Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

The identity of the apoptotic cell explains the functional diversity of the efferocytic macrophages

ABSTRACT: Macrophages are a functionally heterogeneous cell population, critical for the clearance of apoptotic cells. Apoptotic cells have so far been regarded as cells with homogeneous characteristics, often neglecting their original cell lineage identity. Contrary to this, we have observed that the identities of apoptotic cells matter, since they diversify the profile of efferocytic macrophages in vitro and in mouse models of tissue damage. Apoptotic neutrophils trigger a tissue remodeling macrophage signature, while T cells and hepatocytes respectively do not change or promote a tolerogenic macrophage response. Accordingly, the in vivo transfer of macrophages fed with apoptotic neutrophils, but not the transfer of macrophages fed with other apoptotic cells, promotes tissue remodeling. Finally, using a mouse model of parasite-induced tissue pathology, we found that the presence of specific apoptotic cells while simultaneously engaging select phagocytic receptors, i.e. AXL and MERTK by apoptotic neutrophils, diversifies macrophage function. These data reveal that the identity of an apoptotic cell should not be neglected since it drives macrophage transcriptomic and functional heterogeneity.

INSTRUMENT(S): BGISEQ-500

ORGANISM(S): Mus musculus

SUBMITTER: Christian Casar

PROVIDER: E-MTAB-13780 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:To recruit phagocytes, apoptotic cells characteristically release ATP, which functions as a “danger” signal. Here, we found that the culture supernatant of apoptotic cells activated the macrophages to express anti-inflammatory genes such as NR4A and Thbs1. A high level of AMP accumulated in the apoptotic cell supernatant in a Pannexin1-dependent manner. A nucleotidase inhibitor and A2a adenosine receptor antagonist inhibited the apoptotic supernatant-induced gene expression, suggesting AMP was metabolized to adenosine by an ecto-5’-nucleotidase expressed on macrophages, to activate the macrophage A2a adenosine receptor. Intraperitoneal injection of zymosan into AdoR A2a- or Panx1-deficient mice produced high, sustained levels of inflammatory mediators in the peritoneal lavage. These results indicated that AMP from apoptotic cells suppresses inflammation as a “calm down” signal. If apoptotic cells produce “danger” or “anti-danger” signal(s), we rationalized that such signals would activate gene expression in macrophages. To investigate this possibility, we examined the effect of the culture supernatant from apoptotic cells on macrophage gene expression by using microarrays. For mouse BMDMs, bone marrow cells from female C57BL/6J mice at 8 weeks of age were cultured for more than 7 days with DMEM containing 10% FCS supplemented with mouse M-CSF. We used adherent cells as BMDMs in the study. W3 cells, mouse T cell line expressing Fas, were treated with human Fas ligand at 37°C for 30 min to induce apoptosis. The cells were then washed and re-suspended at a concentration of 1 × 107 cells/ml with RPMI containing 1% FCS, and further incubated for 60 min at 37°C. Following Fas ligand treatment, more than 90% of the W3 cells were Annexin V positive, and only small percentage were positive for both Annexin V and propidium iodide (PI). The culture supernatant was collected from apoptotic W3 cells. Next, BMDMs were incubated with medium (BMDMs-Medium) or apoptotic W3 cell supernatant (BMDMs-Apoptotic cell supernatant) for 1 h. Total RNA was extracted from the cells and hybridized on Affymetrix microarrays.

Project description:Dunster2014 - WBC Interactions (Model1) This is a sub-model of a three-step inflammatory response modelling study. The model includes distinct populations of white blood cells namely, macrophages and active and apoptotic neutrophil populations. Neutrophil apoptosis rate is predicted to be crucial for the qualitative nature of the system. This model is described in the article: The resolution of inflammation: a mathematical model of neutrophil and macrophage interactions. Dunster JL, Byrne HM, King JR. Bull. Math. Biol. 2014 Aug; 76(8): 1953-1980 Abstract: There is growing interest in inflammation due to its involvement in many diverse medical conditions, including Alzheimer's disease, cancer, arthritis and asthma. The traditional view that resolution of inflammation is a passive process is now being superceded by an alternative hypothesis whereby its resolution is an active, anti-inflammatory process that can be manipulated therapeutically. This shift in mindset has stimulated a resurgence of interest in the biological mechanisms by which inflammation resolves. The anti-inflammatory processes central to the resolution of inflammation revolve around macrophages and are closely related to pro-inflammatory processes mediated by neutrophils and their ability to damage healthy tissue. We develop a spatially averaged model of inflammation centring on its resolution, accounting for populations of neutrophils and macrophages and incorporating both pro- and anti-inflammatory processes. Our ordinary differential equation model exhibits two outcomes that we relate to healthy and unhealthy states. We use bifurcation analysis to investigate how variation in the system parameters affects its outcome. We find that therapeutic manipulation of the rate of macrophage phagocytosis can aid in resolving inflammation but success is critically dependent on the rate of neutrophil apoptosis. Indeed our model predicts that an effective treatment protocol would take a dual approach, targeting macrophage phagocytosis alongside neutrophil apoptosis. This model is hosted on BioModels Database and identified by: BIOMD0000000616. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

The identity of the apoptotic cell explains the functional diversity of the efferocytic macrophages

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure