Gene expression data from murine M1 and M2 macrophages
ABSTRACT: Macrophages have distinct characteristics depending on their microenvironment. We performed proteomic analysis between M1 and M2 macrophages and found that cellular metabolism is the key regulator of macrophage function. We used microarray to support proteomic data between M1 and M2 macrophages. M1 macrophages are obtained using cell sorting of CD45+MHCII+CD8a-F4/80+ population from C57BL/6J bone marrow cell derived heterogenous cells under GM-CSF conditioning for 7 days. M2 macrophages are differentiated with 20% L929 cell supernatant for 7 days and sorted from CD45+F4/80+CD11b+ population.
Project description:Macrophages have distinct characteristics depending on their microenvironment. We performed proteomic analysis between M1 and M2 macrophages and found that cellular metabolism is the key regulator of macrophage function. We used microarray to support proteomic data between M1 and M2 macrophages. Overall design: M1 macrophages are obtained using cell sorting of CD45+MHCII+CD8a-F4/80+ population from C57BL/6J bone marrow cell derived heterogenous cells under GM-CSF conditioning for 7 days. M2 macrophages are differentiated with 20% L929 cell supernatant for 7 days and sorted from CD45+F4/80+CD11b+ population.
Project description:The aim of this study was to characterize the stroma displayed by different models of breast cancer tumors in mice. For this purpose, transcriptomic and flow cytometry analyses on murine populations were performed in a series of 25 PDXs and 2 most commonly used GEMs (MMTV-PyMT and MMTV-erBb2). Specifically, macrophages from 5 models were sorted and profiled by gene expression and phenotypically characterized by flow cytometry. Composition of hematopoietic cells, mainly macrophages and granulocytes, varied tumor from tumor. Macrophages were shown to display specific polarization phenotype related to M1/M2 classification and associated with genes implicated in recruitment, invasion and metastasis processes. The heterogeneity of stroma component of the studied models suggests that tumor cells educate their microenvironment to fulfill their needs. This observation therefore supports the relevance of such models for preclinical study purposes. Overall design: Macrophage/monocyte-like cells (EpCAM-CD45+F4/80+) were sorted on a FACS
Project description:Analysis of the effects of CNI-1493 treatment on M1 and M2 polarized macrophages. The purpose of this microarray is to identify genes that may be differentially expressed in M1 or M2 macrophages after treatment with CNI-1493. CNI-1493 is a known inhibitor of M1 macrophages but details of its molecular mechanism are unknown. The effect of CNI-1493 on M2 macrophages has yet to be explored, but we hypothesize that CNI-1493 treatment will attenuate pro-tumor properties of M2 macrophages. We demonstrate with this array that known macrophage markers are unchanged after treatment with CNI-1493, indicating that CNI-1493 does not change the macrophage phenotype on a transcriptional level. Additionally, no candidate genes to suggest how CNI-1493 may attenuate the pro-tumor effects of M2 macrophages are readily identifiable. Total RNA extracted from M1 or M2 macrophages after polarization with GM-CSF (25ng/ml) or M-CSF (25ng/ml) for 7 days, followed by addition of IFN-γ (20ng/ml) and LPS (100ng/ml) or IL-4 (40ng/ml) for 18 hours, respectively, from CD14+ human PBMCs, and treated with CNI-1493 (200nM)
Project description:Using fluorescence activated cell sorting, we isolated CD45+, CSF1R-GFP+, F4/80+, Ly6G- mouse lung monocytes and macrophages at 7 days after pneumonectomy procedure. We then used microfluidic single cell RNA-sequencing to transcriptional profile unique myeloid subsets. Using the pneumonectomy dataset, we identified 6 cell groups and 4 gene groups that marked several regenerative macrophage subsets including CCR2+, Ly6C+ monocytes and CD206+, Chil3+ M2-like macrophages. Overall design: individual macrophages 7 days post-pneumonectomy in a B6 CSF1R-GFP mouse
Project description:Beside their role in conventional immune regulation, macrophages are now recognised as essential regulator of local tissue homeostasis depending on the tissue in which they reside. Using phenotyping, we found that LYVE-1+ macrophages are the major resident macrophage population in murine aorta and adipose tissues under steady state. Furthermore, imaging analysis revealed the exclusive association of adipose tissue LYVE-1+ macrophages with smooth muscle positive large blood vessels. Hence, we hypothesize that LYVE-1+ macrophages sustain large vessel functional homeostasis. The present experiment aims to better characterize resident LYVE-1+ vs LYVE-1- macrophages in aorta and adipose tissues. Overall design: LYVE-1+ and LYVE-1- aortic macrophages were FACS sorted as DAPI-CD45+CD64+MerTK+CD11b+F4/80+LYVE-1+ and DAPI-CD45+CD64+MerTK+CD11b+F4/80+LYVE-1- respectively from 30 adult C57/BL6 mice (n =3) their RNA extracted for transcriptome profiling. Similarly, LYVE-1+ and LYVE-1- adipose tissue macrophages were FACS sorted as DAPI-CD45+CD64+MerTK+CD11b+F4/80+LYVE-1+ and DAPI-CD45+CD64+MerTK+CD11b+F4/80+LYVE-1- respectively from 20 adult C57/BL6 epididymal and subcutaneous adipose tissue (n =3) their RNA extracted for transcriptome profiling.
