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Title: Efficient and robust differentiation of endothelial cells from human induced pluripotent stem cells via lineage control with VEGF and cyclic AMP
Authors: Ikuno, Takeshi
Masumoto, Hidetoshi  kyouindb  KAKEN_id  orcid (unconfirmed)
Yamamizu, Kohei
Yoshioka, Miki
Minakata, Kenji
Ikeda, Tadashi  kyouindb  KAKEN_id
Sakata, Ryuzo
Yamashita, Jun K.
Author's alias: 山下, 潤
Issue Date: 13-Mar-2017
Publisher: Public Library of Science
Journal title: PLOS ONE
Volume: 12
Issue: 3
Thesis number: e0173271
Abstract: Blood vessels are essential components for many tissues and organs. Thus, efficient induction of endothelial cells (ECs) from human pluripotent stem cells is a key method for generating higher tissue structures entirely from stem cells. We previously established an EC differentiation system with mouse pluripotent stem cells to show that vascular endothelial growth factor (VEGF) is essential to induce ECs and that cyclic adenosine monophosphate (cAMP) synergistically enhances VEGF effects. Here we report an efficient and robust EC differentiation method from human pluripotent stem cell lines based on a 2D monolayer, serum-free culture. We controlled the direction of differentiation from mesoderm to ECs using stage-specific stimulation with VEGF and cAMP combined with the elimination of non-responder cells at early EC stage. This "stimulation-elimination" method robustly achieved very high efficiency (>99%) and yield (>10 ECs from 1 hiPSC input) of EC differentiation, with no purification of ECs after differentiation. We believe this method will be a valuable technological basis broadly for regenerative medicine and 3D tissue engineering.
Description: ヒトiPS細胞から高効率に血管細胞を作る方法を開発. 京都大学プレスリリース. 2017-03-16.
Rights: © 2017 Ikuno et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI(Published Version): 10.1371/journal.pone.0173271
PubMed ID: 28288160
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