Fractal analysis to assess the differentiation state of oligodendroglia in culture.

IF 2.7 4区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of Neuroscience Methods Pub Date : 2025-03-01 Epub Date: 2024-12-07 DOI:10.1016/j.jneumeth.2024.110336
J Pascual-Guerra, M Torres-Rico, C L Paíno, J A Rodríguez-Navarro, A G García
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Abstract

Background: Oligodendroglial development is accompanied by increased cell complexity. A simple and cost-effective evaluation of the pro-myelinating activity of different drugs and/or treatments would be of great interest. In cultured oligodendroglia, an evaluation of the pro-myelinating activity of different drugs and/or treatments can be achieved through fractal analysis, which allows measuring cell complexity.

New method: Fractal dimension was assessed in two O4+ cell types (neural stem cell-derived and lineage-converted adipose tissue mesenchymal cells) under proliferating or differentiating conditions.

Comparison with existing methods: This analysis, which was originally developed to analyze microglia, assigns a quantitative value (fractal dimension) to cellular profiles, obtaining higher coefficients as cells increase in size and arborizations instead of mRNA or protein quantification of mature oligodendroglial markers, such as MBP, MAG, O1 or PLP1/DM20.

Results: This article describes a methodology to perform fractal analysis in immunofluorescent images of O4-positive (O4+) oligodendroglia using the FracLac plugin of ImageJ software. Pro-myelinating drug Benztropine-treated O4+ cells exhibit higher fractal dimension than control group.

Conclusions: The results demonstrated the effectiveness and sensitivity of the fractal dimension coefficient provided by FracLac software to assess the effects of treatments on oligodendroglial differentiation.

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分形分析评价培养少突胶质细胞分化状态。
背景:少突胶质细胞的发育伴随着细胞复杂性的增加。对不同药物和/或治疗的促髓鞘活性进行简单和经济有效的评估将是极大的兴趣。在培养的少突胶质细胞中,可以通过分形分析来评估不同药物和/或治疗的促髓鞘活性,这可以测量细胞的复杂性。新方法:在增殖或分化条件下,对两种O4+细胞类型(神经干细胞来源和世系转化脂肪组织间充质细胞)进行分形维数评估。与现有方法的比较:该分析最初是为了分析小胶质细胞而开发的,它为细胞谱分配了一个定量值(分形维数),随着细胞大小和分枝的增加,获得了更高的系数,而不是对成熟的少突胶质标记物(如MBP、MAG、O1或PLP1/DM20)进行mRNA或蛋白质定量。结果:本文描述了一种使用ImageJ软件的FracLac插件对O4阳性(O4+)少突胶质细胞免疫荧光图像进行分形分析的方法。促髓鞘药物苯托品处理的O4+细胞的分形维数高于对照组。结论:FracLac软件提供的分形维数系数评价治疗对少突胶质细胞分化影响的有效性和敏感性。
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来源期刊
Journal of Neuroscience Methods
Journal of Neuroscience Methods 医学-神经科学
CiteScore
7.10
自引率
3.30%
发文量
226
审稿时长
52 days
期刊介绍: The Journal of Neuroscience Methods publishes papers that describe new methods that are specifically for neuroscience research conducted in invertebrates, vertebrates or in man. Major methodological improvements or important refinements of established neuroscience methods are also considered for publication. The Journal''s Scope includes all aspects of contemporary neuroscience research, including anatomical, behavioural, biochemical, cellular, computational, molecular, invasive and non-invasive imaging, optogenetic, and physiological research investigations.
期刊最新文献
Electrode configurations for sensitive and specific detection of compound muscle action potentials to the tibialis anterior muscle after peroneal nerve injury in rats. Enhancing fMRI quality control. Multi-layer transfer learning algorithm based on improved common spatial pattern for brain-computer interfaces. Fractal analysis to assess the differentiation state of oligodendroglia in culture. STSimM: A new tool for evaluating neuron model performance and detecting spike trains similarity.
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