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Spatiotemporal molecular profiling of macrophage-fibroblast crosstalk defines checkpoints orchestrating onset and resolution of inflammation [RNA-seq]

ABSTRACT: The molecular details of macrophage-fibroblast crosstalk during the onset and resolution of inflammatory disease remain incompletely understood. Here, we apply a scRNAseq-, scATACseq- and bulk RNAseq-based bioinformatic modelling approach to map heterocellular signaling circuits of synovial macrophage and synovial fibroblast (SF) subsets during various stages of inflammatory arthritis. While SFs function as key pacemakers of synovial inflammation, individual subsets of synovial macrophages support both the perpetuation and the resolution of arthritis. While pro-inflammatory Il1b+ macrophages dominate the early stages of inflammation, these cells also retain a substantial intrinsic plasticity that is characterized by chromatin remodeling and an eventual differentiation into Spp1+ macrophages. These cells display a terminally-differentiated phenotype, suppresses activation of pro-inflammatory SFs, and initiates the resolution of arthritis by secretion of regulatory mediators including osteopontin. Our data highlight the dichotomous character of macrophage-fibroblast crosstalk and define the cellular and molecular checkpoints that control the onset and resolution of immune-mediated inflammatory diseases.

ORGANISM(S): Mus musculus

PROVIDER: GSE316918 | GEO | 2026/01/21

REPOSITORIES: GEO

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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 The traditional view that resolution of inflammation is a passive process is now being superceded by an alternative hypothesis whereby its resolution is an active, anti-inflammatory process that can be manipulated therapeutically.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.

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Spatiotemporal molecular profiling of macrophage-fibroblast crosstalk defines checkpoints orchestrating onset and resolution of inflammation [RNA-seq]

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