ArticleNature neuroscience2022
A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes.
Article in Nature neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed, 90 citations in OpenAlex.
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- Corticosterone-linked microglial activity underpins sexually dimorphic neuroplasticity after ketamine anesthesia.Science advances · 2026Article
- Temporal Topology Provides an Interpretable Framework for Neuronal Morphogenesis.Neuroinformatics · 2026Article
- FcγR- and CD9-dependent synapse-engulfing microglia in the thalamus drive cognitive impairment following cortical brain damage in mice.Nature communications · 2026Article
- Spatial proteomic analysis in human Alzheimer's disease brains enables identification of microenvironment-dependent microglial cell states.Nature neuroscience · 2026Article
- Automated Proofreading of Digitally Reconstructed Neural Morphology Enhances Accuracy, Scalability, and Standardization.bioRxiv : the preprint server for biology · 2026Article
- Subcellular orchestration of microglial aging.Nature aging · 2026Article
- Increased neurotoxic gliosis and blood-brain barrier dysregulation in canine cognitive dysfunction syndrome (CCD).Frontiers in aging · 2026Article
- Application to developmental toxicity testing of a novel method for whole-brain imaging of microglia in zebrafish.Current research in toxicology · 2026Article
- The cellular choreography of brain aging: a neuroimmune network perspective.Frontiers in aging neuroscience · 2026Review
- Type I interferon signalling and interferon-responsive microglia in health and disease.The FEBS journal · 2025Review
- Transcriptomic Architecture of Weak Versus Strong Contextual Fear Extinction Learning Uncovers Extinction-Suppressive Role of TIA1.Biological psychiatry global open science · 2025Article
- Modeling neurodegeneration in the retina and strategies for developing pan-neurodegenerative therapies.Molecular neurodegeneration · 2025Review
- Topology across scales on heterogeneous cell data.PLoS computational biology · 2025Article
- Lewy body dementia promotion by air pollutants.Science (New York, N.Y.) · 2025Article
- Characterizing Microglial Morphology: Methodological Advances in Confocal Imaging and Analysis.Cells · 2025Article
- Article
- Alpha_Mesh_Swc: automatic and robust surface mesh generation from the skeleton description of brain cells.Briefings in bioinformatics · 2025Article
- Unraveling microglial spatial organization in the developing human brain with DeepCellMap, a deep learning approach coupled with spatial statistics.Nature communications · 2025Article
- The microglial response to inhibition of Colony-stimulating-factor-1 receptor by PLX3397 differs by sex in adult mice.Cell reports · 2025Article
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Authors and funding
12 authors at 4 institutions in 4 countries.
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Abstract
Environmental cues influence the highly dynamic morphology of microglia. Strategies to characterize these changes usually involve user-selected morphometric features, which preclude the identification of a spectrum of context-dependent morphological phenotypes. Here we develop MorphOMICs, a topological data analysis approach, which enables semiautomatic mapping of microglial morphology into an atlas of cue-dependent phenotypes and overcomes feature-selection biases and biological variability. We extract spatially heterogeneous and sexually dimorphic morphological phenotypes for seven adult mouse brain regions. This sex-specific phenotype declines with maturation but increases over the disease trajectories in two neurodegeneration mouse models, with females showing a faster morphological shift in affected brain regions. Remarkably, microglia morphologies reflect an adaptation upon repeated exposure to ketamine anesthesia and do not recover to control morphologies. Finally, we demonstrate that both long primary processes and short terminal processes provide distinct insights to morphological phenotypes. MorphOMICs opens a new perspective to characterize microglial morphology.
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