Derivation and Identification of Motor Neurons from Human Urine-Derived Induced Pluripotent Stem Cells
Derivation and Identification of Motor Neurons from Human Urine-Derived Induced Pluripotent Stem Cells
复制标题
人尿源诱导多能干细胞运动神经元的衍生和鉴定
DOI：
10.1155/2018/3628578
复制
发表时间：
2018-01
影响因子：
4.3
通讯作者：
Fuhua Peng
中科院分区：
文献类型：
--
作者：
Huan Yi;Bingbing Xie;Ben Liu;Xuan Wang;Li Xu;Jia Liu;Min Li;Xiufeng Zhong;Fuhua Peng
诱导多能干细胞（iPSC）为运动神经元疾病（MND）建模、药物筛选和细胞治疗开发提供了新的机会。在各种类型的iPSC中，尿来源的iPSC已成为干细胞的有前途的来源，因为它们可以安全且非侵入性地分离并容易地重编程。在这里，我们第一次将尿来源的iPSC（urine-iPSC）分化成运动神经元（MN），并比较了尿-iPSC和脐带血来源的iPSC（B-iPSC）分化成MN的能力。通过使用小分子，早在培养26天就从尿-iPSC产生成熟MN。此外，在与肌细胞共培养，MNs投射长轴突和形成神经肌肉接头（NMJs）。免疫荧光和PCR证实了MN和NMJ标记物的表达水平。比较尿-iPSC和B-iPSC之间MN标记物的阳性标记比率表明，这些细胞的分化潜能没有显著差异。上述结果表明，尿-iPSC是用于MND建模和进一步的细胞治疗开发的新的、有前景的干细胞来源。
Induced pluripotent stem cells (iPSCs) have provided new opportunities for motor neuron disease (MND) modeling, drug screening, and cellular therapeutic development. Among the various types of iPSCs, urine-derived iPSCs have become a promising source of stem cells because they can be safely and noninvasively isolated and easily reprogrammed. Here, for the first time, we differentiated urine-derived iPSCs (urine-iPSCs) into motor neurons (MNs) and compared the capacity of urine-iPSCs and cord-blood-derived iPSCs (B-iPSCs) to differentiate into MNs. With the use of small molecules, mature MNs were generated from urine-iPSCs as early as 26 days in culture. Furthermore, in coculture with muscle cells, MNs projected long axons and formed neuromuscular junctions (NMJs). Immunofluorescence and PCR confirmed the expression levels of both MN and NMJ markers. The comparison of the ratios of positive labeling for MN markers between urine-iPSCs and B-iPSCs demonstrated that the differentiation potentials of these cells were not significantly different. The abovementioned results indicate that urine-iPSCs are a new, promising source of stem cells for MND modeling and further cellular therapeutic development.
登录
查看更多内容
影响因子：
34.7
作者：
Hur, Eun-Mi;Zhou, Feng-Quan
通讯作者：
Zhou, Feng-Quan
影响因子：
16.6
作者：
Du, Zhong-Wei;Chen, Hong;Liu, Huisheng;Lu, Jianfeng;Qian, Kun;Huang, CindyTzu-Ling;Zhong, Xiaofen;Fan, Frank;Zhang, Su-Chun
通讯作者：
Zhang, Su-Chun
影响因子：
5.3
作者：
Puttonen KA;Ruponen M;Naumenko N;Hovatta OH;Tavi P;Koistinaho J
通讯作者：
Koistinaho J
影响因子：
--
作者：
Liu, Weiwei;Chen, Guokai
通讯作者：
Chen, Guokai
影响因子：
6.2
作者：
Xu, Leyan;Yan, Jun;Koliatsos, Vassilis E.
通讯作者：
Koliatsos, Vassilis E.