Yasui Ryota, Sekine Keisuke, Yamaguchi Kiyoshi, Furukawa Yoichi, Taniguchi Hideki
Department of Regenerative Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan.
Fundamental Research Laboratory, Eiken Chemical Co., Ltd., Nogi, Tochigi, Japan.
Stem Cells. 2021 Apr;39(4):429-442. doi: 10.1002/stem.3326. Epub 2021 Jan 15.
Tissues and cells derived from pluripotent stem cells (PSC) are likely to become widely used in disease modeling, drug screening, and regenerative medicine. For these applications, the in vitro PSC differentiation process must be elaborately investigated and controlled to reliably obtain the desired end products. However, because traditional experimental methods, such as one factor at a time or brute-force approaches, are impractical for detailed screening of complex PSC cultivation conditions, more strategic and effective screening based on statistical design of experiments (DOE) ought to be indispensable. Among various DOE approaches, we regard robust parameter design (RPD) as particularly suited for differentiation protocol optimization due to its suitability for multifactorial screening. We confirmed the adaptability of RPD for investigating human induced PSC lineage specification toward anterior-posterior gut tube endodermal cells and clarified both the contribution of each cell signaling pathway and the effect of cell signaling condition alteration on marker RNA expression levels, while increasing the efficiency of the screening in 243-fold (18 vs 4374) compared with that of a brute-force approach. Specific induction of anterior foregut, hepatic, pancreatic, or mid-hindgut cells was achieved using seven iPSC strains with the optimal culture protocols established on the basis of RPD analysis. RPD has the potential to enable efficient construction and optimization of PSC differentiation protocols, and its use is recommended from fundamental research to mass production of PSC-derived products.
源自多能干细胞(PSC)的组织和细胞可能会在疾病建模、药物筛选和再生医学中得到广泛应用。对于这些应用,必须精心研究和控制体外PSC分化过程,以可靠地获得所需的最终产物。然而,由于传统的实验方法,如一次一个因素或蛮力方法,对于详细筛选复杂的PSC培养条件不切实际,基于实验设计(DOE)的更具策略性和有效性的筛选应该是必不可少的。在各种DOE方法中,我们认为稳健参数设计(RPD)特别适合于分化方案优化,因为它适用于多因素筛选。我们证实了RPD在研究人类诱导PSC向前后肠管内胚层细胞的谱系特化方面的适用性,并阐明了每个细胞信号通路的贡献以及细胞信号条件改变对标记RNA表达水平的影响,同时与蛮力方法相比,筛选效率提高了243倍(18比4374)。使用基于RPD分析建立的最佳培养方案,通过七种iPSC株系实现了前肠、肝、胰腺或中后肠细胞的特异性诱导。RPD有潜力实现PSC分化方案的高效构建和优化,建议从基础研究到PSC衍生产品的大规模生产都使用它。