Pancreatic Islet-like Clusters from Periosteum-derived Progenitor Cells
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Su-Jung | - |
dc.contributor.author | Choi, Yong-Soo | - |
dc.contributor.author | Kim, Sun-Mi | - |
dc.contributor.author | Lim, Sang-Min | - |
dc.contributor.author | Jun, Hee-Sook | - |
dc.contributor.author | Park, Eun-Young | - |
dc.contributor.author | Hwang, Ok-Kyung | - |
dc.contributor.author | Lee, Chang-Woo | - |
dc.contributor.author | Kim, Dong-Il | - |
dc.date.available | 2020-02-28T22:43:27Z | - |
dc.date.created | 2020-02-06 | - |
dc.date.issued | 2013-11 | - |
dc.identifier.issn | 1226-8372 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14144 | - |
dc.description.abstract | Recent studies comparing the insulin-producing cell (IPC) differentiation capacity of mesenchymal stem cells (MSCs) derived from four different sources (bone marrow, Wharton's jelly, adipose tissue, and the periosteum) demonstrated that IPC differentiation of periosteum-derived progenitor cells (PDPCs) progressed faster than any other MSCs within 7 days, indicating that PDPCsare most suited to IPC differentiation. Here, two different cell culture methods, adhesion and cluster culture, were assessed for their ability to support in vitro IPC differentiation. The induction of IPC differentiation was confirmed by RT-qPCR analysis of insulin gene expression levels and immunofluorescence analysis of insulin protein. An enzyme-linked immunosorbent assay was used to quantify secreted insulin. PDPC-derived IPCs from cluster cultures demonstrated a significantly increased expression of insulin and an enhanced secretion of insulin of insulin protein in response to glucose compared to IPCs derived from adhesion cultures. Thus, pancreatic islet-like cluster cultures appear to provide the optimal conditions such as cluster culture for IPC differentiation of PDPCs. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | KOREAN SOC BIOTECHNOLOGY & BIOENGINEERING | - |
dc.relation.isPartOf | BIOTECHNOLOGY AND BIOPROCESS ENGINEERING | - |
dc.title | Pancreatic Islet-like Clusters from Periosteum-derived Progenitor Cells | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000329233200009 | - |
dc.identifier.doi | 10.1007/s12257-013-0005-1 | - |
dc.identifier.bibliographicCitation | BIOTECHNOLOGY AND BIOPROCESS ENGINEERING, v.18, no.6, pp.1116 - 1121 | - |
dc.identifier.kciid | ART001839155 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-84892660483 | - |
dc.citation.endPage | 1121 | - |
dc.citation.startPage | 1116 | - |
dc.citation.title | BIOTECHNOLOGY AND BIOPROCESS ENGINEERING | - |
dc.citation.volume | 18 | - |
dc.citation.number | 6 | - |
dc.contributor.affiliatedAuthor | Jun, Hee-Sook | - |
dc.contributor.affiliatedAuthor | Park, Eun-Young | - |
dc.contributor.affiliatedAuthor | Hwang, Ok-Kyung | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | insulin-producing cells | - |
dc.subject.keywordAuthor | mesenchymal stem cell | - |
dc.subject.keywordAuthor | periosteum-derived progenitor cell | - |
dc.subject.keywordAuthor | type 1 diabetes | - |
dc.subject.keywordAuthor | cluster cultures | - |
dc.subject.keywordPlus | MESENCHYMAL STEM-CELLS | - |
dc.subject.keywordPlus | INSULIN | - |
dc.subject.keywordPlus | DIFFERENTIATION | - |
dc.relation.journalResearchArea | Biotechnology & Applied Microbiology | - |
dc.relation.journalWebOfScienceCategory | Biotechnology & Applied Microbiology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon 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.