MorphoCellSorter is an Andrews plot-based sorting approach to rank microglia according to their morphological features

Microglia exhibit diverse morphologies reflecting environmental conditions, maturity, or functional states. Thus, morphological characterization provides important information to understand microglial roles and functions. Most recent morphological analysis relies on classifying cells based on morphological parameters. However, this classification may lack biological relevance, as microglial morphologies represent a continuum rather than distinct, separate groups, and do not correspond to mathematically defined clusters irrelevant of microglial cells function. Instead, we propose a new open-source tool, MorphoCellSorter, which assesses microglial morphology by automatically computing morphological criteria, using principal component analysis and Andrews plots to score cells. MorphoCellSorter properly ranked cells from various microglia datasets in mice and rats of different ages, from <i>in vivo</i>, <i>in vitro</i>, and <i>ex vivo</i> models, that were acquired using diverse imaging techniques. This approach allowed for the discrimination of cell populations in various pathophysiological conditions. Finally, MorphoCellSorter offers a versatile, easy, and ready-to-use method to evaluate microglial morphological diversity that could easily be generalized to standardize practices across laboratories.

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Journal
eLife
Published
2024-11-18
DOI
https://doi.org/10.7554/elife.101630
Citations
1
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
0.25

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article

MorphoCellSorter is an Andrews plot-based sorting approach to rank microglia according to their morphological features

Paul Marchal, Sarah Benkeder, Kassandre Combet, Serge Marty et al.
1 citations
eLife
Neuroinflammation and Neurodegeneration Mechanisms
0.25
article

MorphoCellSorter is an Andrews plot-based sorting approach to rank microglia according to their morphological features

Paul Marchal, Sarah Benkeder, Kassandre Combet, Serge Marty, Violaine Hubert, Inès Hristovska, Laura Cardoit, Gabriel Pitollat, Muriel Thoby‐Brisson, Olivier Pascual, Christelle Léon, Marlène Wiart, Bruno Pillot, Jérôme Honnorat, Jean‐Christophe Comte, Son-Michel Dinh, Priscille De Gea
article en
1 citations

Abstract

Microglia exhibit diverse morphologies reflecting environmental conditions, maturity, or functional states. Thus, morphological characterization provides important information to understand microglial roles and functions. Most recent morphological analysis relies on classifying cells based on morphological parameters. However, this classification may lack biological relevance, as microglial morphologies represent a continuum rather than distinct, separate groups, and do not correspond to mathematically defined clusters irrelevant of microglial cells function. Instead, we propose a new open-source tool, MorphoCellSorter, which assesses microglial morphology by automatically computing morphological criteria, using principal component analysis and Andrews plots to score cells. MorphoCellSorter properly ranked cells from various microglia datasets in mice and rats of different ages, from <i>in vivo</i>, <i>in vitro</i>, and <i>ex vivo</i> models, that were acquired using diverse imaging techniques. This approach allowed for the discrimination of cell populations in various pathophysiological conditions. Finally, MorphoCellSorter offers a versatile, easy, and ready-to-use method to evaluate microglial morphological diversity that could easily be generalized to standardize practices across laboratories.

eLifeVol. 13
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), Inserm (FR), Institut National des Sciences Appliquées de Rennes (FR), Sorbonne Université (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Centre de Recherche en Neurosciences de Lyon (FR), Hospices Civils de Lyon (FR), Institut de Neurosciences Cognitives et Intégratives d’Aquitaine (FR), Pitié-Salpêtrière Hospital (FR), Laboratoire de recherche en cardiovasculaire, métabolisme, diabétologie et nutrition (FR), Institut du Cerveau (FR)
Agence Nationale de la Recherche, Institut National de la Santé et de la Recherche Médicale, Fondation pour la Recherche Médicale, Centre National de la Recherche Scientifique, Université Claude Bernard Lyon 1
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 41%
Neuroinflammation and Neurodegeneration Mechanisms
0.25
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