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Aubert, I.

Publications and source records attributed to Aubert, I..

2 recordsLinked to original sources

Plagl1 is part of the mammalian retinal injury response and a critical regulator of Muller glial cell quiescence

Retinal damage triggers reactive gliosis in Muller glia across vertebrate species, but only in regenerative animals, such as teleost fish, do Muller glia initiate repair; proliferating and undergoing neurogenesis to replace lost cells. By mining scRNA-seq and bulk RNA-seq datasets, we found that Plagl1, a maternally imprinted gene, is dynamically regulated in reactive Muller glia post-insult, with transcript levels transiently increasing before stably declining. To study Plagl1 retinal function, we examined Plagl1+/-pat null mutants postnatally, revealing defects in retinal architecture, visual signal processing and a reactive gliotic phenotype. Plagl1+/-pat Muller glia proliferate ectopically and give rise to inner retinal neurons and photoreceptors. Transcriptomic and ATAC-seq profiles revealed similarities between Plagl1+/-pat retinas and neurodegenerative and injury models, including an upregulation of pro-gliogenic and pro-proliferative pathways, such as Notch, not observed in wild-type retinas Plagl1 is thus an essential component of the transcriptional regulatory networks that retain mammalian Muller glia in quiescence.

neuroscience↗

MORPHIOUS: A Machine Learning Workflow to Naively Detect the Activation of Microglia and Astrocytes.

In cases of brain injury, degeneration and repair, defining microglia and astrocytic activation using cellular markers alone remains a challenging task. We developed MORPHIOUS, an unsupervised machine learning workflow that utilizes a one-class support vector machine to segment clusters of activated glia by only referencing examples of non-activated glia. Here, glial activation was triggered using focused ultrasound to permeabilize the hippocampal blood-brain barrier. Analyzing the hippocampal sections seven days later, MORPHIOUS identified two classes of microglia which showed characteristic activation features, including increases in ionized calcium-binding adapter molecule 1 expression, soma size, and de-ramification. MORPHIOUS was further used to identify clusters of activated astrocytes, which showed increased expression of glial fibrillary acidic protein and branching. Thus, by only referencing untreated glia morphologies, MORPHIOUS can identify diverse and novel manifestations of glial activation. This provides significant improvements for characterizing glial activation in cases of injury, neurodegeneration, and regeneration.

neuroscience↗