Department of Biological and Vision Sciences, College of Optometry, The State University of New York.
Department of Biological and Vision Sciences, College of Optometry, The State University of New York;
J Vis Exp. 2022 Mar 28(181). doi: 10.3791/63651.
Müller glia (MG) are the predominant glia in the neural retina and can function as a regenerative source for retinal neurons. In lower vertebrates such as fish, MG-driven regeneration occurs naturally; in mammals, however, stimulation with certain factors or genetic/epigenetic manipulation is required. Since MG comprise only 5% of the retinal cell population, there is a need for model systems that allow the study of this cell population exclusively. One of these model systems is primary MG cultures that are reproducible and can be used for a variety of applications, including molecule/factor screening and identification, testing of compounds or factors, cell monitoring, and/or functional tests. This model is used to study the potential of murine MG to convert into retinal neurons after supplementation or inhibition of microRNAs (miRNAs) via transfection of artificial miRNAs or their inhibitors. The use of MG-specific reporter mice in combination with immunofluorescent labeling and single-cell RNA sequencing (scRNA-seq) confirmed that 80%-90% of the cells found in these cultures are MG. Using this model, it was discovered that miRNAs can reprogram MG into retinal progenitor cells (RPCs), which subsequently differentiate into neuronal-like cells. The advantages of this technique are that miRNA candidates can be tested for their efficiency and outcome before their usage in in vivo applications.
Müller 胶质细胞(MG)是神经视网膜中的主要胶质细胞,可作为视网膜神经元的再生来源。在鱼类等较低等的脊椎动物中,MG 驱动的再生是自然发生的;然而,在哺乳动物中,需要通过某些因子的刺激或遗传/表观遗传操作来实现。由于 MG 仅占视网膜细胞群体的 5%,因此需要专门研究该细胞群体的模型系统。其中一种模型系统是原代 MG 培养物,它具有可重复性,可用于多种应用,包括分子/因子筛选和鉴定、化合物或因子测试、细胞监测和/或功能测试。该模型用于研究通过转染人工 miRNA 或其抑制剂补充或抑制 microRNAs(miRNAs)后,小鼠 MG 转化为视网膜神经元的潜力。使用 MG 特异性报告小鼠与免疫荧光标记和单细胞 RNA 测序(scRNA-seq)相结合,证实了在这些培养物中发现的 80%-90%的细胞是 MG。使用该模型,发现 miRNA 可以将 MG 重编程为视网膜祖细胞(RPC),随后这些 RPC 分化为类似神经元的细胞。该技术的优点是可以在体内应用之前测试 miRNA 候选物的效率和结果。