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A tool for mapping ...
A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes
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- Colombo, Gloria (författare)
- Inst Sci & Technol Austria ISTA, Klosterneuburg, Austria.
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- Cubero, Ryan John A. (författare)
- Inst Sci & Technol Austria ISTA, Klosterneuburg, Austria.
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- Kanari, Lida (författare)
- Ecole Polytech Fed Lausanne EPFL, Blue Brain Project, Geneva, Switzerland.
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- Venturino, Alessandro (författare)
- Inst Sci & Technol Austria ISTA, Klosterneuburg, Austria.
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- Schulz, Rouven (författare)
- Inst Sci & Technol Austria ISTA, Klosterneuburg, Austria.
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- Scolamiero, Martina, 1986- (författare)
- KTH,Matematik (Avd.)
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- Agerberg, Jens (författare)
- KTH,Matematik (Inst.)
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- Mathys, Hansruedi (författare)
- MIT, Picower Inst Learning & Memory, 77 Massachusetts Ave, Cambridge, MA 02139 USA.;MIT, Dept Brain & Cognit Sci, E25-618, Cambridge, MA 02139 USA.;Broad Inst Harvard & MIT, Cambridge, MA USA.;Univ Pittsburgh, Brain Inst, Pittsburgh, PA USA.;Univ Pittsburgh, Sch Med, Dept Neurobiol, Pittsburgh, PA USA.
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- Tsai, Li-Huei (författare)
- MIT, Picower Inst Learning & Memory, 77 Massachusetts Ave, Cambridge, MA 02139 USA.;MIT, Dept Brain & Cognit Sci, E25-618, Cambridge, MA 02139 USA.;Broad Inst Harvard & MIT, Cambridge, MA USA.
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- Chachólski, Wojciech (författare)
- KTH,Matematik (Avd.)
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- Hess, Kathryn (författare)
- Ecole Polytech Fed Lausanne EPFL, Lab Topol & Neurosci, Brain Mind Inst, Lausanne, Switzerland.
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- Siegert, Sandra (författare)
- Inst Sci & Technol Austria ISTA, Klosterneuburg, Austria.
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Inst Sci & Technol Austria ISTA, Klosterneuburg, Austria Ecole Polytech Fed Lausanne EPFL, Blue Brain Project, Geneva, Switzerland. (creator_code:org_t)
- 2022-09-30
- 2022
- Engelska.
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Ingår i: Nature Neuroscience. - : Springer Nature. - 1097-6256 .- 1546-1726. ; 25:10, s. 1379-
- Relaterad länk:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Biologi -- Cellbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Cell Biology (hsv//eng)
- NATURVETENSKAP -- Biologi -- Biofysik (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Biophysics (hsv//eng)
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Colombo, Gloria
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Cubero, Ryan Joh ...
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Kanari, Lida
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Venturino, Aless ...
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Schulz, Rouven
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Scolamiero, Mart ...
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visa fler...
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Agerberg, Jens
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Mathys, Hansrued ...
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Tsai, Li-Huei
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Chachólski, Wojc ...
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Hess, Kathryn
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Siegert, Sandra
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visa färre...
- Om ämnet
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- NATURVETENSKAP
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NATURVETENSKAP
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och Biologi
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och Cellbiologi
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- NATURVETENSKAP
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NATURVETENSKAP
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och Biologi
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och Biofysik
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Nature Neuroscie ...
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