# A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes

**Authors:** Gloria Colombo, Ryan John A. Cubero, Lida Kanari, Alessandro Venturino, Rouven Schulz, Martina Scolamiero, Jens Agerberg, Hansruedi Mathys, Li-Huei Tsai, Wojciech Chachólski, Kathryn Hess, Sandra Siegert

PMC · DOI: 10.1038/s41593-022-01167-6 · Nature Neuroscience · 2022-09-30

## TL;DR

A new tool called MorphOMICs maps microglial shapes in the brain, revealing differences based on brain regions and sex.

## Contribution

MorphOMICs introduces a topological data analysis method to map microglial morphology without feature-selection bias.

## Key findings

- Microglial morphologies vary by brain region and sex in adult mice.
- Sex-specific morphological differences decrease with maturation but increase in neurodegeneration models.
- Microglia do not recover to original shapes after repeated ketamine exposure.

## 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.

Colombo et al. build a morphological spectrum of over 40,000 microglia across development and disease with a topological data analysis approach that allows mapping of new conditions along these sex-region-specific and brain-region-specific atlases.

## Linked entities

- **Chemicals:** ketamine (PubChem CID 3821)
- **Species:** Mus musculus (taxon 10090)

## Full-text entities

- **Genes:** Aif1 (allograft inflammatory factor 1) [NCBI Gene 29427] {aka BART-1, Bart1, iba1, mrf-1}, Cd68 (CD68 antigen) [NCBI Gene 12514] {aka Lamp4, Scard1, gp110}, Aif1 (allograft inflammatory factor 1) [NCBI Gene 11629] {aka AIF-1, D17H6S50E, G1, Iba1}, Camk2a (calcium/calmodulin-dependent protein kinase II alpha) [NCBI Gene 12322] {aka CaMKII, mKIAA0968}, Cx3cr1 (C-X3-C motif chemokine receptor 1) [NCBI Gene 13051] {aka mCX3CR1}, App (amyloid beta precursor protein) [NCBI Gene 11820] {aka Abeta, Abpp, Adap, Ag, Cvap, E030013M08Rik}, Plp1 (proteolipid protein (myelin) 1) [NCBI Gene 18823] {aka DM20, Plp, jimpy, jp, msd, rsh}, Cdk6 (cyclin dependent kinase 6) [NCBI Gene 12571] {aka Crk2}, Iba1 (induction of brown adipocytes 1) [NCBI Gene 114737], Cdk5r1 (cyclin dependent kinase 5, regulatory subunit 1) [NCBI Gene 12569] {aka Cdk5r, D11Bwg0379e, p25, p35}
- **Diseases:** dementia (MESH:D003704), neurotoxic (MESH:D020258), memory deficits (MESH:D008569), Synaptic loss (MESH:D012183), amyloid plaque deposition (MESH:D058225), spine loss (MESH:D016135), gliosis (MESH:D005911), bleeding (MESH:D006470), UMAP (MESH:C567162), TMD (MESH:C566911), neurodegeneration (MESH:D019636), atrophy (MESH:D001284), sporadic neurodegeneration (MESH:D020821), CB (MESH:D002526), cognitive decline (MESH:D003072), neurofibrillary tangle (MESH:D055956), Alzheimer disease (MESH:D000544),  (MESH:D004195)
- **Species:** Rattus norvegicus (brown rat, species) [taxon 10116], Mus musculus (house mouse, species) [taxon 10090]
- **Mutations:** L286V, M146L, C with 0
- **Cell lines:** B6SJL — Mus musculus (Mouse), Finite cell line (CVCL_5896), H3570 — Mus musculus (Mouse), Mouse multiple myeloma, Cancer cell line (CVCL_4032), Camk2a — Homo sapiens (Human), Colon carcinoma, Cancer cell line (CVCL_A628), FR3288145- — Homo sapiens (Human), Lung large cell carcinoma, Cancer cell line (CVCL_0C10), C57BL/6 — Mus musculus (Mouse), Transformed cell line (CVCL_C0MU), 5xFAD — Mus musculus (Mouse), Transformed cell line (CVCL_5U93), C57BL/6J — Mus musculus (Mouse), Transformed cell line (CVCL_C0MW), FA-11 — Homo sapiens (Human), Pancreatic adenocarcinoma, Cancer cell line (CVCL_4034)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC9534764/full.md

## Figures

18 figures with captions in the complete paper: https://tomesphere.com/paper/PMC9534764/full.md

## References

81 references — full list in the complete paper: https://tomesphere.com/paper/PMC9534764/full.md

---
Source: https://tomesphere.com/paper/PMC9534764