Differences in whole kidneys and renal F4/80+ macrophages in mice with the major and minor allele of the rs3184504 polymorphism after hypertension induction
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ABSTRACT: To determine differences in kidney and renal F4/80+ macrophage gene expression between mice homozygous for the Arg-encoding versus the Trp-encoding rs3184504 polymorphism after 4 weeks of angiotensin II infusion.
Project description:Measure the effect of TCRβ expression on the transcriptional profile of CD11bhighCD14+F4/80+ macrophages sorted from mouse spleen on day 6 post-infection with Plasmodium berghei ANKA malaria
Project description:Differences in whole kidneys and renal F4/80+ macrophages in mice with the major and minor allele of the rs3184504 polymorphism after hypertension induction
Project description: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 profiling of inflammatory chemokines, cytokines and receptors in AUTOMACS sorted F4/80+ and CD11c+ cells from lungs of 6-12 week old wild-type C3H/HeN mice before and after 14-day Mycoplasma pulmonis infection RNA pooled from pulmonary F4/80+ & CD11c+ cells of each group- Uninfected and Infected; Experiment performed twice. Comparison-RNA expression within each population of cells in Mycoplasma infected vs. uninfected mice
Project description:The objective of this study was to characterise macrophage subsets in bone marrow (BM) isolated from Csf1r-EGFP mice. A concurrent imaging flow cytometry study conducted by our team unexpectedly revealed macrophage surface marker staining emanates from membrane-bound subcellular remnants associated with unrelated cells. Expression data from sorted BM “macrophage” populations was found to be consistent with macrophage fragments associated with non-macrophage cells. Granulocyte-specific genes were enriched within the CD11b+ “macrophage” (CD11b+F4/80+Ly6G-GFPloVCAM1+) populations, whereas CD11b- “macrophages” (CD11b-F4/80+GFP+VCAM1+) were consistent with a mixed cell population including both plasma cells and erythroblasts. This data demonstrates how fragmentation of hematopoietic tissue macrophages can result in misattribution of macrophage identity to non-macrophage populations, thereby undermining accuracy of macrophage ex vivo molecular profiles.
Project description:The goals of this study aim to reveal functional and phenotypic diversity of Spleenic Macrophage subpopulations identified by Ly6c and F4/80 in response to the microenvironmental cues in mouse T cell acute lymphoblastic leukemia