Article Dans Une Revue eLife Année : 2024

MorphoCellSorter: An Andrews plot-based sorting approach to rank microglia according to their morphological features

Résumé

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 is not always biologically relevant, as microglial morphologies constitute a continuum rather than segregated groups. 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 rank cells. MorphoCellSorter accurately ranked cells from various microglia datasets in mice and rats of different age, from in vivo , in vitro and ex vivo 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.
Fichier principal
Vignette du fichier
101630-v1.pdf (3.95 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence

Dates et versions

hal-04933411 , version 1 (06-02-2025)

Licence

Identifiants

Citer

Sarah Benkeder, Son-Michel Dinh, Paul Marchal, Priscille De Gea, Muriel Thoby-Brisson, et al.. MorphoCellSorter: An Andrews plot-based sorting approach to rank microglia according to their morphological features. eLife, 2024, ⟨10.7554/eLife.101630.1⟩. ⟨hal-04933411⟩
0 Consultations
0 Téléchargements

Altmetric

Partager

More