Clever Experimental Designs: Shortcuts for Better iPSC Differentiation.
Clever Experimental Designs: Shortcuts for Better iPSC Differentiation.
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聪明的实验设计：更好的iPSC分化的捷径。
DOI：
10.3390/cells10123540
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发表时间：
2021-12-15
期刊：
影响因子：
6
通讯作者：
Taniguchi H
中科院分区：
文献类型：
--
作者：
Yasui R;Sekine K;Taniguchi H
为了将多能干细胞 (PSC) 实际用于疾病建模、药物筛选和再生医学，需要适当改进细胞分化过程，以生成一致且高质量的最终产品。为了构建和优化稳健的细胞诱导过程，应考虑多种细胞培养条件。与低效的强力筛选相比，实验统计设计 (DOE) 方法，例如因子设计、正交阵列设计、响应面方法 (RSM)、明确筛选设计 (DSD) 和混合设计，可以通过多因素筛选和/或定量建模，在较小的实验运行中实现高效且战略性的条件筛选。尽管 DOE 已在生物工程和制药领域得到常规应用，但迫切需要更详细的细胞谱系规范、复杂的类器官构建以及合格的细胞源材料的稳定供应，这需要加快 DOE 在干细胞生物加工中的利用。本综述总结了基于 DOE 的 PSC、间充质干细胞 (MSC)、造血干细胞 (HSC) 和中国仓鼠卵巢 (CHO) 细胞的细胞培养优化，这指导了 PSC 衍生材料在学术和工业应用中的有效研究和开发。
For practical use of pluripotent stem cells (PSCs) for disease modelling, drug screening, and regenerative medicine, the cell differentiation process needs to be properly refined to generate end products with consistent and high quality. To construct and optimize a robust cell-induction process, a myriad of cell culture conditions should be considered. In contrast to inefficient brute-force screening, statistical design of experiments (DOE) approaches, such as factorial design, orthogonal array design, response surface methodology (RSM), definitive screening design (DSD), and mixture design, enable efficient and strategic screening of conditions in smaller experimental runs through multifactorial screening and/or quantitative modeling. Although DOE has become routinely utilized in the bioengineering and pharmaceutical fields, the imminent need of more detailed cell-lineage specification, complex organoid construction, and a stable supply of qualified cell-derived material requires expedition of DOE utilization in stem cell bioprocessing. This review summarizes DOE-based cell culture optimizations of PSCs, mesenchymal stem cells (MSCs), hematopoietic stem cells (HSCs), and Chinese hamster ovary (CHO) cells, which guide effective research and development of PSC-derived materials for academic and industrial applications.
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影响因子：
3.7
作者：
Badenes SM;Fernandes TG;Cordeiro CS;Boucher S;Kuninger D;Vemuri MC;Diogo MM;Cabral JM
通讯作者：
Cabral JM
影响因子：
7
作者：
Collins, Linda M.;Dziak, John J.;Li, Runze
通讯作者：
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影响因子：
3.7
作者：
Barbosa HS;Fernandes TG;Dias TP;Diogo MM;Cabral JM
通讯作者：
Cabral JM
影响因子：
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作者：
Enochson L;Brittberg M;Lindahl A
通讯作者：
Lindahl A
影响因子：
3.8
作者：
Fouladiha, Hamideh;Marashi, Sayed-Amir;Vaziri, Behrouz
通讯作者：
Vaziri, Behrouz