A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes
Name
s41593-022-01167-6.pdf
Description
Published version
Size
22.69 MB
Format
Adobe PDF
Checksum (MD5)
28431146873096f52e0107b534f178c9
Author(s)
Colombo, Gloria
Cubero, Ryan John A
Kanari, Lida
Venturino, Alessandro
Schulz, Rouven
Scolamiero, Martina
Agerberg, Jens
Mathys, Hansruedi
Tsai, Li-Huei
Chachólski, Wojciech
Date Issued
2022
Journal
Nature Neuroscience
Publisher
Springer Science and Business Media LLC
Citation
Colombo, Gloria, Cubero, Ryan John A, Kanari, Lida, Venturino, Alessandro, Schulz, Rouven et al. 2022. "A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes." Nature Neuroscience, 25 (10).
Version
Final published version
Abstract
AbstractEnvironmental 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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/S41593-022-01167-6
