...
首页> 外文期刊>Annals of anatomy =: Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft >Mapping the secretome of human chondrogenic progenitor cells with mass spectrometry
【24h】

Mapping the secretome of human chondrogenic progenitor cells with mass spectrometry

机译:用质谱法将人软骨祖细胞的秘密映射

获取原文
获取原文并翻译 | 示例

摘要

Tissue engineering offers promising perspectives in the therapy of osteoarthritis. In the context of cell based therapy, chondrogenic progenitor cells (CPCs) may be used to regenerate defects in cartilage tissue. An in-depth characterization of the secretome of CPCs is a prerequisite to this approach. In this study, a method was developed for the qualitative and quantitative analysis of the secretome of undifferentiated and differentiated CPCs. Secreted proteins from cells grown in two-dimensional as well as three-dimensional alginate cultures were extracted and analyzed by liquid chromatography/tandem mass spectrometry (LC-MS/MS). Quantitation was achieved by internal standardization using stable isotope-labeled amino acids in cell culture (SILAC). Qualitative analysis of CPC secretomes revealed ECM components, signal proteins and growth factors most of which were also found in healthy cartilage. A quantitative comparison revealed significantly upregulated proteins with regenerative potential during differentiation, while proteins involved in catabolic metabolism were significantly downregulated. The development of methods for qualitative and quantitative analysis of the secretome of CPCs by mass spectrometry provides a foundation for the investigation of progenitor or stem cells from other sources. (C) 2017 Elsevier GmbH. All rights reserved.
机译:组织工程在骨关节炎的治疗方面提供了有希望的观点。在基于细胞的治疗的背景下,软骨祖细胞(CPC)可用于再生软骨组织中的缺陷。 CPC秘密的深入表征是这种方法的先决条件。在本研究中,开发了一种方法,用于对未分化和分化的CPC的统计学的定性和定量分析。通过液相色谱/串联质谱(LC-MS / MS)萃取分泌细胞中生长的细胞的分泌蛋白质和分析并分析。通过使用稳定的同位素标记的细胞培养物(Silac)中标记的氨基酸的内部标准化来实现定量。 CPC X丙菌的定性分析揭示了ECM组分,信号蛋白和生长因子,其中大部分中也发现了健康的软骨中。定量比较显着上调了分化期间具有再生潜力的显着上调的蛋白质,而参与分解代谢代谢的蛋白质显着下调。通过质谱法对CPCS沉淀的定性和定量分析方法的发展为来自其他来源的祖细胞或干细胞的研究提供了基础。 (c)2017 Elsevier GmbH。版权所有。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号