ORCID Profile
0000-0003-2655-9921
Current Organisations
Hull York Medical School, University of York
,
University of York
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Publications
Mathematical modelling of activation-induced heterogeneity reveals cell state transitions underpinning macrophage responses to LPS
Publisher: Cold Spring Harbor Laboratory
Date: 22-09-2021
DOI: 10.1101/2021.09.19.461010
Abstract: Despite extensive work on macrophage heterogeneity, the mechanisms driving activation induced heterogeneity (AIH) in macrophages remain poorly understood. Here, we use two in vitro cellular models of LPS-induced tolerance (bone marrow-derived macrophages or BMDMs and RAW 264.7 cells), single-cell protein measurements, and mathematical modelling to explore how AIH underpins primary and secondary responses to LPS. We measure expression of TNF, IL-6, pro-IL-1β, and NOS2 and demonstrate that macrophage community AIH is dependent on LPS dose. We show that altered AIH kinetics in macrophages responding to a second LPS challenge underpin hypo-responsiveness to LPS. These empirical data can be explained by a mathematical 3-state model including negative, positive, and non-responsive states (NRS), but they are also compatible with a 4-state model that includes distinct reversibly NRS and non-responsive permanently states (NRPS). Our mathematical model, termed NoRM (Non-Responsive Macrophage) model identifies similarities and differences between BMDM and RAW 264.7 cell responses. In both cell types, transition rates between states in the NoRM model are distinct for each of the tested proteins and, crucially, macrophage hypo-responsiveness is underpinned by changes in transition rates to and from NRS. Overall, our findings provide support for a critical role for phenotypically negative macrophage populations as an active component of AIH and primary and secondary responses to LPS. This reveals unappreciated aspects of cellular ecology and community dynamics associated with LPS-driven training of macrophages.
UVB modifies skin immune-stroma cross-talk and promotes effector T cell recruitment during crypticLeishmania donovaniinfection
Publisher: Cold Spring Harbor Laboratory
Date: 03-02-2023
DOI: 10.1101/2023.02.03.526940
Abstract: Many parasites of significant public health importance assume skin residency without causing overt pathlogy. How immune and stromal cells respond to such “cryptic” infections and how exposure to UVB alters such responses in poorly understood. We combined scRNA-seq, spatial transcriptomics and inferential network analysis to address these questions in a model of cryptic skin infection by Leishmania donovani . In infected C57BL/6 mice, p-selectin and CXCL12 interactions dominate intercellular communication between leucocytes, fibroblast and endothelial cells, but effector T cell function remains muted. Following UVB exposure, increased numbers of IFNγ + CD4 + Th1 cells and NK cells enter the skin, communicating with stromal cells via CCL5-CCR5 and LFA-1-ICAM1/2. However, spatial mapping indicated that Th1 cells and macrophages occupied distinct niches after UVB exposure, likely limiting effector function. Our data provide the first holistic view of the immune landscape during cryptic L. donovani infection and demonstrate how UVB exposure fundamentally reshapes this response.
Mathematical modelling of activation-induced heterogeneity in TNF, IL6, NOS2, and IL1β expression reveals cell state transitions underpinning macrophage responses to LPS
Publisher: F1000 Research Ltd
Date: 25-07-2022
DOI: 10.12688/WELLCOMEOPENRES.17557.2
Abstract: Background: Despite extensive work on macrophage heterogeneity, the mechanisms driving activation induced heterogeneity (AIH) in macrophages remain poorly understood. Here, we aimed to develop mathematical models to explore theoretical cellular states underpinning the empirically observed responses of macrophages following lipopolysaccharide (LPS) challenge. Methods: We obtained empirical data following primary and secondary responses to LPS in two in vitro cellular models (bone marrow-derived macrophages or BMDMs, and RAW 264.7 cells) and single-cell protein measurements for four key inflammatory mediators: TNF, IL-6, pro-IL-1β, and NOS2, and used mathematical modelling to understand heterogeneity. Results: For these four factors, we showed that macrophage community AIH is dependent on LPS dose and that altered AIH kinetics in macrophages responding to a second LPS challenge underpin hypo-responsiveness to LPS. These empirical data can be explained by a mathematical three-state model including negative, positive, and non-responsive states (NRS), but they are also compatible with a four-state model that includes distinct reversibly NRS and non-responsive permanently states (NRPS). Our mathematical model, termed NoRM (Non-Responsive Macrophage) model identifies similarities and differences between BMDM and RAW 264.7 cell responses. In both cell types, transition rates between states in the NoRM model are distinct for each of the tested proteins and, crucially, macrophage hypo-responsiveness is underpinned by changes in transition rates to and from NRS. Conclusions: Overall, we provide a mathematical model for studying macrophage ecology and community dynamics that can be used to elucidate the role of phenotypically negative macrophage populations in AIH and, primary and secondary responses to LPS.
Related Organisations
Hull York Medical School, University Of York
Location: United Kingdom of Great Britain and Northern Ireland
University College London
Location: United Kingdom of Great Britain and Northern Ireland
University Of York
Location: United Kingdom of Great Britain and Northern Ireland
Related Funding Activities
No related grants have been discovered for Shoumit Dey.