棘鼠模型中纤维脂肪源性祖细胞的分离、扩增和分化。

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Bruce Lin, Hesham Soliman, Fabio M V Rossi, Marine Theret
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引用次数: 0

摘要

由于其特殊的修复程序,多刺小鼠是再生医学的新兴研究模型。成纤维脂肪祖细胞是组织驻留细胞,能够分化为脂肪细胞、成纤维细胞和软骨细胞。纤维脂肪源性祖细胞是组织再生的基础,因为它们负责损伤后细胞外基质的重塑。本研究主要探讨纤维脂肪源性祖细胞在多刺小鼠心脏修复和骨骼肌再生中的特殊作用。为此,优化了用流式细胞术从酶解的骨骼肌和心肌中纯化棘鼠纤维脂肪祖细胞的方案。通过这种方法获得的细胞群能够在体外扩增,并能分化为肌成纤维细胞和脂肪细胞。该协议为研究人员提供了一个有价值的工具来检查刺鼠的独特特性,并将它们与小家鼠进行比较。这将提供见解,可以推进再生机制的理解在这个有趣的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fibro-Adipogenic Progenitor Isolation, Expansion, and Differentiation from the Spiny Mouse Model.

Due to its exceptional repair program, the spiny mouse is an emerging research model for regenerative medicine. Fibro-adipogenic progenitors are tissue-resident cells that are able to differentiate into adipocytes, fibroblasts, and chondrocytes. Fibro-adipogenic progenitors are fundamental for orchestrating tissue regeneration as they are responsible for extracellular matrix remodeling after injury. This study focuses on investigating the specific role of fibro-adipogenic progenitors in spiny mouse cardiac repair and skeletal muscle regeneration. To this end, a protocol has been optimized for the purification of spiny mouse fibro-adipogenic progenitors by flow cytometry from enzymatically dissociated skeletal and cardiac muscle. The population obtained from this protocol is capable of expanding in vitro, and can be differentiated to myofibroblasts and adipocytes. This protocol offers a valuable tool for researchers to examine the distinctive properties of spiny mouse, and to compare them to the Mus musculus. This will provide insights that could advance the understanding of regenerative mechanisms in this intriguing model.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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