AIMC Topic: Oligodendroglia

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Integrative transcriptomic analysis reveals oligodendrocyte lineage switching in multiple sclerosis.

Life science alliance Aug 4, 2025
Multiple sclerosis (MS) is a chronic disease of the central nervous system. The occurrence of MS is a phased process while its cause is still unclear. Here, by combining white matter single-nucleus transcriptomic datasets from MS and control samples,...
Humans Female Cell Differentiation Multiple Sclerosis Microglia Oligodendrocyte Precursor Cells Oligodendroglia Cell Lineage White Matter Middle Aged Transcriptome Gene Expression Profiling Animals Male Adult
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Deep learning-based predictive identification of neural stem cell differentiation.

Nature communications May 10, 2021
The differentiation of neural stem cells (NSCs) into neurons is proposed to be critical in devising potential cell-based therapeutic strategies for central nervous system (CNS) diseases, however, the determination and prediction of differentiation is...
Nerve Growth Factors Oligodendroglia Neural Stem Cells Neurogenesis Computer Simulation Deep Learning Animals Neural Networks, Computer Cells, Cultured Neurons Rats Hormones Nanoparticles Fluorescent Antibody Technique Astrocytes Microscopy, Electron, Transmission
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Deep learning for high-throughput quantification of oligodendrocyte ensheathment at single-cell resolution.

Communications biology Mar 26, 2019
High-throughput quantification of oligodendrocyte myelination is a challenge that, if addressed, would facilitate the development of therapeutics to promote myelin protection and repair. Here, we established a high-throughput method to assess oligode...
Data Accuracy Myelin Sheath Cell Differentiation Oligodendroglia Nanofibers Oligodendrocyte Precursor Cells Axons Animals Brain Rats, Sprague-Dawley Rats Deep Learning Single-Cell Analysis
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Identifying the Role of Oligodendrocyte Genes in the Diagnosis of Alzheimer's Disease through Machine Learning and Bioinformatics Analysis.

Current Alzheimer research Jan 1, 2024
BACKGROUND: Due to the heterogeneity of Alzheimer's disease (AD), the underlying pathogenic mechanisms have not been fully elucidated. Oligodendrocyte (OL) damage and myelin degeneration are prevalent features of AD pathology. When oligodendrocytes a...
Computational Biology Alzheimer Disease Biomarkers Oligodendroglia Machine Learning Humans
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