Single cell RNA sequencing of in vitro generated monocyte-derived macrophage subsets
Ontology highlight
ABSTRACT: Analysis of three subsets of monocyte-derived macrophage generated using various differentiation cocktails: M1 (IFN-γ+LPS), M2a (IL-4+IL-13) and M2c (IL-10).
Project description:The study aimed to investigate the impact of TRAIL on primary human M1, M2a and M2c macrophage polarization. Primary human monocyte-derived macrophages were pre-stimulated with TRAIL and then either left unpolarized (M0) or polarized into M1, M2a, or M2c phenotypes Then, RNA sequencing analysis was performed in 4 healthy donors including treated and control groups for one time point to analyze the differentially expressed M1 and M2 markers in TRAIL treated vs control groups.
Project description:Macrophage activation is the main immunological process occurring during the development of several diseases, and the heterogeneity of macrophage activation or differentiation has been suggested to be involved in disease progression. In the present study, we attempted to identify molecules specifically expressed on human classically activated macrophages (M1) to investigate the significance of the M1-like phenotype in human diseases. Human monocyte-derived macrophages were differentiated into M1, M2a, M2b, and M2c phenotypes, and gene expression profiles were analyzed by cDNA microarray analysis and were used for bioinformatics examination. The gene expression profiles of murine macrophages were additionally evaluated. We identified guanylate-binding protein 5 (GBP5), which is associated with leucine-rich repeat protein 3-mediated inflammasome assembly in the M1 macrophages of both humans and mice. Notably, GBP5 protein expression was detected in cultured M1 macrophages by Western blot analysis. GBP5 is a useful candidate marker of the M1 phenotype. CD14+ monocytes from human PBMC were cultured with GM-CSF(10 ng mLâ1) or M-CSF (50 ng mLâ1) for seven days to differentiate into macrophages.To induce macrophage subtypes [M1, M1(-), M2a, M2b, and M2c], the macrophages were further stimulated for 24 h with LPS (10 ng mLâ1) + IFN-γ (50 ng mLâ1), IFN-γ (50 ng mLâ1), IL-4 (10 ng mLâ1), IL-1β (10 ng mLâ1), and IL-10 (10 ng mLâ1). Control macrophages (M0) were prepared by incubating for 24 h without additional factors.Two independent experiments were performed using different donors.
Project description:microRNAs are small non-coding RNAs that regulate gene expression at a post-translational level, and play a crucial role in the development of cells of the immune system. Macrophages are essential for generating inflammatory reactions upon tissue damage and encountering of invading pathogens, yet modulation of their immune responses is critical for maintaining tissue homeostasis. Macrophages can present different phenotypes, depending on the cytokine environment they encounter in the affected tissues. In this study, we have identified expression signatures of miRNAs that are differentially regulated during maturation of monocytes and polarization of macrophages by cytokines. We present a comprehensive characterization of miRNA expression in human monocytes and M1, M2a and M2c polarized macrophages, using next-generation Sequencing by Oligonucleotide Ligation and Detection (SOLiD). We have analyzed freshly isolated human monocytes and 5 day monocyte-derived macrophages unstimulated, or stimulated with IFNgamma+TNFalpha (M1), IL-4 (M2a) or IL-10 (M2c).
Project description:In this study we compared the response of human monocyte-derived macrophages differentiated with either granulocyte-macrophage colony-stimulating factor (GM-CSF) or macrophage colony-stimulating factor (M-CSF) to the most common activation stimuli: LPS plus interferon-γ to induce macrophage polarization towards the M1 type or IL-4 to induce macrophage polarization towards the M2a type. Additionally, IL-10 was used to drive M-CSF-primed macrophages into the M2c state. We used the the whole-human genome microarray to determine genes that were up- or downregulated by the activation stimuli in both macrophage lineages, with focus on genes implicated in immune response.
