细胞生物学
祖细胞
转分化
细胞内
内皮干细胞
细胞器
内皮祖细胞
电池类型
心肌细胞
干细胞
细胞
重编程
化学
生物
体外
生物化学
作者
Masamichi Koyanagi,Ralf Peter Brandes,Judith Haendeler,Andreas Michael Zeiher,Stefanie Dimmeler
出处
期刊:Circulation Research
[Lippincott Williams & Wilkins]
日期:2005-05-07
卷期号:96 (10): 1039-1041
被引量:331
标识
DOI:10.1161/01.res.0000168650.23479.0c
摘要
The regeneration of new myocardium by stem or progenitor cells is an important therapeutic option. Cellular or nuclear fusion is considered as an alternative to cell reprogramming by transdifferentiation. However, the generation of hybrid cells may also be a consequence of a transient transmembrane exchange of proteins and organelles between cells. Therefore, we investigated the formation of intercellular connections, which may allow the transport of macromolecular structures between labeled adult human endothelial progenitor cells (EPC) and GFP-expressing neonatal rat cardiomyocytes (CM) in a coculture system. FACS analysis revealed that, 6 days after initiation of coculture, 2.1+/-0.4% of the cells stained positive for GFP and Dil-ac-LDL. 6 hours after initiation of the coculture, ultrafine intercellular structures between Dil-ac-LDL-labeled EPC and GFP-expressing CM were observed. The number of EPC, which established nanotubular connections with CM increased from 0.5+/-0.2% after 6 hours to 2.6+/-0.3% after 24 hours of coculture. The intercellular connections had a diameter from 50 to 800 nm, a length of 5 to 120 mum, and were only transiently established. To determine whether the nanotubular structures allowed the transport of organelles, we labeled CM with a mitochondrial live tracker (MitoTracker). Using time-lapse video microscopy, we observed the transport of stained complexes between CM and EPC resulting in up-take of MitoTracker-positive structures in EPC. Thus, the present study shows a novel type of cell-to-cell communication between progenitor cells and CM in vitro, which may contribute to the acquisition of a cardiomyogenic phenotype independent of permanent cellular or nuclear fusion.
科研通智能强力驱动
Strongly Powered by AbleSci AI