Nonintegrating Direct Conversion Using mRNA into Hepatocyte-Like Cells
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoon, Sangtae | - |
dc.contributor.author | Kang, Kyojin | - |
dc.contributor.author | Cho, Young-Duck | - |
dc.contributor.author | Kim, Yohan | - |
dc.contributor.author | Buisson, Elina Maria | - |
dc.contributor.author | Yim, Ji-Hye | - |
dc.contributor.author | Lee, Seung Bum | - |
dc.contributor.author | Ryu, Ki-Young | - |
dc.contributor.author | Jeong, Jaemin | - |
dc.contributor.author | Choi, Dongho | - |
dc.date.accessioned | 2021-12-19T04:40:21Z | - |
dc.date.available | 2021-12-19T04:40:21Z | - |
dc.date.created | 2021-08-30 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 2314-6133 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/132130 | - |
dc.description.abstract | Recently, several researchers have reported that direct reprogramming techniques can be used to differentiate fibroblasts into hepatocyte-like cells without a pluripotent intermediate step. However, the use of viral vectors for conversion continues to pose important challenges in terms of genome integration. Herein, we propose a new method of direct conversion without genome integration with potential clinical applications. To generate hepatocyte-like cells, mRNA coding for the hepatic transcription factors Foxa3 and HNF4 alpha was transfected into mouse embryonic fibroblasts. After 10-12 days, the fibroblasts converted to an epithelial morphology and generated colonies of hepatocyte-like cells (R-iHeps). The generated R-iHceps expressed hepatocyte- specific marker genes and proteins, including albumin, alpha-fetoprotein, HNF4 alpha, CK18, and CYP1A2. To evaluate hepatic function, indocyanine green uptake, periodic acid-Schiff staining, and albumin secretion were assessed. Furthermore, mCherry-positive R-iHeps were engrafted in the liver of Alb-TRECK/SCID mice, and we confirmed FAH enzyme expression in Fah(1R)Tyr(c)/RJ models. In conclusion, our data suggest that the nonintegrating method using mRNA has potential for cell therapy. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | HINDAWI LTD | - |
dc.subject | LIVER-TRANSPLANTATION | - |
dc.subject | CARDIAC FIBROBLASTS | - |
dc.subject | GLOBAL BURDEN | - |
dc.subject | PLURIPOTENT | - |
dc.subject | DISEASE | - |
dc.subject | TUMORIGENICITY | - |
dc.subject | GENERATION | - |
dc.subject | NEURONS | - |
dc.title | Nonintegrating Direct Conversion Using mRNA into Hepatocyte-Like Cells | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Cho, Young-Duck | - |
dc.identifier.doi | 10.1155/2018/8240567 | - |
dc.identifier.scopusid | 2-s2.0-85054379813 | - |
dc.identifier.wosid | 000446043400001 | - |
dc.identifier.bibliographicCitation | BIOMED RESEARCH INTERNATIONAL, v.2018 | - |
dc.relation.isPartOf | BIOMED RESEARCH INTERNATIONAL | - |
dc.citation.title | BIOMED RESEARCH INTERNATIONAL | - |
dc.citation.volume | 2018 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Biotechnology & Applied Microbiology | - |
dc.relation.journalResearchArea | Research & Experimental Medicine | - |
dc.relation.journalWebOfScienceCategory | Biotechnology & Applied Microbiology | - |
dc.relation.journalWebOfScienceCategory | Medicine, Research & Experimental | - |
dc.subject.keywordPlus | LIVER-TRANSPLANTATION | - |
dc.subject.keywordPlus | CARDIAC FIBROBLASTS | - |
dc.subject.keywordPlus | GLOBAL BURDEN | - |
dc.subject.keywordPlus | PLURIPOTENT | - |
dc.subject.keywordPlus | DISEASE | - |
dc.subject.keywordPlus | TUMORIGENICITY | - |
dc.subject.keywordPlus | GENERATION | - |
dc.subject.keywordPlus | NEURONS | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.