Project description:Background: Macrophages are a heterogeneous cell population which in response to the cytokine milieu polarize in either classically activated macrophages (M1) or alternatively activated macrophages (M2). This plasticity makes macrophages essential in regulating inflammation, immune response and tissue remodeling and a novel therapeutic target in inflammatory diseases such as atherosclerosis. The aim of the study was to describe the transcriptomic profiles of differently polarized human macrophages to generate new hypotheses on the biological function of the different macrophage subtypes. Methods and Results: M1 polarization was obtained by IFN-γ and LPS, M2a by IL-4, whereas IL-10 induced a “deactivated” state (M2c). Transcription profile of M1, M2a and M2c macrophages was performed at 6, 12 and 24h after polarization with Whole Human Genome Agilent Microarray technique. Gene Ontology (GO) classification revealed that M1 showed a significant up-regulation whereas M2a a down-regulation of GO terms involved in immunity and inflammation compared to resting macrophage (RM). Unexpectedly, canonical and non-canonical Wnt genes and gene groups, promoting inflammation and tissue remodeling, were up-regulated in M2a compared to RM. Key results were confirmed by real time-PCR. Conclusion: Results from gene expression profile confirmed the specific properties of differentially polarized macrophages. However, the enhanced expression of canonical and non-canonical Wnt pathways in M2a suggests a possible dual role for alternative activation in the modulation of low-grade inflammation. Four-condition experiment, RM, M1, M2a, M2c. Three point of time course, three replicates for each condition. Dual color experiment, reference sample: human leucocytes
Project description:Triplicate samples of donor matched ex vivo generated macrophage subtypes M1, M2a, M2c compared against the M0 control analysed using TMT-based 11plex quantitative proteomics.
Project description:RNA sequencing of monocyte-derived dendritic cells, tolerogenic dendritic cells, unpolarized macrophages, and M1, M2a, and M2c macrophages differentiated in vitro on PBS- or fibronectin-coated wells, in the presence of control IgG1 or anti-ILT3 16C5
Project description:Triplicate samples of donor matched ex vivo generated macrophage subtypes M1, M2a, M2c compared against the M0 control analysed using TMT-based 11plex quantitative proteomics.
Project description:Macrophages (MΦs) display remarkable plasticity and the ability to activate diverse responses to a host of intracellular and external stimuli. Despite extensive characterization of M1 MΦs and a broad set of M2 MΦs, comprehensive characterization of functional phenotype and associated metabotype driving this diverse MΦ activation remains. Herein, we utilized an ex vivo model to produce six MΦ functional phenotypes. Isolated CD14+ PBMCs were differentiated into resting M0 MΦs, and then polarized into M1 (IFN-γ/LPS), M2a (IL-4/IL-13), M2b (IC/LPS), M2c (IL-10), and M2d (IL-6/LIF) MΦs. The MΦs were profiled using a bioanalyte matrix of four cell surface markers, ~50 secreted proteins, ~800 expressed myeloid genes, and ~450 identified metabolites relative to M0 MΦs. Signal protein and expressed gene profiles grouped the MΦs into inflammatory (M1 and M2b) and wound resolution (M2a, M2c, and M2d) phenotypes; however, each had a unique metabolic profile. While both M1 and M2b MΦs shared metabotype profiles consistent with an inflammatory signature; key differences were observed in the TCA cycle, FAO, and OXPHOS. Additionally, M2a, M2c, and M2d MΦs all profiled as tissue repair MΦs; however, metabotype differences were observed in multiple pathways including hexosamine, polyamine, and fatty acid metabolism. These metabolic and other key functional distinctions suggest phagocytic and proliferative functions for M2a MΦs, and angiogenesis and ECM assembly capabilities for M2b, M2c, and M2d MΦs. By integrating metabolomics into a systems analysis of MΦ phenotypes, we provide the most comprehensive map of MΦ diversity to date, along with the global metabolic shifts that correlate to MΦ functional plasticity in these phenotypes.