---
res:
  bibo_abstract:
  - "Environmental cues influence the highly dynamic morphology of microglia. Strategies
    to \r\ncharacterize these changes usually involve user-selected morphometric features,
    which \r\npreclude the identification of a spectrum of context-dependent morphological
    phenotypes. \r\nHere, we develop MorphOMICs, a topological data analysis approach,
    which enables semi\x02automatic mapping of microglial morphology into an atlas
    of cue-dependent phenotypes,\r\novercomes feature-selection bias and minimizes
    biological variability. \r\nFirst, with MorphOMICs we derive the morphological
    spectrum of microglia across seven \r\nbrain regions during postnatal development
    and in two distinct Alzheimer’s disease \r\ndegeneration mouse models. We uncover
    region-specific and sexually dimorphic\r\nmorphological trajectories, with females
    showing an earlier morphological shift than males in \r\nthe degenerating brain.
    Overall, we demonstrate that both long primary- and short terminal \r\nprocesses
    provide distinct insights to morphological phenotypes. Moreover, using machine
    \r\nlearning to map novel condition on the spectrum, we observe that microglia
    morphologies \r\nreflect a dose-dependent adaptation upon ketamine anesthesia
    and do not recover to control \r\nmorphologies.\r\nNext, we took advantage of
    MorphOMICs to build a high-resolution and layer-specific map of \r\nmicroglial
    morphological spectrum in the retina, covering postnatal development and rd10
    \r\ndegeneration. Here, following photoreceptor death, microglia assume an early
    development\x02like morphology. Finally, we map microglial morphology following
    optic nerve crush on the \r\nretinal spectrum and observe a layer- and sex-dependent
    response. \r\nOverall, MorphOMICs opens a new perspective to analyze microglial
    morphology across \r\nmultiple conditions, and provides a novel tool to characterize
    microglial morphology beyond \r\nthe traditionally dichotomized view of microglia.@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Gloria
      foaf_name: Colombo, Gloria
      foaf_surname: Colombo
      foaf_workInfoHomepage: http://www.librecat.org/personId=3483CF6C-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0001-9434-8902
  bibo_doi: 10.15479/at:ista:12378
  dct_date: 2022^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2663-337X
  dct_language: eng
  dct_publisher: Institute of Science and Technology Austria@
  dct_title: MorphOMICs, a tool for mapping microglial morphology, reveals brain region-
    and sex-dependent phenotypes@
...