Department of Chemical and Biological Engineering and Center for Biotechnology & Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York.
Department of Chemical and Biomolecular Engineering, University of California, Berkeley, California.
Biotechnol Bioeng. 2019 Jan;116(1):168-180. doi: 10.1002/bit.26839. Epub 2018 Oct 27.
Identification of conditions for guided and specific differentiation of human stem cell and progenitor cells is important for continued development and engineering of in vitro cell culture systems for use in regenerative medicine, drug discovery, and human toxicology. Three-dimensional (3D) and organotypic cell culture models have been used increasingly for in vitro cell culture because they may better model endogenous tissue environments. However, detailed studies of stem cell differentiation within 3D cultures remain limited, particularly with respect to high-throughput screening. Herein, we demonstrate the use of a microarray chip-based platform to screen, in high-throughput, individual and paired effects of 12 soluble factors on the neuronal differentiation of a human neural progenitor cell line (ReNcell VM) encapsulated in microscale 3D Matrigel cultures. Dose-response analysis of selected combinations from the initial combinatorial screen revealed that the combined treatment of all-trans retinoic acid (RA) with the glycogen synthase kinase 3 inhibitor CHIR-99021 (CHIR) enhances neurogenesis while simultaneously decreases astrocyte differentiation, whereas the combined treatment of brain-derived neurotrophic factor and the small azide neuropathiazol enhances the differentiation into neurons and astrocytes. Subtype specification analysis of RA- and CHIR-differentiated cultures revealed that enhanced neurogenesis was not biased toward a specific neuronal subtype. Together, these results demonstrate a high-throughput screening platform for rapid evaluation of differentiation conditions in a 3D environment, which will aid the development and application of 3D stem cell culture models.
鉴定条件,以指导和具体分化的人类干细胞和祖细胞是非常重要的,为持续发展和工程的体外细胞培养系统,用于再生医学,药物发现,和人类毒理学。三维(3D)和器官样细胞培养模型已被越来越多地用于体外细胞培养,因为它们可能更好地模拟内源性组织环境。然而,详细的研究干细胞分化在 3D 培养仍然有限,特别是在高通量筛选。在此,我们展示了使用微阵列芯片为基础的平台,以筛选,在高通量,个人和配对的影响,12 个可溶性因子对神经元分化的人类神经祖细胞系(ReNcell VM)封装在微尺度 3D Matrigel 文化。剂量反应分析选定的组合从最初的组合筛选显示,联合治疗的全反式视黄酸(RA)与糖原合成酶激酶 3 抑制剂 CHIR-99021(CHIR)增强神经发生,同时减少星形胶质细胞分化,而联合治疗脑源性神经营养因子和小叠氮神经噻唑增强分化成神经元和星形胶质细胞。亚型特异性分析 RA 和 CHIR 分化培养表明,增强神经发生不是偏向于特定的神经元亚型。总之,这些结果表明一个高通量筛选平台,用于快速评估分化条件在 3D 环境中,这将有助于发展和应用 3D 干细胞培养模型。