Characteristic analyses of a neural differentiation model from iPSC-derived neuron according to morphology, physiology, and global gene expression pattern.
Characteristic analyses of a neural differentiation model from iPSC-derived neuron according to morphology, physiology, and global gene expression pattern.
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根据 iPSC 衍生的形态学、生理学和整体基因表达模式对神经分化模型进行特征分析
DOI:
10.1038/s41598-017-12452-x
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发表时间:
2017-09-25
影响因子:
4.6
通讯作者:
Shi L
中科院分区:
文献类型:
--
作者:
Kang S;Chen X;Gong S;Yu P;Yau S;Su Z;Zhou L;Yu J;Pan G;Shi L
Induced pluripotent stem cells (iPSCs) can differentiate into neural progenitor cells (NPC) under proper conditions. NPC can be used as a model and is a useful tool for disease mechanism exploration and drug screening. However, the characteristics of the cells in various stages from NPC to functional neurons have not been fully described. This study investigated the characteristics of iPSC-derived NPCs during differentiation. Morphological characteristics of the NPCs, including soma area, neurite length, and the number of neurite branches, were examined on selected differentiation days. Physiological functions were assessed by recordings of sodium current, spontaneous excitatory postsynaptic current (sEPSC), and spontaneous inhibitory postsynaptic current (sIPSC). Furthermore, gene expression patterns were assessed with RNA-seq. We found that NPCs derived from iPSCs can be differentiated into glutamatergic and gabaergic neurons. Cell growth peaked during differentiation day 7–12, as the soma area decreased after day 12, growth cone and the number of branches peaked at day 9 and decreased afterwards; whereas a functional synapse formed after day 23. RNA-seq analysis found that a differential expression pattern emerged by day 7. Overall, the study provides a framework for the differentiation process of hiPSC-derived NPCs.
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影响因子:
64.8
作者:
Israel, Mason A.;Yuan, Shauna H.;Bardy, Cedric;Reyna, Sol M.;Mu, Yangling;Herrera, Cheryl;Hefferan, Michael P.;Van Gorp, Sebastiaan;Nazor, Kristopher L.;Boscolo, Francesca S.;Carson, Christian T.;Laurent, Louise C.;Marsala, Martin;Gage, Fred H.;Remes, Anne M.;Koo, Edward H.;Goldstein, Lawrence S. B.
通讯作者:
Goldstein, Lawrence S. B.
影响因子:
64.5
作者:
Park IH;Arora N;Huo H;Maherali N;Ahfeldt T;Shimamura A;Lensch MW;Cowan C;Hochedlinger K;Daley GQ
通讯作者:
Daley GQ
影响因子:
64.5
作者:
Rolland T;Taşan M;Charloteaux B;Pevzner SJ;Zhong Q;Sahni N;Yi S;Lemmens I;Fontanillo C;Mosca R;Kamburov A;Ghiassian SD;Yang X;Ghamsari L;Balcha D;Begg BE;Braun P;Brehme M;Broly MP;Carvunis AR;Convery-Zupan D;Corominas R;Coulombe-Huntington J;Dann E;Dreze M;Dricot A;Fan C;Franzosa E;Gebreab F;Gutierrez BJ;Hardy MF;Jin M;Kang S;Kiros R;Lin GN;Luck K;MacWilliams A;Menche J;Murray RR;Palagi A;Poulin MM;Rambout X;Rasla J;Reichert P;Romero V;Ruyssinck E;Sahalie JM;Scholz A;Shah AA;Sharma A;Shen Y;Spirohn K;Tam S;Tejeda AO;Wanamaker SA;Twizere JC;Vega K;Walsh J;Cusick ME;Xia Y;Barabási AL;Iakoucheva LM;Aloy P;De Las Rivas J;Tavernier J;Calderwood MA;Hill DE;Hao T;Roth FP;Vidal M
通讯作者:
Vidal M
DOI:
10.1242/dev.123851
发表时间:
2015-09-15
期刊:
Development (Cambridge, England)
影响因子:
--
作者:
Kirwan P;Turner-Bridger B;Peter M;Momoh A;Arambepola D;Robinson HP;Livesey FJ
通讯作者:
Livesey FJ
影响因子:
46.9
作者:
Chambers, Stuart M.;Fasano, Christopher A.;Papapetrou, Eirini P.;Tomishima, Mark;Sadelain, Michel;Studer, Lorenz
通讯作者:
Studer, Lorenz