FLI1 and PKC co-activation promote highly efficient differentiation of human embryonic stem cells into endothelial-like cells View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-02

AUTHORS

Hao Zhao, Yan Zhao, Zili Li, Qi Ouyang, Yi Sun, Di Zhou, Pingyuan Xie, Sicong Zeng, Lingfeng Dong, Hua Wen, Guangxiu Lu, Ge Lin, Liang Hu

ABSTRACT

Rationale-endothelial cells (ECs) play important roles in various regeneration processes and can be used in a variety of therapeutic applications, such as cardiac regeneration, gene therapy, tissue-engineered vascular grafts and prevascularized tissue transplants. ECs can be acquired from pluripotent and adult stem cells. To acquire ECs from human embryonic stem cells (hESCs) in a fast, efficient and economic manner. We established a conditional overexpression system in hESCs based on 15 transcription factors reported to be responsible for hematopoiesis lineage. Among them, only overexpression of FLI1 could induce hESCs to a hematopoietic lineage. Moreover, simultaneous overexpression of FLI1 and activation of PKC rapidly and efficiently induced differentiation of hESCs into induced endothelial cells (iECs) within 3 days, while neither FLI1 overexpression nor PKC activation alone could derive iECs from hESCs. During induction, hESCs differentiated into spindle-like cells that were consistent in appearance with ECs. Flow cytometric analysis revealed that 92.2-98.9% and 87.2-92.6% of these cells were CD31+ and CD144+, respectively. Expression of vascular-specific genes dramatically increased, while the expression of pluripotency genes gradually decreased during induction. iECs incorporated acetylated low-density lipoproteins, strongly expressed vWF and bound UEA-1. iECs also formed capillary-like structures both in vitro and in vivo. RNA-seq analysis verified that these cells closely resembled their in vivo counterparts. Our results showed that co-activation of FLI1 and PKC could induce differentiation of hESCs into iECs in a fast, efficient and economic manner. More... »

PAGES

131

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41419-017-0162-9

DOI

http://dx.doi.org/10.1038/s41419-017-0162-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100653387

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29374149


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41419-017-0162-9'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41419-017-0162-9'

Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41419-017-0162-9'


 

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