Cellular morphodynamics as quantifiers for functional states of resident tissue macrophages in vivo

Resident tissue macrophages (RTMs) are essential for tissue homeostasis. Their diverse functions, from monitoring interstitial fluids to clearing cellular debris, are accompanied by characteristic morphological changes that reflect their functional status. While current knowledge of macrophage behavior comes primarily from in vitro studies, their dynamic behavior in vivo is fundamentally different, necessitating a more physiologically relevant approach to their understanding. In this study, we employed intravital imaging to generate dynamic data from peritoneal RTMs in mice under various conditions and developed a comprehensive image processing pipeline to quantify RTM morphodynamics over time, defining human-interpretable cell size and shape features. These features allowed for the quantitative and qualitative differentiation of cell populations in various functional states, including pro- and anti-inflammatory activation and endosomal dysfunction. The study revealed that under steady-state conditions, RTMs exhibit a wide range of morphodynamical phenotypes, constituting a naïve morphospace of behavioral motifs. Upon challenge, morphodynamic patterns changed uniformly at the population level but predominantly within the constraints of this naïve morphospace. Notably, aged animals displayed a markedly shifted naïve morphospace, indicating drastically different behavioral patterns compared to their young counterparts. The developed method also proved valuable in optimizing explanted tissue setups, bringing RTM behavior closer to the physiological native state. Our versatile approach thus provides novel insights into the dynamic behavior of bona fide macrophages in vivo, enabling the distinction between physiological and pathological cell states and the assessment of functional tissue age on a population level.

Authors

Institutions

Publication Details

Journal
PLoS Computational Biology
Published
2025-05-29
DOI
https://doi.org/10.1371/journal.pcbi.1011859
Citations
4
Primary Topic
Immune cells in cancer
Type
article
Field-Weighted Citation Impact
3.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cellular morphodynamics as quantifiers for functional states of resident tissue macrophages in vivo

Anna Cäcilie Möller, Stefan Uderhardt, Anja Wegner, Vasily Zaburdaev et al.
4 citations
PLoS Computational Biology
Immune cells in cancer
3.19
article

Cellular morphodynamics as quantifiers for functional states of resident tissue macrophages in vivo

Anna Cäcilie Möller, Stefan Uderhardt, Anja Wegner, Vasily Zaburdaev, Oliver Aust, David B. Blumenthal, Oumaima Ben Brahim, Miriam Schnitzerlein, Eric Greto
article en
4 citations

Abstract

Resident tissue macrophages (RTMs) are essential for tissue homeostasis. Their diverse functions, from monitoring interstitial fluids to clearing cellular debris, are accompanied by characteristic morphological changes that reflect their functional status. While current knowledge of macrophage behavior comes primarily from in vitro studies, their dynamic behavior in vivo is fundamentally different, necessitating a more physiologically relevant approach to their understanding. In this study, we employed intravital imaging to generate dynamic data from peritoneal RTMs in mice under various conditions and developed a comprehensive image processing pipeline to quantify RTM morphodynamics over time, defining human-interpretable cell size and shape features. These features allowed for the quantitative and qualitative differentiation of cell populations in various functional states, including pro- and anti-inflammatory activation and endosomal dysfunction. The study revealed that under steady-state conditions, RTMs exhibit a wide range of morphodynamical phenotypes, constituting a naïve morphospace of behavioral motifs. Upon challenge, morphodynamic patterns changed uniformly at the population level but predominantly within the constraints of this naïve morphospace. Notably, aged animals displayed a markedly shifted naïve morphospace, indicating drastically different behavioral patterns compared to their young counterparts. The developed method also proved valuable in optimizing explanted tissue setups, bringing RTM behavior closer to the physiological native state. Our versatile approach thus provides novel insights into the dynamic behavior of bona fide macrophages in vivo, enabling the distinction between physiological and pathological cell states and the assessment of functional tissue age on a population level.

PLoS Computational BiologyVol. 21(5)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), German Center for Neurodegenerative Diseases (DE), Universitätsklinikum Erlangen (DE), Max Planck Institute for the Science of Light (DE), Advanced Optical Technologies (United States) (US), Artificial Intelligence in Medicine (Canada) (CA)
Deutsche Forschungsgemeinschaft, European Research Council
Openalex Percentile: Top 8%
Immune cells in cancer
3.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.