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Conditional reprogramming: next generation cell culture.
Acta Pharmaceutica Sinica B ( IF 14.7 ) Pub Date : 2020-01-26 , DOI: 10.1016/j.apsb.2020.01.011
Xiaoxiao Wu 1, 2 , Shengpeng Wang 3 , Mingxing Li 1, 2 , Jing Li 4 , Jing Shen 1, 2 , Yueshui Zhao 1, 2 , Jun Pang 5 , Qinglian Wen 6 , Meijuan Chen 1, 2 , Bin Wei 7 , Parham Jabbarzadeh Kaboli 1, 2 , Fukuan Du 1, 2 , Qijie Zhao 1, 2 , Chi Hin Cho 1, 2, 8 , Yitao Wang 3 , Zhangang Xiao 1, 2 , Xu Wu 1, 2
Affiliation  

Long-term primary culture of mammalian cells has been always difficult due to unavoidable senescence. Conventional methods for generating immortalized cell lines usually require manipulation of genome which leads to change of important biological and genetic characteristics. Recently, conditional reprogramming (CR) emerges as a novel next generation tool for long-term culture of primary epithelium cells derived from almost all origins without alteration of genetic background of primary cells. CR co-cultures primary cells with inactivated mouse 3T3-J2 fibroblasts in the presence of RHO-related protein kinase (ROCK) inhibitor Y-27632, enabling primary cells to acquire stem-like characteristics while retain their ability to fully differentiate. With only a few years’ development, CR shows broad prospects in applications in varied areas including disease modeling, regenerative medicine, drug evaluation, drug discovery as well as precision medicine. This review is thus to comprehensively summarize and assess current progress in understanding mechanism of CR and its wide applications, highlighting the value of CR in both basic and translational researches and discussing the challenges faced with CR.



中文翻译:


条件重编程:下一代细胞培养。



由于不可避免的衰老,哺乳动物细胞的长期原代培养一直很困难。产生永生化细胞系的传统方法通常需要对基因组进行操作,这会导致重要的生物学和遗传特征的改变。最近,条件重编程(CR)作为一种新型的下一代工具出现,用于长期培养几乎所有来源的原代上皮细胞,而不改变原代细胞的遗传背景。 CR 在 RHO 相关蛋白激酶 (ROCK) 抑制剂 Y-27632 存在下将原代细胞与灭活的小鼠 3T3-J2 成纤维细胞共培养,使原代细胞获得干细胞样特征,同时保留其完全分化的能力。经过短短几年的发展,CR在疾病建模、再生医学、药物评价、药物发现以及精准医学等领域显示出广阔的应用前景。本文旨在全面总结和评估当前CR理解机制及其广泛应用的进展,突出CR在基础研究和转化研究中的价值,并讨论CR面临的挑战。

更新日期:2020-01-26
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