Project description:Recent studies suggest the presence of both “classically activated” M1 and “alternatively activated” M2 macrophages in human atherosclerotic tissue, yet due to the lack of validated markers the reported localization patterns of these macrophage phenotypes within plaques are ambiguous. In the present study, we searched for markers that indisputably can identify differentiated M1 and M2 macrophages independently of stimuli that affect the activation status of the two subpopulations. We used these validated markers to assess the presence of M1 and M2 macrophages in different zones of human carotid artery atherosclerotic plaques obtained from 12 patients. Using microarray and qPCR technology we show that the frequently used macrophage subpopulation markers MCP-1 and CD206 do not discriminate between M1 and M2 macrophages. However, we confirm the subtype specificity of the classical M2 marker CD163 and we report that the genes INHBA and DSP (both M1) and SEPP1 and MARCKS (both M2) are highly suitable for macrophage phenotyping. mRNA expression of the pan-macrophage marker CD68 in the shoulder zones of the plaques and in adjacent tissue segments correlated positively with mRNA expression levels of SEPP1, MARCKS and CD163 (r=0.86, 0.94 and 0.96, and r= 0.86, 0.98 and 0.69, respectively) but not with the expression of the M1 markers DSP and INHBA. In contrast, mRNA expression of CD68 in the core of the plaques correlated positively with expression of DSP and INHBA (r=0.73 and 0.49) but not with SEPP1, MARCKS and CD163. These findings suggest that M1 macrophages predominate in the core of human carotid atherosclerotic plaques while M2 macrophages prevail at the periphery of the plaque. Keywords: Expression profiling by array Monocytes from healthy volunteers were differentiated into M1 and M2 macrophages by incubation with granulocyte-macrophage colony-stimulating factor (GM-CSF) or macrophage colony-stimulating factor (M-CSF), respectively. After 5 days cells were exposed to oxidized LDL. Total RNA was isolated and subjected to gene expression profiling.
Project description:Myocardial infarction (MI) causes sterile inflammation, which is characterized by recruitment and activation of innate and adaptive immune system cells. We have delineated the temporal dynamics of immune cell accumulation following MI by flow cytometry. Macrophages were numerically the predominant cells infiltrating the infarcted myocardium, increasing in number over the first week post-MI. Macrophages are functionally heterogeneous, and can be classified into M1 and M2 macrophages, respectively, based on surface-marker expression. M1 macrophages dominated at 1-3 days post-MI, whereas M2 macrophages represented the predominant macrophage subset after 5 days. We used microarrays to examine the gene expression profiles of the macrophages sorted from the hearts at different timepoints after MI. We identified the kinetics of gene expression of cardiac macrophage after MI. Overall design: To examine the expression profile of cardiac macrophages after MI, CD11b+F4/80+Ly-6G- macrophages were sorted and pooled from the hearts (Sham operation, Day1 after MI, Day3 after MI, Day7 after MI, Day14 after MI), followed by RNA extraction and microarrays.
Project description:p53 is critically important in preventing oncogenesis but its role in non-cancer biology remains unclear. Macrophages exist as two subtypes (M1 and M2). Nutlin-3a (p53 activator) inhibits M2 gene expression and phenotype. p53 acts by suppressing transcription of c-Myc and thence regulates expression of a subset of M2 markers. This work has implications for our understanding of the mechanisms that regulate plasticity of macrophages in health and disease. We used microarrays to study the global programme of gene expression in nutlin-3a and 10058F4 (C-myc inhibitor) treated polarised mouse macrophages 5 groups of cultured mouse macrophages: (i) M0 (untreated), (ii) M1, (iii) M2, (iv) M2+nutlin-3a, (v) M2+MYC inhibitor (10058F4). 3 biological replicates per treatment group.
Project description:Granulocyte-Macrophage colony stimulating factor (GM-CSF) devlops heterogenous myeloid cell populations from bone marrow progenitor cells. In vitro generated bone marrow derived cells are excellent sources for obtaining dendritic cells or macrophages, but it is still not clear about the exact mixed population characteristics of GM-CSF grown cells. We revealed here that GM-CSF grown bone marrow cell derived attaching cells were composed of dendritic cells (GM-BMDC) as well as macrophages (GM-BMM). We compared the transcriptome profiles of these cell populations as well as M-CSF grown bone marrow derived macrophages (M-BMM). We used microarrays to detail the global profile of gene expressions between three populations of CSF-grown bone marrow derived cells: GM-CSF derived dendritic cells (GM-BMDC), GM-CSF derived macrophages (GM-BMM) and M-CSF derived macrophages (M-BMM). Bone marrow cells were differentiated for 7 days with 25 ng/ml GM-CSF or 20% L cell conditioned media as a M-CSF supplier. GM-BMDCs were sorted from MHCIIhighF4/80low population and GM-BMMs were sorted in the MHCIIlowF4/80high population. M-BMMs were sorted from CD11b+F4/80+ population.
Project description:There is a unique histological structure termed hepatic crown-like structure (hCLS), in which CD11c-positive macrophages surround dead or dying hepatocytes with large lipid droplets in NASH livers. To characterize gene expression patterns, we performed microarray analysis using hepatic resident macrophages. CD11c-positive macrophages exhibited distinct polarization profiles from typical M1 and M2 macrophages, and there were clear differences in the gene expression profiles from CD11c-negative macrophages. Overall design: F4/80 highly expressed resident macrophages were sorted based on the expression levels of CD11c from the livers of wildtype mice fed standard diet (SD) (CD11c-negative) and MC4R-KO mice fed Western diet (WD) for 20 weeks (CD11c-negative and positive).