Assessment of different strategies for scalable production and proliferation of human myoblasts

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Assessment of different strategies for scalable production and proliferation of human myoblasts
Title:
Assessment of different strategies for scalable production and proliferation of human myoblasts
Journal Title:
Cell Proliferation
Keywords:
Publication Date:
19 March 2019
Citation:
Chua, M‐WJ, Yildirim, ED, Tan, J‐HE, et al. Assessment of different strategies for scalable production and proliferation of human myoblasts. Cell Prolif. 2019; 52:e12602. https://doi.org/10.1111/cpr.12602Chua, M‐WJ, Yildirim, ED, Tan, J‐HE, et al. Assessment of different strategies for scalable production and proliferation of human myoblasts. Cell Prolif. 2019; 52:e12602. https://doi.org/10.1111/cpr.12602
Abstract:
Objectives: Myoblast transfer therapy (MTT) is a technique to replace muscle satellite cells with genetically repaired or healthy myoblasts, to treat muscular dystrophies. However, clinical trials with human myoblasts were ineffective, showing almost no benefit with MTT. One important obstacle is the rapid senescence of human myoblasts. The main purpose of our study was to compare the various methods for scalable generation of proliferative human myoblasts. Methods: We compared the immortalization of primary myoblasts with hTERT, cyclin D1 and CDK4R24C, two chemically defined methods for deriving myoblasts from pluripotent human embryonic stem cells (hESCs), and introduction of viral MyoD into hESC‐myoblasts. Results: Our results show that, while all the strategies above are suboptimal at generating bona fide human myoblasts that can both proliferate and differentiate robustly, chemically defined hESC‐monolayer‐myoblasts show the most promise in differentiation potential. Conclusions: Further efforts to optimize the chemically defined differentiation of hESC‐monolayer‐myoblasts would be the most promising strategy for the scalable generation of human myoblasts, for applications in MTT and high‐throughput drug screening.
License type:
http://creativecommons.org/licenses/by/4.0/
Funding Info:
Bill and Melinda Gates Foundation, Grant/Award Number: OPP1175940; Chinese Academy of Sciences, Grant/Award Number: XDA16020301 and KJZD-SW-L04; Thousand Young Talents Program, NMRC, Grant/Award Number: OFIRG/0031/2016
Description:
ISSN:
0960-7722
1365-2184
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