myogenic differentiation of human amniotic mesenchymal cells and its tissue repair capacity on volumetric muscle loss
Clicks: 328
ID: 144360
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Star Article
75.0
/100
328 views
247 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
StarRanked #1 of 2 articles by views in journal of tissue engineering
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Stem cell–based tissue engineering therapy is the most promising method for treating volumetric muscle loss. Human amniotic mesenchymal cells possess characteristics similar to those of embryonic stem cells. In this study, we verified the stem cell characteristics of human amniotic mesenchymal cells by the flow cytometry analysis, and osteogenic and adipogenic differentiation. Through induction with the DNA demethylating agent 5-azacytidine, human amniotic mesenchymal cells can undergo myogenic differentiation and express skeletal muscle cell–specific markers such as desmin and MyoD. The Wnt/β-catenin signaling pathway also plays an important role. After 5-azacytidine-induced human amniotic mesenchymal cells were implanted into rat tibialis anterior muscle with volumetric muscle loss, we observed increased angiogenesis and improved local tissue repair. We believe that human amniotic mesenchymal cells can serve as a potential source of cells for skeletal muscle tissue engineering.
| Reference Key |
zhang2019journalmyogenic
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Di Zhang;Kai Yan;Jing Zhou;Tianpeng Xu;Menglei Xu;Jiayi Lin;Jiaxiang Bai;Gaoran Ge;Dan Hu;Weibing Si;Yuefeng Hao;Dechun Geng |
| Journal | journal of tissue engineering |
| Year | 2019 |
| DOI |
10.1177/2041731419887100
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.