 signaling in myeloid cells on the tumor microenvironment, we compared the gene expression profiles of FACS isolated GFP+ PyMT-BO1 MFP tumor cells and also M2 TAMs (CD11b+Gr1-F4/80+CD206+) from tumor tissue of WT mice and b3ΚΟΜ mice.
Project description:To determine differential metabolic gene expression in distinct cell populations from subcutaneous MC38 tumors at baseline and in response to rapamycin, tumors from mice treated with vehicle or rapamycin were harvested, reconstituted to single cell suspensions, and flow sorted into cancer cell (CD45-), tumor-associated macrophage (TAM, CD45+ CD11b+ Ly6G- Ly6C lo F4/80 hi), monocytic myeloid-derived suppressor cell (M-MDSC, CD45+ CD11b+ Ly6G- Ly6C hi), CD8 T cell (CD45+ CD3+ CD8a+), and CD4 T cell (CD45+ CD3+ CD8a-) populations. RNA was extracted and transcripts were quantified by the NanoString nCounter Metabolic Pathways Panel.