Pascual-Guerra J, Torres-Rico M, Paíno C L, Rodríguez-Navarro J A, García A G
Servicio de Neurobiología-Investigación, IRYCIS, Hospital Universitario Ramón y Cajal, Madrid, Spain; Fundación Teófilo Hernando, Madrid, Spain.
Fundación Teófilo Hernando, Madrid, Spain.
J Neurosci Methods. 2025 Mar;415:110336. doi: 10.1016/j.jneumeth.2024.110336. Epub 2024 Dec 7.
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.
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.
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.
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.
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.
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/或治疗的促髓鞘形成活性进行简单且经济高效的评估将非常有意义。在培养的少突胶质细胞中,通过分形分析可以评估不同药物和/或治疗的促髓鞘形成活性,分形分析能够测量细胞复杂性。
在两种O4细胞类型(神经干细胞衍生的和谱系转换的脂肪组织间充质细胞)处于增殖或分化条件下时评估分形维数。
这种最初用于分析小胶质细胞的分析方法,为细胞轮廓赋予一个定量值(分形维数),随着细胞大小和分支增加获得更高的系数,而不是对成熟少突胶质细胞标志物如髓鞘碱性蛋白(MBP)、髓鞘相关糖蛋白(MAG)、O1或髓鞘蛋白脂蛋白1/二甲基精氨酸蛋白20(PLP1/DM20)进行mRNA或蛋白质定量。
本文描述了一种使用ImageJ软件的FracLac插件在O4阳性(O4)少突胶质细胞的免疫荧光图像中进行分形分析的方法。用促髓鞘形成药物苯海索处理的O4细胞显示出比分对照组更高的分形维数。
结果证明了FracLac软件提供的分形维数系数在评估治疗对少突胶质细胞分化影响方面的有效性和敏感性。