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Characteristic analyses of a neural differentiation model from iPSC-derived neuron according to morphology, physiology, and global gene expression pattern

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 functiona...

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Autores principales: Kang, Sai, Chen, Xiaoxia, Gong, Siyi, Yu, Panpan, Yau, SukYu, Su, Zhenghui, Zhou, Libing, Yu, Jiandong, Pan, Guangjin, Shi, Lingling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5612987/
https://www.ncbi.nlm.nih.gov/pubmed/28947763
http://dx.doi.org/10.1038/s41598-017-12452-x
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author Kang, Sai
Chen, Xiaoxia
Gong, Siyi
Yu, Panpan
Yau, SukYu
Su, Zhenghui
Zhou, Libing
Yu, Jiandong
Pan, Guangjin
Shi, Lingling
author_facet Kang, Sai
Chen, Xiaoxia
Gong, Siyi
Yu, Panpan
Yau, SukYu
Su, Zhenghui
Zhou, Libing
Yu, Jiandong
Pan, Guangjin
Shi, Lingling
author_sort Kang, Sai
collection PubMed
description 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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spelling pubmed-56129872017-10-11 Characteristic analyses of a neural differentiation model from iPSC-derived neuron according to morphology, physiology, and global gene expression pattern Kang, Sai Chen, Xiaoxia Gong, Siyi Yu, Panpan Yau, SukYu Su, Zhenghui Zhou, Libing Yu, Jiandong Pan, Guangjin Shi, Lingling Sci Rep Article 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. Nature Publishing Group UK 2017-09-25 /pmc/articles/PMC5612987/ /pubmed/28947763 http://dx.doi.org/10.1038/s41598-017-12452-x Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kang, Sai
Chen, Xiaoxia
Gong, Siyi
Yu, Panpan
Yau, SukYu
Su, Zhenghui
Zhou, Libing
Yu, Jiandong
Pan, Guangjin
Shi, Lingling
Characteristic analyses of a neural differentiation model from iPSC-derived neuron according to morphology, physiology, and global gene expression pattern
title Characteristic analyses of a neural differentiation model from iPSC-derived neuron according to morphology, physiology, and global gene expression pattern
title_full Characteristic analyses of a neural differentiation model from iPSC-derived neuron according to morphology, physiology, and global gene expression pattern
title_fullStr Characteristic analyses of a neural differentiation model from iPSC-derived neuron according to morphology, physiology, and global gene expression pattern
title_full_unstemmed Characteristic analyses of a neural differentiation model from iPSC-derived neuron according to morphology, physiology, and global gene expression pattern
title_short Characteristic analyses of a neural differentiation model from iPSC-derived neuron according to morphology, physiology, and global gene expression pattern
title_sort characteristic analyses of a neural differentiation model from ipsc-derived neuron according to morphology, physiology, and global gene expression pattern
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5612987/
https://www.ncbi.nlm.nih.gov/pubmed/28947763
http://dx.doi.org/10.1038/s41598-017-12452-x
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